{"title":"NVIDIA Jetson","description":"Global collection of NVIDIA Jetson Products.","products":[{"product_id":"nvidia-jetson-nano-case-online","title":"NVIDIA Jetson Nano Case","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eNVIDIA \u003c\/span\u003e\u003cspan\u003eJetson Nano Case is a newly designed case compatible with the Jetson Nano Developer Kit (For the original version and B01 version) (Case only). \u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eIt is a powerful 3D printed case to protect the Jetson Nano Developer kit. The case is durable and lets the kit fit-in easily. It allows running multiple networks at the same time. The case supports a power switch and resets the switch.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eIt has a separate space for the antenna to connect the kit wirelessly, also a separate cut out for the ventilation fan. The case has dedicated space to insert a sim\/micro card. 3D printed \u003c\/span\u003e\u003cspan\u003eNVIDIA \u003c\/span\u003e\u003cspan\u003eJetson Nano Case does a great job by supporting the kit. Our 3D printing case gives an amazing look to the kit.  \u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003eNVIDIA Jetson Nano Case is a fully \u003ca href=\"https:\/\/thinkrobotics.in\/collections\/3d-printed-products\"\u003e3d printed product\u003c\/a\u003e. It is designed with environment-friendly material. The case can be customized as per the requirement. The top of the case is designed to control the heat of the NVIDIA Jetson Nano kit. The case is sturdy and covered with the protection film to protect from any scratches till the time it reaches you. It is small in size, powerful and affordable for everyone. \u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch3 dir=\"ltr\"\u003e\u003cspan\u003eSpecifications\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eMaterial: PLA(\u003c\/span\u003e\u003cspan\u003ePolylactide\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eColor: Available on demand\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eSize: \u003c\/span\u003e\u003cspan\u003e115mm * 90mm * 65mm (L * B * H)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCompatible with: NVIDIA Jetson Nano\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eSeparate cut out for ventilation fan\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\u003c\/ul\u003e","brand":"ThinkRobotics","offers":[{"title":"Regular","offer_id":39280231972950,"sku":"3D0003","price":1175.99,"currency_code":"INR","in_stock":true},{"title":"Mini","offer_id":39280232005718,"sku":"3D0004","price":1175.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/photo_2020-07-06_16-23-58_2.jpg?v=1594982644"},{"product_id":"nvidia-jetson-xavier-case-online","title":"NVIDIA Jetson Xavier Case","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eNVIDIA Jetson \u003c\/span\u003e\u003cspan\u003eXavier \u003c\/span\u003e\u003cspan\u003eCase is a newly designed case compatible with the Jetson \u003c\/span\u003e\u003cspan\u003eXavier NX Developer Kit that brings a supercomputer performance to the edge in a small form factor system-on-module (SOM).\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003eIt is a fully \u003ca href=\"https:\/\/thinkrobotics.in\/collections\/3d-printed-products\"\u003e3D Printed Product\u003c\/a\u003e and is made up of eco-friendly material. The case can be customized as per your requirements. This case is dustproof and also has cutouts for the ventilation fan.  The premium quality finishes Xavier case is much better than the metal case as it erodes the problem of rust or corrosion and is also lightweight. Its unique design makes it attractive and also flexible to use.\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe cuts are made at the appropriate places which allow the air to pass easily. The material is very sturdy which makes this case strong.  It is covered with theprotection film to protect from any scratches till the time it reaches you. The best part about this product is that the amazingly designed camera holder (color in contrast with the case ) is also provided with it.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eIt is a powerful 3D printed case to protect the Jetson Xavier  NX  Developer Kit. The case is durable and It allows running multiple networks at the same time. The case supports a power switch and resets the switch. It has a separate space for the antenna to connect the kit wirelessly, also a separate cut out for the ventilation fan. The case has a dedicated cutout to insert a sim\/micro card. 3D printed NVIDIA Jetson Xavier Case does a great job by supporting the Jetson Xavier  NX.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe top of the case is designed to control the heat of the NVIDIA Jetson  Xavier  NX  Developer Kit. It is small in size, and the price is cheap as compared to the metal case for the NVIDIA Jetson Xavier NX Developer Kit.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe Jetson board is not included with the purchase of the \u003c\/span\u003e\u003cspan\u003eNVIDIA Jetson \u003c\/span\u003e\u003cspan\u003eXavier \u003c\/span\u003e\u003cspan\u003eCase.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eMaterial: PLA(Polylactide)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eColor: Available on demand\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eSize: 115mm * 90mm * 65mm (L * B * H)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCompatible with: NVIDIA Jetson Xavier NX Developer Kit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eSeparate cut out for ventilation fan\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCamera holder is available\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eDedicated space for SD and Micro card\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":33341936631894,"sku":"3D0007","price":1119.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/x1.jpg?v=1604984258"},{"product_id":"nvidia-jetson-nano-module-online","title":"NVIDIA Jetson Nano Module","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe power of modern AI is now available for makers, learners, and embedded developers everywhere. \u003c\/span\u003eJetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.\u003c\/p\u003e\n\u003cp\u003eGet started fast with the comprehensive\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eJetPack SDK\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ewith accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eJetson Nano Developer Kit\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eJetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Kit. \u003c\/strong\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eModule Technical Specifications\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eNVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 128 NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eQuad-core ARM\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 GB 64-bit LPDDR4\u003cbr\u003e1600MHz - 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e16 GB eMMC 5.1 Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCamera\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 98px;\"\u003eConnectivity\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eWi-Fi requires external chip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eHDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eUPHY\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eI\/O\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eSize\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 mm x 45 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e260-pin edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39512343609430,"sku":"SBC1101-MOD","price":18199.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-nano-module-standing-2c50-d.jpg?v=1629456435"},{"product_id":"nvidia-jetson-xavier-nx-som","title":"Nvidia Jetson Xavier NX SOM","description":"\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eCOMPACT, POWERFUL PERFORMANCE AT THE EDGE\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe World’s Smallest AI Supercomputer for Embedded and Edge Systems. Now with Cloud-Native Support.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eNVIDIA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eJetson Xavier\u003csup data-mce-fragment=\"1\"\u003e™\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eNX brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\"\u003eNVIDIA NGC\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eand the\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\" target=\"_blank\" data-mce-href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\"\u003eNVIDIA Transfer Learning Toolkit\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003egive you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.\u003c\/p\u003e\n\u003cp\u003eSmaller than a credit card (70x45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.\u003c\/p\u003e\n\u003cp\u003eJetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures\u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eXAVIER PERFORMANCE. NANO SIZE.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eAt 70 mm x 45 mm, Jetson Xavier NX packs the power of an NVIDIA Xavier SoC into a module the size of a\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\"\u003eJetson Nano\u003c\/a\u003e. This small module combines exceptional performance and power advantages with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance: \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePOWERFUL 21 TOPS AI PERFORMANCE\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eCores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 51GB\/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eINCREDIBLE POWER EFFICIENCY\u003c\/p\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"description color-black  body-text\"\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications\u003c\/h5\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e384-core NVIDIA Volta\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eGPU with 48 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e6-core NVIDIA Carmel ARM\u003csup\u003e®\u003c\/sup\u003ev8.2 64-bit CPU\u003cbr\u003e6MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e8 GB 128-bit LPDDR4x\u003cbr\u003e51.2GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10 W|15 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT\/s*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eUp to 6 cameras (24 via virtual channels)\u003cbr\u003e14 lanes (3x4 or 6x2) MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)\u003cbr\u003e2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2 multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x NVDLA Engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB","offer_id":39799560142934,"sku":"SBC1102-MOD8","price":63999.99,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":39799560175702,"sku":"SBC1102-MOD16","price":83449.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1.png?v=1629459334"},{"product_id":"nvidia-jetson-tx2-nx-online","title":"NVIDIA Jetson TX2 NX","description":"\u003cp\u003eNVIDIA® Jetson™ TX2 series modules give you exceptional speed and power efficiency in an embedded AI computing device. Each supercomputer-on-a-module brings true AI computing to the edge with an NVIDIA Pascal™ GPU, up to 8 GB of memory and 59.7 GB\/s of memory bandwidth, and a wide range of standard hardware interfaces.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It’s compact, power-efficient, and ideal for your next AI solution, from manufacturing and retail to agriculture and life sciences. Pre-trained AI models, Transfer Learning Toolkit, and the NVIDIA JetPack\u003c\/span\u003e\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e SDK help you get your best product to market—fast.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5\u003eFeatures\u003c\/h5\u003e\n\u003cp\u003eSIze\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMINIMIZE YOUR FOOTPRINT\u003c\/strong\u003e\u003cbr\u003eNow you can get exceptionally high compute, accuracy, and power efficiency in a module the size of a credit card. Its small 50 mm x 87 mm size enables real deep learning applications in small form-factor products like drones and more.\u003c\/p\u003e\n\u003cp\u003ePerformance \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMAXIMIZE YOUR PERFORMANCE\u003c\/strong\u003e\u003cbr\u003eExperience more than double the performance or twice the energy efficiency of Jetson TX1. It’s all made possible by Jetson TX2’s 256-core NVIDIA Pascal architecture and 8 GB memory for the fastest compute and inference.\u003c\/p\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOPTIMIZE YOUR POWER EFFICIENCY\u003c\/strong\u003e\u003cbr\u003eWith Jetson TX2, you can now run large, deep neural networks for higher accuracy on edge devices. At just 7.5 watts, it delivers 25X more energy efficiency than a state-of-the-art desktop-class CPU. This makes it ideal for real-time processing in applications where bandwidth and latency can be an issue. These include factory robots, commercial drones, enterprise collaboration devices, intelligent cameras for smart cities.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eA JETSON TX2 FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr\u003eThe extended Jetson TX2 family of embedded modules provides up to 2.5X the performance of Jetson Nano in as little as 7.5 W. Jetson TX2 NX offers pin and form-factor compatibility with Jetson Nano, while Jetson TX2, TX2 4GB, and TX2i all share the original Jetson TX2 form-factor. The rugged Jetson TX2i is ideal for settings including industrial robots and medical equipment.\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003ctable style=\"width: 474.625px;\" cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1.33 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eNVIDIA Pascal\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 256 NVIDIA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor complex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e4 GB 128-bit LPDDR4\u003cbr\u003e51.2 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e7.5W | 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 + 1 x2\u003cbr\u003ePCIe Gen2, total 30 GT\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eUp to 5 cameras (12 via virtual channels)\u003cbr\u003e12 lanes MIPI CSI-2 (3x4 or 5x2)\u003cbr\u003eD-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)\u003cbr\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.0\u003cbr\u003e1x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px; text-align: left;\" class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39516436791382,"sku":"SBC1103-NX","price":26199.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1_88553d47-d730-4de0-aad7-4a8a9dfe6b57.png?v=1629799470"},{"product_id":"nvidia-jetson-agx-xavier-module-online","title":"Nvidia Jetson AGX Xavier Module","description":"\u003cp data-mce-fragment=\"1\"\u003eNVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eThe Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA BREAKTHROUGH IN EMBEDDED APPLICATIONS\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAt just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1\/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTAKING PERFORMANCE TO THE EDGE\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAs the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I\/O in a compact form factor.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTHE POWER OF FLEXIBILITY\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA JETSON AGX XAVIER FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications \u003c\/h5\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\" style=\"width: 480.578px;\" data-mce-fragment=\"1\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eNVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores\u003cbr data-mce-fragment=\"1\"\u003e22 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e8-core NVIDIA Carmel Armv8.2 64-bit CPU\u003cbr data-mce-fragment=\"1\"\u003e8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x NVDLA\u003cbr data-mce-fragment=\"1\"\u003e10 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x 7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32GB 256-bit LPDDR4x\u003cbr data-mce-fragment=\"1\"\u003e136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eUp to 6 cameras (36 via virtual channels)\u003cbr data-mce-fragment=\"1\"\u003e16 lanes MIPI CSI-2, 8 lanes SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003eD-PHY 1.2 (up to 40Gbps)\u003cbr data-mce-fragment=\"1\"\u003eC-PHY 1.1 (up to 62Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e4x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e8x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e16x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e32x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x 8K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e6x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e12x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e26x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e52x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eUPHY\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e8x PCIe Gen4 | 8x SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003e3x USB 3.1\u003cbr data-mce-fragment=\"1\"\u003eSingle Lane UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eNetworking\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eDisplay\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eThree multi-mode DP 1.2a\/e DP 1.4\/HDMI 2.0 a\/b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eOther I\/O\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eUSB 2.0\u003cbr data-mce-fragment=\"1\"\u003eUART, SPI, CAN, I2C, I2S, DMIC \u0026amp; DSPK, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e10W | 15W | 30W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e100mm x 87mm\u003cbr data-mce-fragment=\"1\"\u003e699 pin Molex Mirror Mezz Connector\u003cbr data-mce-fragment=\"1\"\u003eIntegrated Thermal Transfer Plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":39794913149014,"sku":"SBC1104-32SOM","price":142949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-module-1ccw-d.png?v=1630335369"},{"product_id":"nvidia-jetson-agx-xavier-industrial-32gb-som-online","title":"NVIDIA JETSON AGX ORIN INDUSTRIAL (64GB) - 900-13701-0080-000","description":"\u003cp\u003ehe NVIDIA® Jetson AGX Orin™ Industrial module delivers up to 248 TOPs of AI performance for embedded industrial applications with power configurable between 15W and 75W. It’s form-factor and pin-compatible with Jetson AGX Orin, and gives you more than 8X the performance of Jetson AGX Xavier Industrial.\u003c\/p\u003e\n\u003cp\u003eThis system-on-module supports multiple concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. It comes with extended temperature range, operating lifetime, and shock and vibration specifications, as well as support for Error Correction Code (ECC) memory, making it ideal for industrial grade AI products. The module also includes security features such as hardware root of trust, secure boot, hardware accelerated cryptography, support for encrypted storage and memory, and other security features to protect your deployments.\u003c\/p\u003e\n\u003cp\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC™ catalog.\u003c\/p\u003e\n\u003cp\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003c\/p\u003e\n\u003cp\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003eFeatures:\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch4\u003e\n\u003cspan\u003eJetson AGX Orin Industrial Module (P3701)\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e2048-core NVIDIA Ampere architecture GPU with 64tensor cores\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0 \u0026gt;12-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU\u003c\/li\u003e\n\u003cli\u003e64GB 256-bit LPDDR5 (+ECC)\u0026gt;PVA v2.0\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\n\u003cspan\u003ePower\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eVoltage input: 5V, 7V-20V\u003c\/li\u003e\n\u003cli\u003eModule Power: 15W-75W\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eTechnical Specifications:\u003c\/h2\u003e\n\u003ctable style=\"width: 70%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e\n\u003cspan id=\"page1R_mcid104\" class=\"markedContent\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e275\u003c\/span\u003e\u003c\/span\u003e TOPS\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e2048 Core Ampere, with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eGPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e1 .2GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e1 2-core NVIDIA Armo Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e2GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2.o\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2.o\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB 256-bit LPDDR5 @ 3200MHz 204.8GB\/s (+ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePCIe\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e2 x8 + 1 x4 + 2 x1\u003cbr\u003e22 lanes PCIe Gen 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCSI Camera\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e16 lanes MIPI CSI-2 (16 virtual channels)\u003cbr\u003eD-PHY 2.1 40Gbps\/ C-PHY 2.0 164Gbps\u003cbr\u003e\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 15x 1080p30 (H.265)\u003cbr\u003eH.264, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 23x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eDisplay\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1 multi-mode (8K60, 2x 4K60) DP1.4a (+ MST)\/HDMI2.1\/eDP 1.4\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eNetworking\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1 Gbe | 1x 10GBE\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUSB\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 Gen 2 | 4x USB 2.0\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eOther IOS\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e4x UART 3x SPI | 4x I2S | 8x I2C | 2X CAN | PWM | DMIC | DSPK | GPIOs\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePower\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e15W-75W\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMechanical\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e100mm x 87mm\u003cbr\u003e699-pin connector\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMechanical Shock\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e50G Operational\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVibration\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e5G Operational\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e-40°C to 85°C at the TTP Surface\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature Endurance\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e-40°C to 85°C\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature Humidity Biased\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e85°C\/85% RH\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUnderfill\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003eSoC corner bonding \u0026amp; component underfill\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eECC\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003eDRAM ECC supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39522915319894,"sku":"SBC1104-MODi","price":360449.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/900-13701-0080-000-4T.jpg?v=1740878199"},{"product_id":"waveshare-imx219-160ir-8mp-camera-with-160-fov-online","title":"Waveshare IMX219-160IR 8MP Camera with 160° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eIMX219-160IR Camera, Applicable For Jetson Nano, 8 Megapixels, Infrared Night Vision, 160° FOV\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003eThis is an 8-megapixel camera with a FOV (field-of-view) of 160 degrees, which is suitable to use with the \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano?_pos=3\u0026amp;_psq=jetson+nano\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=33399250681942\" title=\"Jetson Nano Dev Kits\"\u003eNVIDIA Jetson Nano\u003c\/a\u003e and \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-agx-xavier?_pos=5\u0026amp;_sid=f20e09a6c\u0026amp;_ss=r\" title=\"Jetson Xavier AGX Dev Kits\"\u003eNVIDIA Jetson Xavier NX\u003c\/a\u003e Development Kits. It also has two IR LEDs to enable night vision capabilities.\u003c\/p\u003e\n\u003ch2\u003eFeatures \u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSupports CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003eSupports night vision when works with infrared LEDs\u003c\/li\u003e\n\u003cli\u003e8 Megapixels \u003c\/li\u003e\n\u003cli\u003eSensor: IMX219 \u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.35\u003c\/li\u003e\n\u003cli\u003eFocal Length: 3.15mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 160 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt;14.3%\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003cli\u003eSupports connecting infrared LED and\/or fill flash LED\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 25mm × 24mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThis is an 8-megapixel camera with a FOV (field-of-view) of 160 degrees, which is suitable to use with the \u003cspan\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\" target=\"_blank\"\u003eNVIDIA Jetson Nano\u003c\/a\u003e\u003c\/span\u003e and \u003cspan\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Developer-Kit-p-4573.html\" target=\"_blank\"\u003eNVIDIA Jetson Xavier NX\u003c\/a\u003e\u003c\/span\u003e Development Kits. It also has two IR LEDs to enable night vision capabilities.\u003c\/p\u003e\n\u003cp\u003eBy using this camera, combined with a Jetson Nano\/ Xavier NX Development Kits, you can simply realize machine vision projects. Also, you can experience better quality video capture from this camera and build more demanding projects!\u003c\/p\u003e\n\u003ch3\u003eHow is it possible to see in the dark?\u003c\/h3\u003e\n\u003cp\u003eThis camera is able to view in the dark with black and white-colored video footage. The two IR LEDs on either side of the camera emit infrared light which is invisible to the naked eye and the camera is sensitive to this light. Then the camera is able to pick up this light and thereby we can see black and white color video footage from the camera.\u003c\/p\u003e\n\u003ch3\u003eMore cameras compatible with NVIDIA Jetson Nano\/ Xavier NX Development Kits\u003c\/h3\u003e\n\u003cp\u003eWe would like to give you more freedom in choosing the camera that will be most suitable for your project. So, explore the table below to know about more cameras and make a better decision.\u003c\/p\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2\u003eDevelopment Resources\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-160IR_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-160IR_Camera\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera Module with driver board\u003c\/h3\u003e\n\u003ctable data-style=\"undefined;table-layout: fixed; width: 495px;\" class=\"tg\"\u003e\n\u003ccolgroup\u003e \u003ccol data-style=\"width: 228px;\"\u003e \u003ccol data-style=\"width: 267px;\"\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-u1yq\"\u003eSpecification\u003c\/th\u003e\n\u003cth class=\"tg-u1yq\"\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMegapixels\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003ePhotosensitive chip\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eAssembly Technique\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eResolution\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eCMOS size\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1\/4 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eAperture (F)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e2.35\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eFocus\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003efixed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens Construction\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e6G+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDiagonal field of view (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e160 degrees\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDistortion\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eEFL\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eBFL (Optical)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMaximum Image Transfer Rate\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30 fps for QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOutput formats\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8\/10bit RGB RAW output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eS\/N Ratio\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDynamic Range\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eSensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eRelative Illumination (Sensor)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eIR Filter\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eObject Distance\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eInterface\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003ePower supply\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.3V (pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e-20°C to 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eTemperature (Stable Image)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e0°C to 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens size\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eModule Size\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e25mm × 24mm ×17.7±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eCertifications\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eFCC and CE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eIR LED Modules\u003c\/h3\u003e\n\u003ctable data-style=\"undefined;table-layout: fixed; width: 495px;\" class=\"tg\"\u003e\n\u003ccolgroup\u003e \u003ccol data-style=\"width: 228px;\"\u003e \u003ccol data-style=\"width: 267px;\"\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-k7ar\"\u003eSpecification\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eLED Wavelength\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e845nm-855nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eLED Module FOV\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e100°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eWorking current\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e200ma (max 450ma)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003ePower consumption\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e660mw (max 1.48W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eModule Size\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e27.94mm ×19.82mm ×15.05mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e-20°C to 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eStorage Temperature\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e0°C to 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-wp8o\"\u003eAssembly technique\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2\u003eParts List\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x IMX219-160IR 8MP IR Night Vision Camera with 160° FOV - Compatible with NVIDIA Jetson Nano\/ Xavier NX\u003c\/li\u003e\n\u003cli\u003e2 x IR LED Modules\u003c\/li\u003e\n\u003cli\u003e4 x Screws\u003c\/li\u003e\n\u003cli\u003e4 x Nuts\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39533589692502,"sku":"WVSH0345","price":2749.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/160_ir_1.png?v=1631118414"},{"product_id":"jetson-nano-pwm-cooling-fan-online","title":"Jetson Nano 4020 Cooling Fan 5V, 4PIN Reverse-Proof","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eJetson Nano 5V PWM Cooling fan with \u003c\/span\u003e\u003cspan data-mce-fragment=\"1\"\u003e4PIN reverse-proof connector.\u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eColour: Black \u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eMaterial: Plastic\u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eSize: 40x40x20mm\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39533601882198,"sku":"WVSH0347","price":349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/H9f03d70087ef41aebe852e0c357b3e9aS.jpg?v=1631119578"},{"product_id":"waveshare-imx477-160-12-3mp-camera-160-fov","title":"Waveshare IMX477-160 12.3MP Camera 160° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eIMX477-160 12.3MP Camera, 160° FOV, Applicable For Jetson Nano \/ Compute Module\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eMIPI-CSI Camera, based on Sony IMX477 sensor, 1230M pixels. Supports Raspberry Pi Compute Module series and Jetson Nano developer Kit. Suitable for AI applications such as license plate number recognition, and facial gesture recognition. \u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX477-160-12.3MP-Camera\/IMX477-160-12.3MP-Camera-details-1.jpg\"\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\n\u003ch3 class=\"richTitle\" data-mce-fragment=\"1\"\u003eSpecifications\u003c\/h3\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignl\" data-mce-fragment=\"1\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth rowspan=\"4\" data-mce-fragment=\"1\"\u003eSENSOR\u003c\/th\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eModel\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eIMX477\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eResolution\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e12.3MP, 4056 × 3040\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eCMOS diagonal length\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e7.9mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003epixel size\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e1.55µm (H) × 1.55µm (V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth rowspan=\"4\" data-mce-fragment=\"1\"\u003eCAMERA\u003c\/th\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eAperture (F)\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e2.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eFocal length (BFL)\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e2.75\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e160°(D) 118°(H) 87°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd data-mce-fragment=\"1\"\u003eDistortion \u003c\/td\u003e\n\u003ctd data-mce-fragment=\"1\"\u003e\u0026lt;16%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth data-mce-fragment=\"1\"\u003eOPERATING VOLTAGE\u003c\/th\u003e\n\u003ctd colspan=\"2\" data-mce-fragment=\"1\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth data-mce-fragment=\"1\"\u003eAPPLICATIONS\u003c\/th\u003e\n\u003ctd colspan=\"2\" data-mce-fragment=\"1\"\u003esuitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"richTitle\" data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\" data-mce-fragment=\"1\"\u003eWorking With Jetson Nano\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\" data-mce-fragment=\"1\"\u003eJetson Nano Developer Kit B01 (Left) And Jetson Nano 2GB Developer Kit (Right)\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX477-160-12.3MP-Camera\/IMX477-160-12.3MP-Camera-details-5.jpg\" style=\"float: none;\" data-mce-fragment=\"1\"\u003e\n\u003cp class=\"alignl subBlock note\" data-mce-fragment=\"1\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e*Jetson Nano is NOT included, and specific driver is required for the Jetson Nano to use the IMX477 camera module.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\" data-mce-fragment=\"1\"\u003eWorking With Raspberry Pi Compute Module\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\" data-mce-fragment=\"1\"\u003eCompute Module 4 + IO Board (Left) And Compute Module 3 + IO Board (Right)\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX477-160-12.3MP-Camera\/IMX477-160-12.3MP-Camera-details-3.jpg\" style=\"float: none;\" data-mce-fragment=\"1\"\u003e\n\u003cp class=\"alignl subBlock note\" data-mce-fragment=\"1\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e*CM4, CM3, IO Board, and the \u003ca style=\"color: #ff2a00;\" href=\"https:\/\/www.waveshare.com\/raspberry-pi-zero-v1.3-camera-cable.htm\" data-mce-fragment=\"1\" target=\"_blank\"\u003eyellow FFC\u003c\/a\u003e are NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\" data-mce-fragment=\"1\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX477-160-12.3MP-Camera\/IMX477-160-12.3MP-Camera-details-size.jpg\" style=\"float: none;\" data-mce-fragment=\"1\"\u003e\n\u003c\/div\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\n\u003ch3 class=\"richTitle\" data-mce-fragment=\"1\"\u003eResources\u003c\/h3\u003e\n\u003cstrong data-mce-fragment=\"1\"\u003eWiki:\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/IMX477-160_12.3MP_Camera\" data-mce-fragment=\"1\" target=\"_blank\"\u003eIMX477-160_12.3MP_Camera\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39533607256150,"sku":"WVSH0348","price":8449.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/H3683a4868aba4ffa9f039c9733f8eda8c.jpg?v=1631119910"},{"product_id":"jetbot-ai-robot-with-3-dof-hd-camera-for-jetson-nano-online","title":"Jetbot AI robot with 3 DOF HD camera for NVIDIA Jetson NANO","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eJetbot is a multi-functional AI smart robot car based on NVIDIA JETSON NANO 4GB(A02\/B01) that responds quickly to a variety of Al visual gameplay. The vehicle is made of green aluminum alloy, coupled with a unique mechanical structure that makes it different in appearance from other cars. Equipped with 3-degrees of freedom lifting platform and 8 million HD camera, which can real-time view surrounding scenes. And it can accomplish Automatic Avoiding, Object Tracking, Color Recognition \/ Tracking, detecting desktop edge to anti-drop, etc. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eYou can also train a variety of different runway models and control JetBot to complete the autopilot function. Programmable RGB strips are also designed on both sides to light up high-brightness colorful light in dark environments. Users can remotely control it by APP or Handle, and we will provide a lot of reference tutorials for users.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003eBased on NVIDIA JETSON NANO 4GB(A02\/B01), learning AI Smart Technology in deep. \u003cspan style=\"color: #ff2a00;\"\u003eJetson NANO Dev Kit is optional.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eA technological outlook and unique mechanical structure that can be easily assembled.\u003c\/li\u003e\n\u003cli\u003e3-degrees of freedom lifting platform and 8 million HD camera, real-time video transmission.\u003c\/li\u003e\n\u003cli\u003eIt can realize functions such as Autopilot, Object Tracking, Face Recognition, Color Tracking, Edge Detection and Automatic Avoiding.\u003c\/li\u003e\n\u003cli\u003eHigh-brightness RGB light strips.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H4b288b84febe4191a5edf2e5ad34a7ebb_1024x1024.jpg?v=1633327231\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/Jetbot_2_1024x1024.jpg?v=1573561720\" alt=\"\" data-mce-fragment=\"1\" data-mce-src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/Jetbot_2_1024x1024.jpg?v=1573561720\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H0418068f15824367a463610e1c657c91M_1024x1024.jpg?v=1633327543\" alt=\"\" data-mce-fragment=\"1\" data-mce-src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H0418068f15824367a463610e1c657c91M_1024x1024.jpg?v=1633327543\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/Jetbot__04_2048x2048.jpg?v=1645413736\" alt=\"\" data-mce-src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/Jetbot__04_2048x2048.jpg?v=1645413736\" data-mce-fragment=\"1\"\u003e\u003c\/p\u003e\n\u003ch3\u003eResources and tutorials can be found \u003ca href=\"http:\/\/www.yahboom.net\/study\/JETBOT\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ehere\u003c\/a\u003e.\u003c\/h3\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Ha108432422044353915404012c4a52c18_1024x1024.jpg?v=1633326451\"\u003e\u003c\/p\u003e\n\u003ch3\u003eInclusions:\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/Jetbot__25_2048x2048.jpg?v=1646643692\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Yahboom","offers":[{"title":"Standard \/ Without Jetson Nano","offer_id":39684433477718,"sku":"RBC1020St","price":26999.99,"currency_code":"INR","in_stock":false},{"title":"Standard \/ With Jetson Nano 4GB B01","offer_id":39684433510486,"sku":"RBC1020St+SBC2067","price":48219.99,"currency_code":"INR","in_stock":false},{"title":"Advanced \/ Without Jetson Nano","offer_id":44272453583165,"sku":"RBC1020Ad","price":31699.99,"currency_code":"INR","in_stock":false},{"title":"Advanced \/ With Jetson Nano 4GB B01","offer_id":44272453615933,"sku":"RBC1020Ad-SBC2067","price":53220.05,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/71gtWzPvDlL._AC_SL1300.jpg?v=1633327181"},{"product_id":"jetracer-pro-high-speed-ai-racing-robot-kit-online","title":"JetRacer Pro High Speed AI Racing Robot Kit","description":"\u003ch2 style=\"text-align: center;\" class=\"overviewSec\"\u003eFaster, Stronger, JetRacer Pro! — High Speed AI Racing Robot Kit\u003c\/h2\u003e\n\u003cp\u003eThis is an AI Racing Robot kit based on Jetson Nano 2GB Developer Kit. Supports deep learning, auto line following, autonomous driving, and so on.\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JetRacer_Pro_2GB_AI_Kit\" target=\"_blank\"\u003eJetRacer_Pro_AI_Kit\u003c\/a\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetRacer-Pro-2GB-AI-Kit-details-1.jpg?v=1665269960\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cem\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNote: NVIDIA Jetson Nano has been officially announced as End-of-Life (EOL) starting January 2026. Long-term availability, future software updates, and extended support will be limited.\u003c\/span\u003e\u003c\/em\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\n\u003cem\u003e\u003c\/em\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eHigh Performance Autonomous AI Racing Car\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc hilitColor\"\u003eHigher Performance Chassis, Faster Racing Speed\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eInteractive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Faster Autonomous Selft Driving\u003c\/p\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-5.jpg\"\u003e\n\u003ch2 class=\"richDesc\"\u003eSuitable For High School AI Teaching \/ Professional Racing\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch4 class=\"richTitle\"\u003eDonkeyCar Open Source Project - Deep Learning Self Driving Car\u003c\/h4\u003e\n\u003cp class=\"richDesc\"\u003eJetRacer Pro 2GB AI Kit Also Supports DonkeyCar Open Source Project. DonkeyCar Utilizes Deep Learning Neural Network Framework Keras\/TensorFlow, Together With Computer Vision Library OpenCV, To Achieve Self Driving.\u003c\/p\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eDeep Learning, Autonomous Driving\u003c\/h2\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eIntroduction\u003c\/h2\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eChassis Structure\u003c\/h2\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-13.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eJetRacer Pro Expansion Board\u003cspan\u003e \u003c\/span\u003e\u003cspan class=\"hilitBlock\"\u003eHighly Integrated\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eRechargeable, Battery Voltage Monitor, No Messy Wiring, Simple Assembly\u003c\/p\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-15.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e8MP 160° FOV Camera\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\"\u003eIMX219 High Quality Sensor, 3280×2464 Resolution\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-17.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eUSB Wireless NIC\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\"\u003eHigh Speed WiFi, Stable Connection, Low Latency\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-19.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eMultiple Teleoperation Method\u003c\/h2\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eExtra Free Track Map\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003eDelivered With 3m×2m Large Size Track Map For Your Convenience\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-23.jpg\"\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eNVIDIA Official Partner\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\"\u003eAs An NVIDIA Official Authorized Partner, Waveshare Is Capable Of Providing Genuine Products And Reliable Tech Support\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Nano-Developer-Kit-B01\/Jetson-Nano-Developer-Kit-partner_960.jpg\"\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2 style=\"text-align: left;\"\u003ePackage Contains:\u003c\/h2\u003e\n\u003col\u003e\n\u003cli style=\"text-align: left;\"\u003e1x \u003cspan style=\"color: #b90811;\"\u003eOptional ThinkRobotics Jetson Nano 4GB B01 Developer Kit \u0026amp; TF Card 64GB\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x On-road chassis\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x JetRacer Pro expansion board\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x USB wireless NIC\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Camera holder\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Wireless gamepad\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Cooling fan\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x 6Pin cable\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Micro SD card reader\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Spanner\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Screwdriver x2\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x 8.4V 2A battery charger + EU head\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Screws pack\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Track map\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-pack.jpg\"\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cem\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNote: NVIDIA Jetson Nano has been officially announced as End-of-Life (EOL) starting January 2026. 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The fan can be automatically controlled by the Jetson Nano system and the fan rotation can be controlled through the FAN J15 pin.\u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/div\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eProduct Features\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eSuper thin and light\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eGood heat dissipation\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003ePWM adjustable fan speed\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eAluminum alloy cooling fins\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003c\/div\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003ePackage Includes\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\n\u003cspan data-mce-fragment=\"1\"\u003e1 x Jetson Nano Heat\u003c\/span\u003eSink with Fan\u003c\/div\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003cdiv data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e1 x Hexgon wrench\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eMounting Clips\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H4ccd251feff745a0ba0839e633c35c451_600x600.jpg?v=1631382777\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H41464c980d28459b894ef69f316e7da6d_600x600.jpg?v=1631382771\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39536630104150,"sku":"SBC2046","price":1599.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/He6ce825de0a548f1ba7987f9f0d2c5d84.jpg?v=1631383635"},{"product_id":"waveshare-sim7600g-h-4g-for-jetson-nano-online","title":"Waveshare SIM7600G-H 4G for Jetson Nano","description":"\u003ch3 style=\"text-align: center;\"\u003e4G\/3G\/2G\/GNSS Expansion Board For Jetson Nano, Based On SIM7600G-H, Global\u003c\/h3\u003e\n\u003cp\u003eThis is a 4G\/3G\/2G communication and GNSS positioning module designed for Jetson Nano, it supports global LTE CAT4 up to 150Mbps for downlink data transfer, with pretty low power consumption.\u003c\/p\u003e\n\u003cp\u003eJust attach it onto the Jetson Nano Developer Kit, easily enable functions like 4G high speed connection, wireless communication, remote video monitoring, making telephone call, sending SMS, global positioning, and so on.\u003c\/p\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e40PIN GPIO extension header for connecting Jetson Nano\u003c\/li\u003e\n\u003cli\u003eSupports dial-up, telephone call, SMS, mail, TCP, UDP, DTMF, HTTP, FTP, etc.\u003c\/li\u003e\n\u003cli\u003eSupports GPS, BeiDou, Glonass, LBS base station positioning\u003c\/li\u003e\n\u003cli\u003eOnboard USB interface, to test AT Commands, get GPS positioning data, and so on\u003c\/li\u003e\n\u003cli\u003eBreakout UART control pins, to connect with host boards like Arduino\/STM32\u003c\/li\u003e\n\u003cli\u003eSIM card slot, supports 1.8V\/3V SIM card\u003c\/li\u003e\n\u003cli\u003eOnboard 3.5mm audio jack with earphone and mic support, for making telephone call\u003c\/li\u003e\n\u003cli\u003e2x LED indicators, easy to monitor the working status\u003c\/li\u003e\n\u003cli\u003eOnboard voltage translator, operating voltage can be configured to 3.3V or 5V via jumper\u003c\/li\u003e\n\u003cli\u003eBaudrate: 300bps ~ 4Mbps (default: 115200bps)\u003c\/li\u003e\n\u003cli\u003eAutobauding baudrate: 9600bps ~ 115200bps\u003c\/li\u003e\n\u003cli\u003eControl via AT commands (3GPP TS 27.007, 27.005, and V.25TER command set)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSupports SIM application toolkit: SAT Class 3, GSM 11.14 Release 99, USAT\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComes with development resources and manual (examples for Jetson Nano\/Raspberry Pi\/Arduino\/STM32)\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eCommunications Specifications\u003c\/h3\u003e\n\u003ctable class=\"tabSty-1 tabSty-noalter tabSty-td-border\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e　\u003c\/th\u003e\n\u003cth\u003eLTE\u003c\/th\u003e\n\u003cth\u003eWCDMA \/ TD-SCDMA \/ CDMA 2000\u003c\/th\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003eEDGE\u003c\/th\u003e\n\u003cth\u003eGSM\/GPRS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBand\u003c\/td\u003e\n\u003ctd\u003eLTE-TDD B34\/B38\/B39\/B40\/B41\u003cbr\u003eLTE-FDD B1\/B2\/B3\/B4\/B5\/B7\/B8\u003cbr\u003e\/B12\/B13\/B18\/B19\/B20\/B25\/B26\/B28\/B66\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eUMTS\/HSDPA\/HSPA+ B1\/B2\/B4\/B5\/B6\/B8\/B19\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eGSM\/GPRS\/EDGE 850\/900\/1800\/1900MH\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEmitting power\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e0.25W\u003c\/td\u003e\n\u003ctd\u003e0.5W@EGSM900\u003cbr\u003e0.4W@DCS1800\u003c\/td\u003e\n\u003ctd\u003e2W@GSM900\u003cbr\u003e1W@DCS1800\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData Speed\u003c\/td\u003e\n\u003ctd\u003eLTE CAT 4\u003cbr\u003eUplink≤50 Mbps\u003cbr\u003eDownlink≤150 Mbps \u003c\/td\u003e\n\u003ctd\u003eUMTS\u003cbr\u003eUplink≤384Kbps\u003cbr\u003eDownlink≤384Kbps\u003cbr\u003e\u003cbr\u003eHSPA+\u003cbr\u003eUplink≤5.76Mbps\u003cbr\u003eDownlink≤42Mbps\u003c\/td\u003e\n\u003ctd\u003eTD-SCDMA\u003cbr\u003eUplink≤128Kbps\u003cbr\u003eDownlink≤384Kbps\u003cbr\u003e\u003cbr\u003eTD-HSDPA\/HSUPA\u003cbr\u003eUplink≤2.2Mbps\u003cbr\u003eDownlink≤2.8Mbps\u003c\/td\u003e\n\u003ctd\u003eCDMA2000\/EVDO\u003cbr\u003eUplink≤1.8Mbps\u003cbr\u003eDownlink≤3.1Mbps\u003c\/td\u003e\n\u003ctd\u003eEDGE\u003cbr\u003eUplink≤236.8kbps\u003cbr\u003eDownlink≤236.8kbps\u003c\/td\u003e\n\u003ctd\u003eGPRS\u003cbr\u003eUplink≤85.6kbps\u003cbr\u003eDownlink≤85.6kbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSIM Card\u003c\/td\u003e\n\u003ctd colspan=\"6\"\u003eNormal SIM (Not Included) \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplicable Region\u003c\/td\u003e\n\u003ctd colspan=\"6\"\u003eGlobal 4G\/3G\/2G \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch3\u003eGNSS Specifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eReceiver type\n\u003cul\u003e\n\u003cli\u003e16-channel\u003c\/li\u003e\n\u003cli\u003eC\/A code\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eSensitivity\n\u003cul\u003e\n\u003cli\u003eTracking: -159 dBm (GPS) \/ -158 dBm (GLONASS) \/ TBD (BD)\u003c\/li\u003e\n\u003cli\u003eCold starts: -148 dBm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eTime-To-First-Fix (open air)\n\u003cul\u003e\n\u003cli\u003eCold starts: \u0026lt;35s\u003c\/li\u003e\n\u003cli\u003eHot starts: \u0026lt;1s\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eAccuracy\n\u003cul\u003e\n\u003cli\u003ePosition: \u0026lt;2.5m CEP\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eSMS and Audio Specifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSMS\n\u003cul\u003e\n\u003cli\u003eSupported types: MT, MO, CB, Text, PDU\u003c\/li\u003e\n\u003cli\u003eStorage: USIM card and ME (default)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eAudio feature\n\u003cul\u003e\n\u003cli\u003eSupports echo cancellation\u003c\/li\u003e\n\u003cli\u003eSupports noise reduction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eOther Specifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003ePower supply: 5V\u003c\/li\u003e\n\u003cli\u003eOperating voltage: 5V\/3.3V (configured via jumper)\u003c\/li\u003e\n\u003cli\u003eOperating temperature: -30°C ~ 80°C\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eStorage temperature: -45°C ~ 90°C\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's on Board\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM7600G-H-4G-for-Jetson-Nano\/SIM7600G-H-4G-for-Jetson-Nano-intro.jpg\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eSIM7600G-H\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eNAU8810 audio decoder\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTXS0108EPWR voltage translator:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003etranslates 3.3V\/5V into 1.8V\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eMP1482 power chip\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRT9193-33 voltage translator:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003etranslates 5V into 3.3V\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40PIN GPIO header:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor connecting with Jetson Nano Developer Kit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSIM card slot:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esupports 1.8V\/3V SIM card\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB interface:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor testing AT Commands, getting GPS positioning data, etc.\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e3.5mm earphone\/mic jack\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eMAIN antenna connector\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eAUX antenna connector\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eGNSS antenna connector\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eNetwork status indicator\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePower indicator\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUART enable switch:\u003c\/strong\u003e\u003cbr\u003eON: connect UART ports of SIM7600 and Jetson Nano\u003cbr\u003eOFF: disconnect UART ports of SIM7600 and Jetson Nano\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating voltage selection jumper:\u003c\/strong\u003e\u003cbr\u003eVCC - 3.3V: set operating voltage as 3.3V\u003cbr\u003eVCC - 5V: set operating voltage as 5V\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePWR control config:\u003c\/strong\u003e\u003cbr\u003ePWR - 5V: SIM7600 auto startup on power up\u003cbr\u003ePWR - D6: SIM7600 will be turned on\/off by D6 pin of Jetson Nano\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eDimensions\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM7600G-H-4G-for-Jetson-Nano\/SIM7600G-H-4G-for-Jetson-Nano-size.jpg\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eResources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki : \u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/SIM7600G-H_4G_for_Jetson_Nano\" target=\"_blank\"\u003eSIM7600G-H_4G_for_Jetson_Nano\u003c\/a\u003e\u003c\/p\u003e\n\u003cp class=\"note\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNote: Jetson Nano is NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 class=\"note\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003ePackage Contains:\u003c\/span\u003e\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003eSIM7600G-H 4G for Jetson Nano x1\u003c\/li\u003e\n\u003cli\u003eLTE Antenna x1\u003c\/li\u003e\n\u003cli\u003eGPS External Antenna (B) x1\u003c\/li\u003e\n\u003cli\u003eJetson Nano USB Adapter x1\u003c\/li\u003e\n\u003cli\u003eUSB Cable ~1.2m x1\u003c\/li\u003e\n\u003cli\u003eScrews pack (2pcs) x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"imgTextWrap\"\u003e\n\u003cdiv\u003e\n\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM7600G-H-4G-for-Jetson-Nano\/SIM7600G-H-4G-for-Jetson-Nano-1.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM7600G-H-4G-for-Jetson-Nano\/SIM7600G-H-4G-for-Jetson-Nano-1_93.jpg\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/LTE-Antenna.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/LTE-Antenna_93.jpg\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/GPS-External-Antenna-B.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/GPS-External-Antenna-B_93.jpg\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/Jetson-Nano-USB-Adapter.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/Jetson-Nano-USB-Adapter_93.jpg\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/USB-micro.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/USB-micro_93.jpg\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/Jetson-Nano-Ex-Screws.jpg\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/Jetson-Nano-Ex-Screws_93.jpg\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39536634396758,"sku":"WVSH0349","price":10449.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/sim7600g-h-4g-for-jetson-nano-1_1.jpg?v=1665352235"},{"product_id":"3-ch-relay-expansion-board-for-jetson-nano","title":"3-Ch Relay Expansion Board for Jetson Nano","description":"\u003ch3 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"UTF-8\"\u003e3-Ch Relay Expansion Board for Jetson Nano, Configurable Control Pin \u0026amp; Up to 2X Stackable\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eStandard 40PIN GPIO header, directly pluggable onto the Jetson Nano\u003c\/li\u003e\n\u003cli\u003eIncorporate quality relay component, max load: ≤5A 250V AC or ≤5A 30V DC\u003c\/li\u003e\n\u003cli\u003eOptocoupler isolation, prevent interference from the high voltage circuitry\u003c\/li\u003e\n\u003cli\u003eIndicators for monitoring the relay operating status;Control pins of relays are configurable via jumpers\u003c\/li\u003e\n\u003cli\u003eAcrylic bottom panel, isolating the Jetson Nano from the relay expansion board\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contents:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e1x 3-Ch Relay Expansion Board\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: Jetson Nano is not included.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H31286c9d1d37419a89d57e0d86b2532e4_600x600.jpg?v=1631386217\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H14e6d2d6f6314aeab2ce6ef3063f05c0y_600x600.jpg?v=1631386256\"\u003e\u003c\/div\u003e\n\u003ch3 style=\"text-align: left;\"\u003eResources \u003c\/h3\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/3-CH_Relay_for_Jetson_Nano\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e3-CH_Relay_for_Jetson_Nano \u003c\/a\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39536638918742,"sku":"WVSH0350","price":1599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/H5d97bf3b72314025bf17181be2a86c03w.jpg?v=1715896013"},{"product_id":"metal-case-c-for-jetson-nano-dev-kit-online","title":"Metal Case (C) for Jetson Nano Dev Kit","description":"\u003ch3\u003eFeatures:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eReset \u0026amp; Power button\u003c\/li\u003e\n\u003cli\u003eMounting Holes For Single Camera Or Binocular Camera, Up To 180° Roll Angle\u003c\/li\u003e\n\u003cli\u003eBoth Of The Original Version And B01 Version Are Supported\u003c\/li\u003e\n\u003cli\u003eAllows Installing 4G Module Inside\u003c\/li\u003e\n\u003cli\u003eCut-Outs For GPIO Header, TF Card, And Peripheral Ports\u003c\/li\u003e\n\u003cli\u003eAssembly and usage Information on the \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Nano_Case_(C)\" target=\"_blank\"\u003eWiki Page\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eWeight: 0.55 kg \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contents:\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eBody case (top and bottom) \u003c\/li\u003e\n\u003cli\u003eCamera holder bottom mount\u003c\/li\u003e\n\u003cli\u003eCamera holder top mount\u003c\/li\u003e\n\u003cli\u003eJetson Nano adapter board\u003c\/li\u003e\n\u003cli\u003eMicro SD card adapter board\u003c\/li\u003e\n\u003cli\u003eFlat ribbon cable 2*20PIN\u003c\/li\u003e\n\u003cli\u003eSpanner \u003c\/li\u003e\n\u003cli\u003eScrewdriver\u003c\/li\u003e\n\u003cli\u003eButton with 2PIN wires\u003c\/li\u003e\n\u003cli\u003eButton with 4PIN wires\u003c\/li\u003e\n\u003cli\u003eScrews pack\u003c\/li\u003e\n\u003cli\u003eJumper\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Jetson-case-c-wiki-0_600x600.png?v=1631434773\" alt=\"\"\u003e\u003c\/p\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39536648945750,"sku":"WVSH0351","price":1399.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/714jWUkMujL._AC_SL1500.jpg?v=1631387967"},{"product_id":"orico-nvme-m-2-ngff-ssd-enclosure-online","title":"ORICO NVME M.2 NGFF SSD Enclosure","description":"\u003ch2 style=\"text-align: center;\"\u003eORICO NVME M.2 NGFF SSD Enclosures with 5Gbps, 10Gbps and 20Gbps Transfer Speeds\u003c\/h2\u003e\n\u003cp\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: M.2 SSD is NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eVariant 1. M2PVC3-G20 USB3.2 M.2 SSD Enclosure NVMe 20GPS\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSilent cooling fan speeds up to assist in hard drive cooling\u003c\/li\u003e\n\u003cli\u003eASM2364 control chip allows transmission rate to reach 20Gbps\u003c\/li\u003e\n\u003cli\u003eUSB3.2 GEN2*2 Type-C external interface, which can support up to 2000MB\/S.\u003c\/li\u003e\n\u003cli\u003eCompatible with 4 different specifications of M.2 NVME SSD solid state drives: 2230, 2242, 2260, and 2280\u003c\/li\u003e\n\u003cli\u003eModel: M2PVC3-G20\u003c\/li\u003e\n\u003cli\u003eColour: Black\u003c\/li\u003e\n\u003cli\u003eMaterial: Aluminum Alloy + ABS\u003c\/li\u003e\n\u003cli\u003eOutput Interface: USB3.2 GEN2 X 2 Type-C\u003c\/li\u003e\n\u003cli\u003eTransmission Rate: 20Gbps\u003c\/li\u003e\n\u003cli\u003eData Cable: \u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C To Type-C: 15cm\/5.91\"\u003c\/li\u003e\n\u003cli\u003eUSB Type-A To Type-C: 15cm\/5.91\"\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eSupport Capacity: Up To 2TB\u003c\/li\u003e\n\u003cli\u003eInstallation Method: Fixed With Lock Screw\u003c\/li\u003e\n\u003cli\u003eSupport System: for Windows\/Mac OS\/Linux\u003c\/li\u003e\n\u003cli\u003eProduct Size: 115 X 39.5 X 22.5mm\/4.53 X 1.56 X 0.89\"\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\n\u003cbr\u003eVariant 2. TCM2M-C3 M.2 DUAL NVMe + NGFF SSD Enclosure (10Gbps)\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSupports NGFF and NVMe protocols\u003c\/li\u003e\n\u003cli\u003eCompatible with 4 different specifications of M.2 NVME or NGFF solid state drives: 2230, 2242, 2260, and 2280\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eModel: TCM2M-C3\u003c\/li\u003e\n\u003cli\u003eColour: Transparent\u003c\/li\u003e\n\u003cli\u003eMaterial: Aluminum Alloy + PC\u003c\/li\u003e\n\u003cli\u003eOutput Interface: USB3.1 GEN2 Type-C\u003c\/li\u003e\n\u003cli\u003eTransmission Rate: 10Gbps\u003c\/li\u003e\n\u003cli\u003eSupport Capacity: Up To 2TB\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInstallation Method: Fixed With Lock Screw\u003c\/li\u003e\n\u003cli\u003eSupport System: for Windows\/Mac OS\/Linux\u003c\/li\u003e\n\u003cli\u003eProduct Size: 108mm X 34mm X 11.5mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eVariant 3. M2PV-C3 M.2 NVMe SSD Enclosure (10Gbps)\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSupports M.2 NVMe protocols\u003c\/li\u003e\n\u003cli\u003eCompatible with 4 different specifications of M.2 NVME or NGFF solid state drives: 2230, 2242, 2260, and 2280\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eModel: M2PV-C3\u003c\/li\u003e\n\u003cli\u003eColour: Black\u003c\/li\u003e\n\u003cli\u003eMaterial: Aluminum Alloy + PC\u003c\/li\u003e\n\u003cli\u003eOutput Interface: USB3.1 GEN2 Type-C\u003c\/li\u003e\n\u003cli\u003eTransmission Rate: 10Gbps\u003c\/li\u003e\n\u003cli\u003eSupport Capacity: Up To 2TB\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInstallation Method: Fixed With Lock Screw\u003c\/li\u003e\n\u003cli\u003eSupport System: for Windows\/Mac OS\/Linux\u003c\/li\u003e\n\u003cli\u003eProduct Size: 108mm X 29mm X 13.5mm\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePackage Content:\u003c\/strong\u003e SSD Enclosure, Screwdriver, Silicone Thermal Pad, Data Cable, User Manual \u0026amp; Thanks Card.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eVariant 4. M2PF-C3 M.2 NGFF SSD Enclosure (5Gbps)\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSupports M.2 NGFF protocols\u003c\/li\u003e\n\u003cli\u003eCompatible with 4 different specifications of M.2 NVME or NGFF solid state drives: 2230, 2242, 2260, and 2280\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eModel: M2PF-C3\u003c\/li\u003e\n\u003cli\u003eColour: Black\u003c\/li\u003e\n\u003cli\u003eMaterial: Aluminum Alloy + PC\u003c\/li\u003e\n\u003cli\u003eOutput Interface: USB3.1 GEN1 Type-C\u003c\/li\u003e\n\u003cli\u003eTransmission Rate: 5Gbps\u003c\/li\u003e\n\u003cli\u003eCompatible with M.2 B-KEY (SATA)\u003c\/li\u003e\n\u003cli\u003eSupport Capacity: Up To 2TB\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInstallation Method: Fixed With Lock Screw\u003c\/li\u003e\n\u003cli\u003eSupport System: for Windows\/Mac OS\/Linux\u003c\/li\u003e\n\u003cli\u003eProduct Size: 108mm X 29.5mm X 13.5mm\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"ThinkRobotics","offers":[{"title":"USB3.2 NVME - 20Gbps","offer_id":39626746626134,"sku":"SBC2044-NVME20","price":5999.99,"currency_code":"INR","in_stock":false},{"title":"NVME + NGFF - 10Gbps","offer_id":39626746724438,"sku":"SBC2044-DUAL10","price":4799.99,"currency_code":"INR","in_stock":false},{"title":"NVME - 10Gbps","offer_id":39626746658902,"sku":"SBC2044-NVME10","price":2299.99,"currency_code":"INR","in_stock":true},{"title":"NGFF - 5Gbps","offer_id":39626746691670,"sku":"SBC2044-NGFF5","price":1699.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/H76e31e241e1c47c69140b471917d5778x.jpg?v=1637568474"},{"product_id":"waveshare-ai-jetbot-robot-kit","title":"Waveshare AI Jetbot Robot Kit","description":"\u003cp\u003e \u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\" class=\"about-headers\"\u003eDescription\u003c\/h3\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"aboutContent clearfix\"\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"std\" style=\"text-align: center;\"\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eWaveshare JetBot AI Robot Developer Kit\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eOffers 8MP 160° FOV camera\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eComes with a Sony IMX219 sensor\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eProvides a resolution of 3280 x 2464 pixel\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eNo messy wiring, simple assembly\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eRuns on 18650 batteries\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003cspan data-mce-fragment=\"1\"\u003e(Not Included)\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\" data-mce-fragment=\"1\"\u003eThe\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003cstrong data-mce-fragment=\"1\"\u003eWaveshare JetBot AI Robot Developer Kit \u003c\/strong\u003eis a small, powerful computer, which delivers 472 GFLOPS for running modern Al algorithms fast, with a quad-core Cortex-A57 CPU and a 128-core Maxwell GPU.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" data-mce-fragment=\"1\"\u003elt is widely used for deep learning, computer vision, GPU computing, multimedia processing, and much more. Many popular Al frameworks are supported, such as TensorFlow, PyTorch, Caffe \/ Caffe2, Keras, and MXNet, etc.\u003c\/p\u003e\n\u003ch3 style=\"text-align: left;\" class=\"about-headers\"\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv class=\"aboutContent clearfix\"\u003e\n\u003cul style=\"text-align: left;\"\u003e\n\u003cli\u003eController: Jetson Nano 4GB (optional)\u003c\/li\u003e\n\u003cli\u003eOS: Ubuntu 18.04 LTS\u003c\/li\u003e\n\u003cli\u003eLanguage: Python\u003c\/li\u003e\n\u003cli\u003eCamera: 8MP HD resolution\u003c\/li\u003e\n\u003cli\u003eFOV: 160°\u003c\/li\u003e\n\u003cli\u003ePixels: 128 x 32\u003c\/li\u003e\n\u003cli\u003eWireless: 2.4 GHz \/ 5.8 GHz dual-band WiFi\u003c\/li\u003e\n\u003cli\u003eTeleoperation: Gamepad, webpage\u003c\/li\u003e\n\u003cli\u003eCommunication: WiFi\u003c\/li\u003e\n\u003cli\u003eProtection: overcharge\/discharge protection, over current protection, short circuit protection, reverse proof\u003c\/li\u003e\n\u003cli\u003eDriving Type: Differential 2WD\u003c\/li\u003e\n\u003cli\u003ePower Supply: 12.6 V, 18650 battery x 3 (connected in series)\u003c\/li\u003e\n\u003cli\u003eMotor: TT motor | Reduction rate 1:48 | Idle speed 240 RPM\u003c\/li\u003e\n\u003cli\u003eChassis: Aluminum alloy chassis\u003c\/li\u003e\n\u003cli\u003eProgram Library: JetBot, ROS\u003c\/li\u003e\n\u003cli\u003eWeight: 1.135 kg\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"text-align: left;\"\u003eWhat's Included:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Metal box\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Camera holder\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x USB WiFi\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x JetBot expansion board\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e2x Motor\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e2x Wheel\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e2x Caster\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Power adapter EU head\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x 12.6 V battery charger\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Wireless gamepad\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e2x Screwdriver\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x 6pin 9 cm cable\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Screws pack\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x 4010 cooling fan\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1x Micro SD card reader\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e3x 18650 3.7V Li-Ion Batteries\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eJetson Nano 4GB Developer Kit is Option\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cimg data-mce-fragment=\"1\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-pack_960_1024x1024.jpg?v=1635101527\" width=\"1024x1024\" height=\"1024x1024\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe Robot Operating System (ROS) is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms. The ROS is one of the most popular robot software frameworks in the world.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003cimg data-mce-fragment=\"1\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-19_1024x1024.jpg?v=1635101872\" width=\"1024x1024\" height=\"1024x1024\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-21_1024x1024.jpg?v=1635102357\" width=\"1024x1024\" height=\"1024x1024\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-15_1024x1024.jpg?v=1635102009\" width=\"1024x1024\" height=\"1024x1024\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003e8MP 160° FOV Camera - Sony IMX219 Sensor, 3280×2464 Resolution\u003c\/h3\u003e\n\u003cp data-mce-fragment=\"1\"\u003eFacial Recognition, Object Classify, Real Time Monitoring\u003cbr\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-17_1024x1024.jpg?v=1635102285\" alt=\"\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"without Jetson Nano","offer_id":39684256104534,"sku":"WVSH0262","price":10549.99,"currency_code":"INR","in_stock":true},{"title":"with ThinkRobotics Jetson Nano Dev 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38mm\u003c\/li\u003e\n\u003cli\u003eWeight: 58g\u003c\/li\u003e\n\u003cli\u003eInterfaces: USB3.0 x2, USB2.0 x2, USB_OTG x1, MicroSD x1, Fan Connector x1, HDMI x1, CAN x2, Giga Ethernet x1, 3.3V UART x2, 3v3 GPIO x4, 3v3 SPI x1\u003c\/li\u003e\n\u003cli\u003eAdditional Functions: Supports Power ON self starting, Power Protection (UVP, OVP, Short), All ESD protection, and XT30 power interface.\u003c\/li\u003e\n\u003cli\u003eUser Manual at \u003ca href=\"https:\/\/github.com\/WeActTC\/WeAct-TX1_2-CB\" target=\"_blank\" rel=\"noopener noreferrer\"\u003e\u003cspan data-mce-fragment=\"1\"\u003ehttps:\/\/github.com\/WeActTC\/WeAct-TX1_2-CB\u003c\/span\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/TX2-3.jpg?v=1637168044\"\u003e\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39627098783830,"sku":"SBC2051","price":14499.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/TX2-1.jpg?v=1637167672"},{"product_id":"weact-jetson-nano-xavier-nx-tx2-nx-compact-carrier-board","title":"WeAct Jetson NANO \/ Xavier NX \/ TX2 NX Compact Carrier Board","description":"\u003cp\u003eThe carrier board from WeAct Studio meets the requirements set by the Xavier NX, TX2 NX and Nano modules, including wide voltage input range, a variety of interfaces, low power consumption, power protection and a host of other features.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuitable for NVIDIA Jetson Nano, Xavier NX and TX2 NX Modules\u003c\/li\u003e\n\u003cli\u003eInput Voltage: 7V ~ 26V\u003c\/li\u003e\n\u003cli\u003eMaximum Power Consumption: 25W\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: 0℃ ~ 70\u003cmeta charset=\"UTF-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003e℃\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eSize: 90mm X 60mm X 24mm\u003c\/li\u003e\n\u003cli\u003eWeight: 58g\u003c\/li\u003e\n\u003cli\u003eInterfaces: USB3.0 x2, USB2.0 x2, USB_OTG x1, MicroSD x1, MiniPCIE x1, HDMI x1, CAN x1 (Xavier NX, TX2 NX), MIPI CSI x2, Giga Ethernet x1, 3.3V UART x2, 3v3 GPIO x2\u003c\/li\u003e\n\u003cli\u003eAdditional Functions:\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eSupports Auto Boot\/ Sleep\/ Shutdown on Long Press\u003c\/li\u003e\n\u003cli\u003eSupports OPP \/ OVP \/ OCP Protection\u003c\/li\u003e\n\u003cli\u003eSupports Peripheral power protection \/ full interface ESD protection\u003c\/li\u003e\n\u003cli\u003eDischarge circuit\u003c\/li\u003e\n\u003cli\u003eSupports Onboard PCIe Wireless Wifi \/ 4G Network Card\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eUser Manual at \u003ca href=\"https:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\" target=\"_blank\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\" data-spm-anchor-id=\"a2g0o.detail.1000023.i0.3e8b610c9PvGvV\"\u003ehttps:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H2cd7979d19884a5daacf8adfcd792400R.jpg?v=1641315440\" alt=\"\"\u003e\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39680984088662,"sku":"SBC2054","price":15499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/WeAct-NVDIA-Jetson-Nano-TX2NX-XavierNX-Carrier-Board-MotherBoard-Robot-UAV_jpg_Q90_jpg__webp.jpg?v=1645627372"},{"product_id":"official-jetson-xavier-nx-heatsink-with-fan-online","title":"Official Jetson Xavier NX HeatSink with Fan","description":"\u003ch2\u003eJetson Xavier NX module HeatSink with Fan\u003c\/h2\u003e\n\u003cul style=\"text-align: center;\"\u003e\n\u003cli style=\"text-align: left;\"\u003eFully compatible with for Jetson Xavier NX module.\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eEffective heat management: all aluminum alloy radiator.\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eEasy to assemble\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eColour: black\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\n\u003cspan data-mce-fragment=\"1\"\u003eMaterial: aluminum alloy \u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eNote: Jetson XAVIER NX module is not included. \u003c\/p\u003e\n\u003ch3\u003ePackage Contents:\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e1x Heat Sink  \u003c\/li\u003e\n\u003cli\u003e1x Stand \u003c\/li\u003e\n\u003cli\u003e4x Screw\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eNote: The measurement might have errors of  ±2cm.\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39763994247254,"sku":"WVSH0359","price":1299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/S2ab1824f26354ab882fb9ca09e0ac1b51.jpg?v=1647513697"},{"product_id":"ac8265-wireless-nic-module","title":"AC8265 Wireless NIC, Dual-Band Wi-Fi 5, Bluetooth 4.2, High Speed and Low Latency","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eAC8265 Wireless NIC, 2.4G \/ 5G WiFi, Bluetooth 4.2, Applicable For devices with M.2 Port\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"utf-8\"\u003eThis is an AC8265 Wireless NIC for Jetson Nano Wi-Fi \/ Bluetooth. The module is used to receive signals through NIC.NIC allows both wired and wireless communications. NIC allows communications between computers connected via local area network (LAN) as well as communications over the large-scale network through Internet Protocol (IP). This module contains two antennas that are used to attract the signals.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-details-1_1.jpg?v=1751527361\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAdopts 8265AC Core\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e Supports IEEE 802.11 a\/b\/g\/n\/ac \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-details-5.jpg?v=1751527336\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eProduct Features\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eChip: Intel 8265AC\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eBands: 2.4GHz \/ 5GHz\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eSpeed: 300Mbps \/ 867Mbps\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWiFi protocol: 802.11ac\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eBluetooth version: 4.2 \u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNIC interface: NGFF (M.2) \u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eAntenna interface: IPEX connector\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eSupported OS: Linux, Windows 10\/8.1\/8\/7\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eDimensions: 22mm × 30mm × 2.4mm\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHow to Use\u003c\/h2\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-install.jpg?v=1664978853\" alt=\"\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eInterface Introduction\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-details-intro.jpg?v=1751527283\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAccess to antenna via IPEX connector\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-details-13.jpg?v=1751527256\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eOutline dimensions\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Wireless-AC8265-details-size.jpg?v=1751527219\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Includes\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1 x AC8265 Wireless NIC for Jetson Nano Wi-Fi \/ Bluetooth\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e2 x Connecting Antennas: 190 x 13 (L x D) mm\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eTechnical Support can be found \u003ca href=\"https:\/\/jetsonhacks.com\/2019\/04\/08\/jetson-nano-intel-wifi-and-bluetooth\/\" target=\"_blank\"\u003ehere\u003c\/a\u003e!\u003c\/strong\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39782839255126,"sku":"WVSH0357","price":2549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/wireless-ac8265-1.jpg?v=1751527056"},{"product_id":"sim7600g-h-m-2-4g-lte-cat-4-module-online","title":"SIM7600G-H-M.2 SIMCom Original 4G LTE Cat-4 Module","description":"\u003cp data-spm-anchor-id=\"a2g0o.detail.1000023.i0.56c2121eD7fiz8\" data-mce-fragment=\"1\"\u003eThe SIM7600G-H-M.2 series is the LTE Cat 4 module which supports wireless communication modes of LTE-TDD\/ LTE-FDD\/HSPA+\/GSM\/GPRS\/EDGE etc. It supports maximum 150Mbps downlink rate and 50Mbps uplink rate. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThe SIM7600G-H-M.2 series adopts M.2 form factor and consists of a SIM7600-H series module and a M.2 adapter board. It is easy for customers to integrate. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThe SIM7600G-H-M.2 series integrates multiple satellite high accuracy positioning GNSS systems, with multiple built-in network protocols, supports drivers for main operation systems (USB driver for Windows, Linux and Android etc.) and software function, AT commands are compatible with SIM7500\/SIM7600 series modules. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eMeanwhile the SIM7600G-H-M.2 series integrates main industrial standard interfaces, with powerful expansibility, including abundant interfaces such as UART, USB, GPIO, which is suitable for main IoT applications such as telematics, surveillance devices, CPE, industrial routers, and remote diagnostics etc.\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SIM7600G-H-PCIE-details-1.png?v=1648908058\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"richWrap\" align=\"center\"\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"text-align: left;\" class=\"richTitle\" data-spm-anchor-id=\"a2g0o.detail.1000023.i1.56c2121eD7fiz8\"\u003eProduct Advantages\u003c\/h3\u003e\n\u003cdiv class=\"bgGrey alignl subBlock mgnTB\" align=\"left\"\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eM.2 interface with strong compatibility\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMulti-constellation GNSS receiver support\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSuitable for LTE, UMTS and GSM networks with global coverage\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAbundant software functions: FOTA, LBS, TLS\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAT commands of the SIM7600-H-M2 series are compatible with the SIM7500\/SIM7600 series modules\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"text-align: left;\" class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: left;\" class=\"richTitle\"\u003eSpecifications\u003c\/h3\u003e\n\u003ctable class=\"tabSty-2 subBlock alignl mgnTB\" align=\"left\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eFrequency Band\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eLTE-FDD\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eB1, B2, B3, B4, B5, B7, B8, B12, B13, B18, B19, B20, B25, B26, B28, B66\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eLTE-TDD\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eB34, B38, B39, B40, B41\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWCDMA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eB1, B2, B4, B5, B6, B8, B19\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGSM\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e850, 900, 1800, 1900MHz\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGNSS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGPS, Beidou, GLONASS, GALILEO, QZSS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eData Transfer\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eLTE\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e150 Mbps (DL)  \/  50 Mbps (UL)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eHSPA+\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e42 Mbps (DL)  \/  5.76 Mbps (UL)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWCDMA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e384 Kbps (DL)  \/  384 Kbps (UL)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEDGE\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e236.8 Kbps (DL)  \/  236.8 Kbps (UL)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGPRS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e85.6 Kbps (DL)  \/  85.6 Kbps (UL)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware Features\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOperating system\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWindows\/Linux\/Android\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eProtocol\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eTCP, IP, IPV4, IPV6, Multi-PDP, FTP, FTPS, HTTP, HTTPS, DNS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSMS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSupports MT, MO, CB, Text, PDU\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eFirmware upgrade\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUSB\/FOTA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eHardware Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSIM card\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1.8V\/3.0V\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAntenna interface\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIPEX-4 connector (LTE main antenna + LTE diversity antenna + GNSS antenna)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePower supply\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3V ~ 4.2V\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eForm factor\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eM.2 B KEY\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eDimensions\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e42.0 × 31.4 × 3.8mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOperating temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e-40℃ ~ +85℃\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"7\" align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eApplicable regions\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eglobal coverage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eExamples\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eHealthcare, smart payment, Internet talk, environmental monitoring, energy monitoring, fleet management, smart industry, intelligent agriculture, etc.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003ePACKAGE CONTENT\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003col align=\"start\"\u003e\n\u003cli\u003eSIM7600G-H-M.2 x1\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39783137378390,"sku":"WVSH0360","price":6499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/sim7600g-h-m.2-1_1.jpg?v=1767781095"},{"product_id":"jetson-nano-heat-sink-online","title":"Jetson Nano Heat Sink","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIf you’re designing any kind of computing application with the Jetson Nano, you \u003cstrong data-mce-fragment=\"1\"\u003eseriously can’t do without a heatsink\u003c\/strong\u003e if you want to avoid overheating problems. While the NVIDIA Jetson Nano is a powerful piece of computing hardware, even basic tasks become difficult without effective heat dissipation, let alone running high-performance applications for prolonged periods of time. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis Aluminum Heatsink for the Jetson Nano Module is an essential accessory for keeping the module cool, improving both computing performance and reliability under heavy workloads to bring its full potential. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eCombine this with the NVIDIA Jetson Nano Module and the Jetson Mate Cluster Mini, and you’ll get a thoroughly well-cooled GPU cluster solution! Run intensive workloads like data analytics and even machine learning on the edge without any worry of overheating and performance throttling issues. \u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eFully compatible with NVIDIA Jetson Nano Module\u003c\/li\u003e\n\u003cli\u003eEssential for high-performance computing: Keeps module temperatures low to avoid overheating and throttling\u003c\/li\u003e\n\u003cli\u003eEffective thermal management: Full Aluminum Alloy Heatsink\u003c\/li\u003e\n\u003cli\u003eSafe for use: Spring mounting interface keeps excessive pressure off the Jetson Nano module\u003c\/li\u003e\n\u003cli\u003eEasy to install: Mounting Holes \u0026amp; Screws Included\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cp\u003eDimensions: 59mm x 39mm x 17.3mm\u003c\/p\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Aluminum Heatsink for Jetson Nano Module \u003c\/li\u003e\n\u003cli\u003e1 x Heat Sink holder \u003c\/li\u003e\n\u003cli\u003e4 x Screws\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39790553923670,"sku":"WVSH0361","price":799.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/CONH045_overview_1.jpg?v=1649473437"},{"product_id":"nvidia-jetson-agx-orin-developer-kit-64gb","title":"NVIDIA Jetson AGX Orin Developer Kit (64GB)","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ Developer Kit includes includes a high-performance, power-efficient Jetson AGX Orin module, and can emulate the other Jetson Orin modules. You now have up to 275 TOPS and 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products.\u003c\/p\u003e\n\u003cp\u003eSupported by NVIDIA JetPack™ and use-case specific software platforms including Isaac for robotics, and Metropolis for smart cities, this developer kit provides everything you need to get started right away.\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eDeveloper Kit Contents\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eJetson AGX Orin module with heat sink and reference carrier board \u003c\/li\u003e\n\u003cli\u003e802.11ac\/abgn wireless Network Interface Controller \u003c\/li\u003e\n\u003cli\u003eUSB-C power adapter and cord \u003c\/li\u003e\n\u003cli\u003eQuick Start and Support Guide\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: There is a 5 day lead time after order is placed.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"content-l\" data-mce-fragment=\"1\"\u003e \u003cmeta charset=\"UTF-8\"\u003e\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eThe Tech Specs\u003c\/h3\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"col-md-3\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"col-md-6\"\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eJETSON AGX ORIN MODULE\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003cth\u003eNVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and \u003cbr\u003e64 Tensor cores\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003cth\u003e12-core Arm Cortex-A78AE v8.2 64-bit CPU \u003cbr\u003e3MB L2 + 6MB L3\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDL Accelerator\u003c\/th\u003e\n\u003cth\u003e2x NVDLA v2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVision Accelerator\u003c\/th\u003e\n\u003cth\u003ePVA v2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003cth\u003e64GB 256-bit LPDDR5 \u003cbr\u003e204.8 GB\/s\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003cth\u003e64GB eMMC 5.1\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Encode\u003c\/th\u003e\n\u003cth\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Decode\u003c\/th\u003e\n\u003cth\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60 | 24x 1080p30 (H.265)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"content-s\"\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/p\u003e\n\u003cbr\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eREFERENCE CARRIER BOARD\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCamera\u003c\/th\u003e\n\u003cth\u003e16 lane MIPI CSI-2 connector\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePCIe\u003c\/th\u003e\n\u003cth\u003ex16 PCIe slot supporting x8 PCIe Gen4\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRJ45\u003c\/th\u003e\n\u003cth\u003eUp to 10 GbE\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eM.2 Key M\u003c\/th\u003e\n\u003cth\u003ex4 PCIe Gen 4\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eM.2 Key E\u003c\/th\u003e\n\u003cth\u003ex1 PCIe Gen 4, USB 2.0, UART, I2S\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Type-C\u003c\/th\u003e\n\u003cth\u003e2x USB 3.2 Gen2 with USB-PD support\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Type-A\u003c\/th\u003e\n\u003cth\u003e2x USB 3.2 Gen2, 2x USB 3.2 Gen1\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Micro-B\u003c\/th\u003e\n\u003cth\u003eUSB 2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplayPort\u003c\/th\u003e\n\u003cth\u003eDisplayPort 1.4a (+MST)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003emicroSD slot\u003c\/th\u003e\n\u003cth\u003eUHS-1 cards up to SDR104 mode\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOther\u003c\/th\u003e\n\u003cth\u003e40-pin header (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) \u003cbr\u003e12-pin automation header \u003cbr\u003e10-pin audio panel header \u003cbr\u003e10-pin JTAG header \u003cbr\u003e4-pin fan header \u003cbr\u003e2-pin RTC battery backup connector \u003cbr\u003eDC power jack \u003cbr\u003ePower, Force Recovery, and Reset buttons\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDimensions\u003c\/th\u003e\n\u003cth\u003e110mm x 110mm x 71.65mm \u003cbr\u003e(Height includes feet, carrier board, module, and thermal solution)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39806068162646,"sku":"SBC1105-DEV","price":228799.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/agx-drive-concord-2c50-P_2x_f70ef5ff-e87e-46c6-8c9f-2abfc3138002.png?v=1650646505"},{"product_id":"forecr-jetson-xavier-agx-carrier-board-online","title":"Forecr Jetson Xavier AGX Carrier Board","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003ch3 style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e\u003cstrong\u003eIndustrial Grade Carrier Board for NVIDIA® Jetson™ AGX Xavier™ \u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-mce-fragment=\"1\"\u003eRobust carrier board for supercomputer level edge Edge AI applications with multiple MIPI CSI-2 camera requirements\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eImportant References:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsboard-xv2-datasheet-1.0.pdf\" target=\"_blank\"\u003eDatasheet\u003c\/a\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInstallation \u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-4-6-installation-for-dsboard-xv2\" target=\"_blank\"\u003eInstructions\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eGetting Started \u003ca href=\"https:\/\/www.forecr.io\/blogs\/getting-started\/dsboard-xv2-getting-started\" target=\"_blank\"\u003eGuide\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePackage Includes - Carrier Board.\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #ff2a00;\"\u003eAGX ORIN MODULE IS NOT INCLUDED\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dsboard-xv2-dark-bg-with-features.webp?v=1651022572\"\u003e\u003c\/div\u003e\n\u003cdiv data-id=\"1618851835946\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618851835946\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm--lg gf-elm--md gf-elm--sm gf-elm--xs gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\u003ch2\u003e\u003cb\u003eTOP PERFORMANCE ON AI DEPLOYMENTS\u003c\/b\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618851817638\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618851817638\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs gf-elm-justify-lg\"\u003e\n\u003cp\u003eDSBOARD-XV2 is a high-performance industrial level carrier board for NVIDIA® Jetson™ AGX Xavier™ processor. It’s ideal size and supercomputer level performance with 32 TOPs enables a wide range of applications, from deep learning algorithms to autonomous machines. Jetson™ AGX Xavier™ can encode up to 8 4K streams and decode 12 4K streams.\u003c\/p\u003e\n\u003cp\u003eNVIDIA® TensorRT library and Deepstream framework provide a basis for the maximum performance of the NVIDIA® Jetson™ AGX Xavier™ processor. Together with the required optimizations in the embedded form factors, obtaining desktop GPU level framerates with deep learning algorithms is no surprise. For more details regarding the performance of NVIDIA® Jetson™ processors, you can visit the NVIDIA®’s DeepStream SDK website.  \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv data-id=\"1618852408202\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852408202\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\u003ch2\u003e\u003cb\u003eALWAYS READY TO USE\u003c\/b\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618852412098\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852412098\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 supports both Jetson™ AGX Xavier™ and Jetson™ AGX Xavier™ Industrial with all the features. We provide the most recent release of BSP packages of Jetpack that NVIDIA® provides. In just two weeks after the new announcement of Jetpack, we publish additional connectivity and OS related tutorials on our blog pages.\u003c\/p\u003e\n\u003cp\u003eAs Forecr, we also provide solutions to mechanical integration problems for our customers at the carrier board level. To make the Jetson™ modules work efficiently even under maximum loads, we created a thermal transfer plate option. When you order DSBOARD-XV2 with a module option, the suitable thermal transfer unit and screw set will be included in the package. We integrate the module and mechanical parts to the carrier board, flash the recent Jetpack software, and our BSP package to deliver a ready-to-use system to your hands. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv data-id=\"1618851977475\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618851977475\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-left-md gf-elm-center-xs gf-elm-left-lg\"\u003e\n\u003ch2\u003e\u003cb\u003eRICH CONNECTIVITY OPTIONS  \u003c\/b\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618851992166\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618851992166\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 comes with both internal and external connections that can be used in a variety of applications at the industry. With high-speed interfaces such as Gigabit Ethernet and USB 3.1, you can connect to high-speed devices and transfer data up to 136.5 GB\/s speed bandwidth quickly. We also included industrial-level communication interfaces such as CAN Bus and software configurable RS232\/422\/485 ports.\u003c\/p\u003e\n\u003cp\u003eDSBOARD-XV2 is designed to be used in various different industries so we included board-level connectors and rich camera connections as well. DSBOARD-XV2 supports up to six MIPI CSI-2 camera connections compatible with standard Raspberry Pi pinout. Additional board-level connectors with UART, SPI, I2C, PCIe signals are also available. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv data-id=\"1618852482764\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852482764\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\u003ch2\u003e\u003cb\u003eUTILIZATION WITH THE MAXIMUM SPEED\u003c\/b\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618852482720\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852482720\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 has 4x PCI Gen 4 support for M.2 Key-M SSD slot, Gigabit Ethernet, 2x USB 3.1 and M.2 Key-B with USB 3.1 connection. Together with these interfaces, board level MIPI CSI-2 interfaces and SD Card interfaces are available as high-speed interfaces.\u003c\/p\u003e\n\u003cp\u003eThe bandwidths of USB 3.1 interfaces with high-speed cameras, Gigabit Ethernet with network throughput softwares, functionality and FPS performance of MIPI CSI-2 interfaces with high resolution cameras, NVMe SSD read\/write performances with a PCIE GEN4 compatible NVMe SSD are tested by our engineering team prior to the shipment. We make sure that the performance of our carrier boards is stable and at the maximum efficiency before deliver to our customers. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv data-id=\"1618852741492\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852741492\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\u003ch2\u003e\u003cb\u003ePOWER EFFICIENCY WITH LONG ENDURANCE\u003c\/b\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618852741427\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852741427\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 supports wide input voltage range together with a reliable power connector. Any power supply between 18-32 VDC range can be connected, and it will work 24\/7, for weeks and months without any issues even under maximum CPU and GPU loads. DSBOARD-XV2 has a robust power circuitry and durability for extended temperature range between -40°C to 85°C to make the board adapt to every industrial environment.\u003c\/p\u003e\n\u003cp\u003eWith Jetson™ AGX Xavier’s high bandwidth low-power RAM, powerful applications can run efficiently by consuming a small amount of power. DSBOARD-XV2 also supports internal mass storage such as 32 GB eMMC 5.1 Flash and MicroSD. \u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv data-id=\"1618853681889\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618853681889\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-center-md gf-elm-center-sm gf-elm-center-xs gf-elm-center-lg\"\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-name=\"Right click on the module, then choose Edit Html \/ Liquid option to start writing your custom code.\" data-id=\"1618852931930\" data-ver=\"1.0\" data-icon=\"gpicon-liquid\" class=\"module-wrap\" id=\"m-1618852931930\" data-key=\"liquid\" data-label=\"Liquid\"\u003e\n\u003cdiv class=\"module gf_module- gf_module--lg gf_module--md gf_module--sm gf_module--xs\"\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSUPPORTED MODULES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson AGX Xavier\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMEMORY\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 GB 256-bit LPDDR4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGRAPHIC INTERFACES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.0 (max resolution 3840x2160)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINTERFACES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e1x Gigabit Ethernet \u003c\/p\u003e\n\u003cp\u003e3x USB 3.1\u003c\/p\u003e\n\u003cp\u003e1x CAN Bus \u003c\/p\u003e\n\u003cp\u003e1x RS232\/422\/485\u003c\/p\u003e\n\u003cp\u003e2xDigital In\/3x Digital Out \u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 (Debug UART) \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWIRELESS COMMUNICATION\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOptional M.2 Key-E Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePOWER SUPPLY\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e18-32 VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eINTERNAL EXTENSION \u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eSOCKETS\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M (PCIe Gen4 x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINTERNAL MASS STORAGE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e32 GB eMMC 5.1 Flash \u003c\/p\u003e\n\u003cp\u003e1x MicroSD Card\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAMBIENT CONDITIONS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-40°C … +85°C \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFORM FACTOR \/ DIMENSIONS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e100 mm x 100 mm \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOPERATING SYSTEMS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Forecr.io","offers":[{"title":"Default Title","offer_id":39810095153238,"sku":"SBC2060","price":63999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/dsboard-xv2-1.png?v=1651022244"},{"product_id":"nvidia-jetson-agx-xavier-passive-heat-sink-online","title":"NVIDIA® Jetson AGX Xavier™ Passive Heat Sink","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe NVIDIA® Jetson™ AGX Xavier™ is the world’s first AI computer for autonomous machines. NVIDIA Jetson AGX Xavier has an impressive 512-core Volta GPU and 64 Tensor cores with discreet dual Deep Learning Accelerator (DLA) NVDLA engines. The platform offers 20x the performance and 10x the power efficiency of the Jetson TX2. Connect Tech is proud to provide small form factor carriers and embedded system solutions for the AGX Xavier. To assist in your selection of our solutions, we have included accessories to match our products. Readily available thermal options get you up and running fast.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesigned to fit the NVIDIA® Jetson AGX Xavier™ modules\u003c\/li\u003e\n\u003cli\u003eDissipates the heat produced by the module through convection\u003c\/li\u003e\n\u003cli\u003eDimensions: 100mm x 87mm x 16mm\/3.93″ x 3.43″ x 0.63″\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"woocommerce-tabs wc-tabs-wrapper\"\u003e\n\u003cdiv aria-labelledby=\"tab-title-additional_information\" role=\"tabpanel\" id=\"tab-additional_information\" class=\"woocommerce-Tabs-panel woocommerce-Tabs-panel--additional_information panel entry-content wc-tab\"\u003e\n\u003ch2 class=\"fusion-responsive-typography-calculated\" data-lineheight=\"36px\" data-fontsize=\"24\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"woocommerce-product-attributes shop_attributes\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_compatibility\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eCompatibility\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003eNVIDIA® Jetson AGX Xavier™\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_dimensions\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eDimensions\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e100mm x 87mm x 16mm\/3.93″ x 3.43″ x 0.63″\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_thermal-resistance\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eThermal Resistance\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e0.5 C\/W\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_weight\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eWeight\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e91g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_mounting-fasteners\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eMounting Fasteners\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003eM3.0X0.5 PPHMS, 30mm long, S.S\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_mounting-torque-rating\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eMounting Fastener Torque Rating\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e5.2 in-ib\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39899028291670,"sku":"SBC2061","price":5899.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/XHG305-angle-1.jpg?v=1654570873"},{"product_id":"nvidia-jetson-agx-xavier-active-heat-sink-online","title":"NVIDIA® Jetson AGX Xavier™ Active Heat Sink","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe NVIDIA® Jetson™ AGX Xavier™ is the world’s first AI computer for autonomous machines. NVIDIA Jetson AGX Xavier has an impressive 512-core Volta GPU and 64 Tensor cores with discreet dual Deep Learning Accelerator (DLA) NVDLA engines. The platform offers 20x the performance and 10x the power efficiency of the Jetson TX2. Connect Tech is proud to provide small form factor carriers and embedded system solutions for the AGX Xavier. To assist in your selection of our solutions, we have included accessories to match our products. Readily available thermal options get you up and running fast.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesigned to fit the NVIDIA® Jetson AGX Xavier™ modules\u003c\/li\u003e\n\u003cli\u003eDissipates the heat produced by the module through a fan\u003c\/li\u003e\n\u003cli\u003eDimensions: 100mm x 87mm x 36.7mm\/3.93″ x 3.43″ x 1.44″\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"fusion-responsive-typography-calculated\" data-lineheight=\"36px\" data-fontsize=\"24\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"woocommerce-product-attributes shop_attributes\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_compatibility\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eCompatibility\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003eNVIDIA® Jetson AGX Xavier™\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_dimensions\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eDimensions\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e100mm x 87mm x 36.7mm\/3.93″ x 3.43″ x 1.44″\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_weight\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eWeight\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e204g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_fan-connector\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eFan Connector\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e4-pin Molex 51021-0400\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_mating-header\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eMating Header\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e4-pin Molex 53261-0471\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_thermal-resistance\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eThermal Resistance\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e0.5 C\/W\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_mounting-fasteners\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eMounting Fasteners\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003eM3.0X0.5 PPHMS, 30mm long, S.S\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"woocommerce-product-attributes-item woocommerce-product-attributes-item--attribute_pa_mounting-torque-rating\"\u003e\n\u003cth class=\"woocommerce-product-attributes-item__label\"\u003eMounting Fastener Torque Rating\u003c\/th\u003e\n\u003ctd class=\"woocommerce-product-attributes-item__value\"\u003e\n\u003cp\u003e5.2 in-ib\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39899030847574,"sku":"SBC2062","price":12999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/XHG306-angle.jpg?v=1654571300"},{"product_id":"jetson-nano-compact-deploy-kit-online","title":"ThinkRobotics Jetson Nano Compact Deploy Kit (B01 - 4GB)","description":"\u003ch2 style=\"text-align: center;\"\u003e\u003cspan data-sheets-userformat='{\"2\":707,\"3\":{\"1\":0},\"4\":{\"1\":2,\"2\":16777215},\"9\":1,\"10\":1,\"12\":0}' data-sheets-value='{\"1\":2,\"2\":\"SBC1023\"}' data-mce-fragment=\"1\"\u003eThinkRobotics NVIDIA Jetson Nano Development Kit\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe power of modern AI is now available for makers, learners, and embedded developers everywhere.\u003c\/p\u003e\n\u003cp\u003eNVIDIA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eJetson Nano\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eDeveloper Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.\u003c\/p\u003e\n\u003cp\u003eDue to the unavailability of the NVIDIA Jetson Dev Kits, ThinkRobotics bring to you a custom Nano Dev Kit, with the following components:\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/weact-studio-tx2-nx-carrier-board?_pos=2\u0026amp;_psq=weact\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eWeAct Carrier Board\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eJetson Nano Module\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-heatsink?_pos=2\u0026amp;_psq=nano%20heat%20\u0026amp;_ss=e\u0026amp;_v=1.0\"\u003eJetson Nano Heat Sink\u003c\/a\u003e \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Developer Kit, flashed with Ubuntu, these kits are ready to use out of the box. \u003c\/strong\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cstrong\u003eBULK Quantity discount available. Contact us for custom boot loading and \u003c\/strong\u003e\u003cb\u003escripting of the Nano Module. We can make it AI ready for you.\u003c\/b\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe carrier board from WeAct Studio meets the requirements set by the Xavier NX, TX2 NX and Nano modules, including wide voltage input range, a variety of interfaces, low power consumption, power protection and a host of other features.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuitable for NVIDIA Jetson Nano, Xavier NX and TX2 NX Modules\u003c\/li\u003e\n\u003cli\u003eInput Voltage: 7V ~ 26V\u003c\/li\u003e\n\u003cli\u003eMaximum Power Consumption: 25W\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: 0℃ ~ 70\u003cmeta charset=\"UTF-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003e℃\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eSize: 90mm X 60mm X 24mm\u003c\/li\u003e\n\u003cli\u003eWeight: 58g\u003c\/li\u003e\n\u003cli\u003eInterfaces: USB3.0 x2, USB2.0 x2, USB_OTG x1, MicroSD x1, MiniPCIE x1, HDMI x1, CAN x1 (Xavier NX, TX2 NX), MIPI CSI x2, Giga Ethernet x1, 3.3V UART x2, 3v3 GPIO x2\u003c\/li\u003e\n\u003cli\u003eAdditional Functions:\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eSupports Auto Boot\/ Sleep\/ Shutdown on Long Press\u003c\/li\u003e\n\u003cli\u003eSupports OPP \/ OVP \/ OCP Protection\u003c\/li\u003e\n\u003cli\u003eSupports Peripheral power protection \/ full interface ESD protection\u003c\/li\u003e\n\u003cli\u003eDischarge circuit\u003c\/li\u003e\n\u003cli\u003eSupports Onboard PCIe Wireless Wifi \/ 4G Network Card\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eUser Manual at \u003ca href=\"https:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\" target=\"_blank\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-spm-anchor-id=\"a2g0o.detail.1000023.i0.3e8b610c9PvGvV\" data-mce-fragment=\"1\"\u003ehttps:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H2cd7979d19884a5daacf8adfcd792400R.jpg?v=1641315440\" alt=\"\"\u003e\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39902193746006,"sku":"SBC1023","price":28999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC1023-1.png?v=1654827854"},{"product_id":"recomputer-j202-carrier-board-for-jetson-nano-and-xavier-nx-with-4-usb-3-1-m-2-key-online","title":"reComputer J202 - carrier Board for Jetson Nano and Xavier NX with 4 USB 3.1, M.2 Key","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe reComputer J202 carrier board has nearly the same design and function as NVIDIA® Jetson Xavier NX™ carrier board, perfectly works with Jetson Nano\/Xavier NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: DELIVERY TIME CAN VARY BETWEEN 7 to 10 BUSINESS DAYS. For assembly, programming and case design, please contact us.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eThe carrier board and modules come with a 1 year manufacturer's limited warranty supported by ThinkRobotics.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cem\u003e\u003cspan style=\"color: #000000;\"\u003eThe J202 Datasheet can be found \u003ca rel=\"noopener noreferrer\" style=\"color: #000000;\" href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-carrier-board-datasheet.pdf\" target=\"_blank\"\u003ehere\u003c\/a\u003e!\u003c\/span\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePerfectly suited: Design for \u003cstrong\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eDeveloper Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eHigh versatility\u003c\/strong\u003e: Suitable for complicated AI graphical applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComprehensive certificates: FCC, CE, RoHS, KC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/h2\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"p\"\u003ereComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano \/ Xavier NX compatible carrier board, providing \u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan\u003c\/strong\u003e, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"p\"\u003eFunctionality\u003c\/h3\u003e\n\u003cp class=\"p\"\u003eWith the NVIDIA Jetson module assembled, it could support \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.\u003c\/p\u003e\n\u003cp class=\"p\"\u003eWith its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. \u003c\/p\u003e\n\u003ch3\u003eSpecifications:\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eModule Compatibility: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/ \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano); 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli\u003e1x CAN\u003c\/li\u003e\n\u003cli\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli\u003ePower supply: 12V\/5A(Barrel Jack 5.5\/2.1mm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 dir=\"ltr\"\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003eWork with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003ePlease also check out \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e including getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparison with NVIDIA Xavier NX Dev Kit carrier boards\u003c\/h3\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3\u003e Hardware Overview\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" height=\"900\" width=\"900\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Seeed Studio","offers":[{"title":"None","offer_id":40010855972950,"sku":"SBC2066","price":15599.99,"currency_code":"INR","in_stock":true},{"title":"12V\/5A Power Supply","offer_id":49844212990269,"sku":"SBC2066PS","price":17049.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/102991675_preview-07.jpg?v=1660533902"},{"product_id":"nvidia-jetson-nano-developer-kit-online-b01-4gb","title":"ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB)","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cstrong\u003eThe ThinkRobotics NVIDIA Jetson Nano Development Kit (4GB) comes with an interface rich carrier board from SEEED studio, with Jetpack preinstalled.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe J101 carrier board is a cost-effective and interface-rich NVIDIA Jetson Nano compatible carrier board. It included HDMI2.0, 2x USB 2.0, 1x USB 3.0, micro SD card slot, 2 xCSI, M.2 key E WIFI \/ BT, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has nearly the same functional design and exactly the same size as the carrier board of \u003c\/span\u003eNVIDIA® Jetson Nano™ B01.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cstrong\u003eColor of the case may vary.\u003c\/strong\u003e For customization of 3D Printed case, and programming - please contact us. The carrier board and modules come with a 1 year manufacturer's limited warranty supported by ThinkRobotics.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNote: Power supply is not included in the kit and needs to be bought separately.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #2b00ff;\"\u003e\u003cstrong\u003e100+ units available. Usually ships in 3 working days.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #085d87;\"\u003e\u003cstrong\u003eDocumentation \u0026amp; Wiki: \u003c\/strong\u003ePlease also check out \u003cem\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" style=\"color: #085d87; text-decoration: underline;\" target=\"_blank\"\u003eSeeed wiki guide\u003c\/a\u003e\u003c\/strong\u003e\u003c\/em\u003e including getting started with Jetson Nano and also building different projects. \u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePerfectly suited: Design for \u003cstrong\u003eJetson Nano Module\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eDev Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Nano Developer kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eExpandable storage\u003c\/strong\u003e: SD card slot for storage expansion of Nano module (16GB eMMC).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.0, USB 2.0 ports, M.2 key E for WIFI, RTC, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eSuper cost-effective\u003c\/strong\u003e: Suitable for the good start and quick evaluation of AI applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComes in 3D Printed Case as an option.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComprehensive certificates: FCC, CE, RoHS, KC.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"960\" height=\"960\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch3 class=\"p\"\u003eFunctionality\u003c\/h3\u003e\n\u003cp class=\"p\"\u003eWorking with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA® cores, it's ready to bring the power of modern AI to everyone: makers, learners, and embedded developers. \u003c\/p\u003e\n\u003cp class=\"p\"\u003eWith the NVIDIA Jetson Nano module assembled, it could support \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003eWorking with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials! \u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch3\u003eSpecifications:\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eModule Compatibility: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_sid=d0c5055a4\u0026amp;_ss=r\" target=\"_blank\"\u003eJetson Nano series\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 1x USB Type-C (Power In); 1x USB 3.0 Type-A (5 Gbps); 2x USB 2.0 Type-A; 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli\u003eMicro SD card: 1x Micro SD card slot (48MHz CLK Frequency)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eM.2 Key E\u003c\/li\u003e\n\u003cli\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli\u003ePower supply: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/20w-5v-4a-power-supply-for-nvidia-jetson-nano?_pos=2\u0026amp;_psq=usb+power+supply\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=39626382016598\" target=\"_blank\"\u003e5V\/4A(USB Type C)\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eComparison with NVIDIA Nano series Dev kits carrier board:\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" height=\"auto\" width=\"auto\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Without Case","offer_id":40058803585110,"sku":"SBC2067-NoC","price":26999.99,"currency_code":"INR","in_stock":false},{"title":"With 3D Printed Case","offer_id":40058803617878,"sku":"SBC2067-3D","price":26969.99,"currency_code":"INR","in_stock":false},{"title":"With 3D Printed Case for High Temp Applications","offer_id":40058803650646,"sku":"SBC2067-HT","price":27719.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC2067-4.png?v=1661936011"},{"product_id":"a205-advanced-carrier-board-for-jetson-nano-xavier-online","title":"A205 Advanced Carrier Board for Jetson Nano\/Xavier NX\/TX2 NX for 6 CSI Camera","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eA205 is an extended carried board specifically for NVIDIA Jetson Nano \/ Xavier NX\/ TX2 NX. The rich peripheral interfaces make it suitable for edge areas to meet in demand as smart retail or video analysis.With the powerful NVIDIA controlling module(not included) and its rich SATA and CSI Camera interfaces, it is good for Automated Optical Inspection, In Video Action, Robot control, Drone, 3D modeling etc.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan data-mce-fragment=\"1\"\u003eFeatures\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul style=\"font-weight: 400;\"\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003e\u003cspan style=\"font-style: inherit; font-weight: inherit;\"\u003eRich peripheral interfaces and complete features\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003e\u003cspan style=\"font-style: inherit; font-weight: inherit;\"\u003eUp to 6 CSI camera connection allowance\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003e\u003cspan style=\"font-style: inherit; font-weight: inherit;\"\u003e5 SATA allows connection to multiple hard drives\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003e\u003cspan style=\"font-style: inherit; font-weight: inherit;\"\u003eEquipped with an anti-fall aviation plug that supports high currents\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003eAll-in-one solution with up to 3 fans interfaces for better heat dissipation consideration\u003c\/li\u003e\n\u003cli style=\"font-style: inherit; font-weight: inherit;\"\u003eCertificate: FCC, CE, RoHS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eDescription\u003c\/h3\u003e\n\u003cp data-style=\"text-align: justify;\"\u003eA205 is a high-performance, interface rich NVIDIA Jetson Nano \/ Xavier NX\/ TX2 NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB3.0, USB 2.0 (W \/ OTG function) M.2 key E Wifi \/ Bluetooth, SATA, CSI camera, RS232, SD card, CAN, PIO, I2C, I2S fans, and other rich peripheral interfaces are suitable for environments with strict environmental requirements, complicate real-time vision computation.\u003c\/p\u003e\n\u003cp data-style=\"text-align: justify;\"\u003eBasically, it works with an NVIDIA Jetson module mentioned above to achieve graphic AI applications. To be more specific, with the NVIDIA Jetson Nan\/Xavier NX\/TX2 NX module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for complicated AI graphical applications such as Automated Optical Inspection, In Video Action, Robot control, 3D modeling, Drone, parallel computing for Computer vision. Overall, it can be widely deployed in edge areas to meet the demand as smart retail or video analysis.\u003c\/p\u003e\n\u003ch3 data-style=\"text-align: justify;\"\u003ePackage Includes:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e1x A205 Carrier Board\u003c\/li\u003e\n\u003cli\u003e1x 19V\/4.7A Meanwell Power Supply\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-style=\"text-align: justify;\"\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan data-style=\"font-size: 1.5em;\"\u003eApplication\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIndustrial Automation\u003c\/li\u003e\n\u003cli\u003eAutomated Optical Inspection\u003c\/li\u003e\n\u003cli\u003eRobot control\u003c\/li\u003e\n\u003cli\u003e3D modeling\u003c\/li\u003e\n\u003cli\u003eDrone\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2021\/12\/03\/sentiment-analysis-in-the-retail-industry-becomes-more-accessible\/\" target=\"_blank\"\u003eSentiment Analysis\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cp\u003eA205 Connector Summary: \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eFeature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003eA205 Carrier for NVIDIA® Jetson\u003cspan data-style=\"font-family: 宋体;\"\u003e™ \u003c\/span\u003e\u003cspan data-style=\"font-family: 'Times New Roman';\"\u003eNano\/NX\/TX2 NX\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eModule Compatibility  \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e NVIDIA® Jetson\u003cspan data-style=\"font-family: 宋体;\"\u003e™ \u003c\/span\u003e\u003cspan data-style=\"font-family: 'Times New Roman';\"\u003eNano\/NX \/TX2 NX\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003ePCB Size \/ Overall Size\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e170mm x 100mm  \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eDisplay   \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e2x HDMI\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e2x Gigabit Ethernet (10\/100\/1000M)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e4x USB 3.0 Type-A (Integrated USB 2.0)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1x USB 2.0 Type C(Support OTG)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eSATA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x 5 SATA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eM.2 Key E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1x M.2 Key E Interface\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eCSI Camera \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e6 x Camera (MIPI CSI-2 )\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eTF_Card\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x TF_Card Slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eUSB WIFI Mode\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003eStandard USB WIFI Mode(4 pin interface)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eAudio\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x Audio Jack,2 x Microphone, 2 x Speaker(1W)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eSPI Bus\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x SPI Bus(+3.3V Level)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eFAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e2 x Fan(12V\/5V),1 x FAN(5V PWM)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eCAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x CAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"7\" valign=\"center\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eMisc.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x System Control\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x Power Control\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e 2x I2C Link (+3.3V I\/O)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x UART(+3.3V Level)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e2 x GPIO(+3.3V Level)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e2 x SPI Bus(+3.3V Level)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"center\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e1 x LED State\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003ePower Requirements\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e+13V to +19V DC Input @ 8A\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"top\" width=\"359\"\u003e\n\u003cp align=\"center\"\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"top\" width=\"473\"\u003e\n\u003cp align=\"center\"\u003e-25\u003cspan data-style=\"font-family: 宋体;\"\u003e° \u003c\/span\u003e\u003cspan data-style=\"font-family: 'Times New Roman';\"\u003eto +80\u003c\/span\u003e\u003cspan data-style=\"font-family: 宋体;\"\u003e°\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205 spec.png\" src=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205%20spec.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205 spec1.png\" src=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205%20spec1.png\"\u003e\u003c\/p\u003e\n\u003ch3\u003eRecovery mode\u003c\/h3\u003e\n\u003cp\u003eTo use USB update, you need to enter USB recovery mode. In USB recovery mode, it can update the file system, kernel, boot loader and BCT.\u003c\/p\u003e\n\u003cp\u003eSteps to enter recovery mode:\u003c\/p\u003e\n\u003cp\u003e(1) Turn off the system power, make sure that the power is turned off instead of in standby mode.\u003c\/p\u003e\n\u003cp\u003e(2) Use the USB type-C link line to connect the carrier and the host.\u003c\/p\u003e\n\u003cp\u003e(3) Power on.\u003c\/p\u003e\n\u003cp\u003e(4) Press and hold the recovery key first, then press and hold the power key. When the light is on, release the power key, wait for 2S and release the recovery key. Or in the power-on state, press and hold the reset key and recovery key, release the reset key for 2S and then release the recovery key.\u003c\/p\u003e\n\u003cp\u003ePlease follow the steps of the updated manual for a system update. when entering USB recovery mode, the system will not start, and the serial port will not have debugging information output.\u003c\/p\u003e\n\u003ch3\u003eDocumentations\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/A205-Carrier-Board-Specification.pdf\"\u003eA205 Carrier Board Specification\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205%20Pin%20Description%20.pdf\"\u003eA205 Pin Description.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205_TOP.dwg\"\u003eA205 Top View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205_BOTTOM.dwg\"\u003eA205 Bottom View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Seeed Studio","offers":[{"title":"Carrier Board Only \/ None","offer_id":40011639521366,"sku":"SBC2068-0","price":54291.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board Only \/ Nano Passive HeatSink","offer_id":40011639554134,"sku":"SBC2068-1","price":54791.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board Only \/ Xavier NX Active Heat Sink","offer_id":40011639586902,"sku":"SBC2068-2","price":54791.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 4GB Nano SOM \/ None","offer_id":40011639619670,"sku":"SBC2068-3","price":68291.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 4GB Nano SOM \/ Nano Passive HeatSink","offer_id":40011639652438,"sku":"SBC2068-4","price":71191.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 8GB Xavier NX SOM \/ None","offer_id":40011639717974,"sku":"SBC2068-6","price":106291.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 8GB Xavier NX SOM \/ Xavier NX Active Heat Sink","offer_id":40011639783510,"sku":"SBC2068-8","price":117291.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 16GB Xavier NX SOM \/ None","offer_id":40011639816278,"sku":"SBC2068-9","price":117291.28,"currency_code":"INR","in_stock":true},{"title":"Carrier Board + 16GB Xavier NX SOM \/ Xavier NX Active Heat Sink","offer_id":40011639881814,"sku":"SBC2068-11","price":118791.28,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/11410048_preview-07-min.webp?v=1660594256"},{"product_id":"nvidia-jetson-xavier-nx-developer-kit-online","title":"ThinkRobotics NVIDIA Jetson Xavier NX Developer Kit - Compact","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eThe ThinkRobotics NVIDIA Jetson Xavier NX Developer Kit comes with an interface rich carrier board from SEEED studio, and Jetpack preinstalled.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe reComputer J202 carrier board has nearly the same design and function as NVIDIA® Jetson Xavier NX™ carrier board, perfectly works with Jetson Nano\/Xavier NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003cbr\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: DELIVERY TIME CAN VARY BETWEEN 7 to 10 BUSINESS DAYS. For assembly, programming and case design, please contact us.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eThe carrier board and modules come with a 1 year manufacturer's limited warranty supported by ThinkRobotics.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cem\u003e\u003cspan style=\"color: #000000;\"\u003eDatasheet for J202 Carrier Board can be found \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-carrier-board-datasheet.pdf\" target=\"_blank\"\u003ehere\u003c\/a\u003e!\u003c\/span\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #000000;\"\u003ePackage Includes:\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eXavier NX Developer Kit\u003cspan style=\"color: #ff2a00;\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e12V \/ 6A Power Supply\u003c\/li\u003e\n\u003cli\u003e3D Printed Case (PLA or CF PETG)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePerfectly suited: Design for \u003cstrong\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eDeveloper Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eHigh versatility\u003c\/strong\u003e: Suitable for complicated AI graphical applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComprehensive certificates: FCC, CE, RoHS, KC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/h2\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"p\"\u003ereComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano \/ Xavier NX compatible carrier board, providing \u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan\u003c\/strong\u003e, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"p\"\u003eFunctionality\u003c\/h3\u003e\n\u003cp class=\"p\"\u003eWith the NVIDIA Jetson module assembled, it could support \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.\u003c\/p\u003e\n\u003cp class=\"p\"\u003eWith its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. \u003c\/p\u003e\n\u003ch3\u003eSpecifications:\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eModule Compatibility: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/ \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano); 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli\u003e1x CAN\u003c\/li\u003e\n\u003cli\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli\u003ePower supply: 12V\/5A(Barrel Jack 5.5\/2.1mm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 dir=\"ltr\"\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003eWork with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003ePlease also check out \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e including getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparison with NVIDIA Xavier NX Dev Kit carrier boards\u003c\/h3\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3\u003e Hardware Overview\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" height=\"900\" width=\"900\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"8GB \/ No SSD","offer_id":40045221707862,"sku":"SBC1025.1","price":79749.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 240GB SSD","offer_id":40045221773398,"sku":"SBC1025.1+SBC2105.24","price":87149.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 480GB SSD","offer_id":43952852697405,"sku":"SBC1025.1+SBC2105.48","price":89699.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 960GB SSD","offer_id":43952852730173,"sku":"SBC1025.1+SBC2105.96","price":97349.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ No SSD","offer_id":40045267189846,"sku":"SBC1025.2","price":98499.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 240GB SSD","offer_id":40045267222614,"sku":"SBC1025.2+SBC2105.24","price":105899.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 480GB SSD","offer_id":43952852762941,"sku":"SBC1025.2+SBC2105.48","price":108499.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 960GB SSD","offer_id":43952852795709,"sku":"SBC1025.2+SBC2105.96","price":116099.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/XAVIERNX-2.png?v=1662619630"},{"product_id":"re-computer-case-online","title":"re_computer case: Most Compatible Enclosure for popular SBCs including ODYSSEY - X86J4105, Raspberry Pi, BeagleBone and Jetson Nano\/Xavier NX","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"p1\"\u003eThe re_computer case is specially designed for the re_computer system, compatible with all popular SBCs, with a removable acrylic cover on the top, and with a stackable structure to extend endless possibilities.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"p1\"\u003eWe have designed and left screw holes for the installation of the most popular SBCs including our \u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.seeedstudio.com\/tag\/ODYSSEY-X86J4105.html\" target=\"_blank\"\u003enew released \u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.seeedstudio.com\/tag\/ODYSSEY-X86J4105.html\" target=\"_blank\"\u003eODYSSEY - X86J4105\u003c\/a\u003e, \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.seeedstudio.com\/Raspberry-pi-c-1010.html\"\u003eRaspberry Pi\u003c\/a\u003e, \u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.seeedstudio.com\/beaglebone-c-954.html\"\u003eBeagleBone\u003c\/a\u003e, and \u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.seeedstudio.com\/NVIDIA-c-1349.html\"\u003eJetson Nano\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"p1\"\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan\u003eThe new batch of re_computer case contains \u003c\/span\u003e\u003cstrong\u003ecompatible side panels for Jetson Nano, Raspberry Pi 3 \u0026amp; 4, BeagleBone® Black \u0026amp; Green and Odyssey-X86J4105\u003c\/strong\u003e\u003cspan\u003e.\u003c\/span\u003e\u003cstrong\u003e Also includes all the standoffs and screws for installations so no need to purchase again.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cimg class=\"lazy\" width=\"3780\" height=\"3780\" data-src=\"https:\/\/files.seeedstudio.com\/products\/114992152\/img\/parts.jpg\" src=\"https:\/\/files.seeedstudio.com\/products\/114992152\/img\/parts.jpg\"\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"http:\/\/files.seeedstudio.com\/products\/114992152\/img\/Banner1.jpg\" src=\"http:\/\/files.seeedstudio.com\/products\/114992152\/img\/Banner1.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"800\" height=\"800\" data-src=\"https:\/\/files.seeedstudio.com\/products\/114992152\/img\/mountingLayout.png\" src=\"https:\/\/files.seeedstudio.com\/products\/114992152\/img\/mountingLayout.png\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"p1\"\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"p1\"\u003e\u003cstrong\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/lmJQ7JBQV1Q\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":40057271517270,"sku":"SBC2071","price":3349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/case-45_1.png?v=1663141610"},{"product_id":"j101-carrier-board-for-nvidia-jetson-nano-online","title":"J101 Jetson Nano Carrier Board","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe J101 carrier board is a cost-effective and interface-rich NVIDIA Jetson Nano compatible carrier board. It included HDMI2.0, 2x USB 2.0, 1x USB 3.0, micro SD card slot, 2 xCSI, M.2 key E WIFI \/ BT, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has nearly the same functional design and exactly the same size as the carrier board of \u003c\/span\u003eNVIDIA® Jetson Nano™ B01.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\"\u003e\u003cstrong\u003eIf you are looking for a fully assembled Jetson Nano Developer Kit (B01), \u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-b01?_pos=1\u0026amp;_psq=b01\u0026amp;_ss=e\u0026amp;_v=1.0\"\u003eclick here\u003c\/a\u003e!\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eJetson Nano Module and Heatsink are not included. For reference only.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\n\u003cspan style=\"color: #2b00ff;\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003eFeatures\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePerfectly suited: Design for \u003cstrong\u003eJetson Nano Module\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eDev Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Nano Developer kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eExpandable storage\u003c\/strong\u003e: SD card slot for storage expansion of Nano module (16GB eMMC).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.0, USB 2.0 ports, M.2 key E for WIFI, RTC, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eSuper cost-effective\u003c\/strong\u003e: Suitable for the good start and quick evaluation of AI applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComes in 3D Printed Case as an option.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComprehensive certificates: FCC, CE, RoHS, KC.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"960\" height=\"960\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch3 class=\"p\"\u003eFunctionality\u003c\/h3\u003e\n\u003cp class=\"p\"\u003eWorking with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA® cores, it's ready to bring the power of modern AI to everyone: makers, learners, and embedded developers. \u003c\/p\u003e\n\u003cp class=\"p\"\u003eWith the NVIDIA Jetson Nano module assembled, it could support \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003eWorking with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials! \u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003ePlease also check out \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e\u003cstrong\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e including getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eSpecifications:\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eModule Compatibility: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_sid=d0c5055a4\u0026amp;_ss=r\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eJetson Nano series\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 1x USB Type-C (Power In); 1x USB 3.0 Type-A (5 Gbps); 2x USB 2.0 Type-A; 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli\u003eMicro SD card: 1x Micro SD card slot (48MHz CLK Frequency)\u003c\/li\u003e\n\u003cli\u003eM.2 Key E\u003c\/li\u003e\n\u003cli\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli\u003ePower supply: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/20w-5v-4a-power-supply-for-nvidia-jetson-nano?_pos=2\u0026amp;_psq=usb+power+supply\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=39626382016598\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e5V\/3A(USB Type C)\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eComparison with NVIDIA Nano series Dev kits carrier board:\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" height=\"auto\" width=\"auto\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":40063792676950,"sku":"SBC2067","price":8349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/102991674_preview-07_ca5a4eb2-0e16-4c2e-b08e-3e4ccd68b1e1.jpg?v=1663597865"},{"product_id":"recomputer-j2012-j2021-edge-ai-device-with-jetson-xavier-nx-online","title":"ThinkRobotics Edge AI Device with Jetson Xavier NX Module, Aluminium Case, Based on reComputer J2012 \/ J2021","description":"\u003ch2 style=\"text-align: center;\"\u003eEdge AI Device with Jetson Xavier NX Module\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eAluminium Case | Pre-Installed Jetpack | reComputer J2012 \/ J2021\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=1\u0026amp;_sid=9c161850e\u0026amp;_ss=r\"\u003eNano 4GB\u003c\/a\u003e) and J20 \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=4\u0026amp;_psq=xavier+nx\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=39799560142934\"\u003e(Jetson Xavier NX 8GB\u003c\/a\u003e and \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=4\u0026amp;_psq=xavier+nx\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=39799560142934\"\u003eJetson Xavier 16GB\u003c\/a\u003e).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith rich extension modules, industrial peripherals, thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP). \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eAt Seeed Studio, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" dir=\"ltr\"\u003eFeatures\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 95.3726%; margin-left: auto; margin-right: auto;\" height=\"396\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\u003cstrong\u003eHand-size edge AI device\u003c\/strong\u003e built with Jetson Xavier NX 16GB Production Module, delivering 384 NVIDIA CUDA® cores and up to 21 TOPs AI performance, with a compact form factor of 130mm × 120mm × 50mm.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\u003cstrong\u003eNVIDIA Jetson Xavier NX Dev Kit alternative:\u003c\/strong\u003e the carrier board provides rich I\/O including a Gigabit Ethernet port, 4 × USB 3.0 Type-A ports, HDMI port, and DP port.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\u003cstrong\u003ePre-installed NVIDIA JetPack\u003c\/strong\u003e, supporting the entire Jetson software stack and various developer tools from Seeed Edge AI partners, enabling fast and robust AI application development for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\u003cstrong\u003ePower-efficient operation: \u003c\/strong\u003econsumes as little as 10 watts while delivering high-performance, accurate, multi-modal AI inference at the edge.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\u003cstrong\u003eExpandable\u003c\/strong\u003e through onboard interfaces and the reComputer case; supports wall mounting using the mounting holes on the back.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/h2\u003e\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\u003cdiv\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\u003cp style=\"text-align: center;\" class=\"p\"\u003ereComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano \/ Xavier NX compatible carrier board, providing \u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan\u003c\/strong\u003e, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp style=\"text-align: left;\" class=\"p\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"p\"\u003eFunctionality\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"p\"\u003eWith the NVIDIA Jetson module assembled, it could support \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"p\"\u003eWith its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. \u003c\/p\u003e\n\u003cp class=\"p\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable height=\"528\" style=\"border-collapse: collapse; width: 93.1517%; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eModule Compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003eXavier NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003ePCB Size \/ Overall Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e100mm × 80mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × HDMI, 1 × DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eCSI Camera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e4 × USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano)\u003cbr\u003e1 × USB Type-C (Device mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eM.2 Slots\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × M.2 Key E, 1 × M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × Fan Connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eMultifunctional Port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × 40-Pin, 1 × 12-Pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003eRTC 2-pin, RTC socket (reserved)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e12V \/ 5A (Barrel Jack 5.5 \/ 2.1mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\u003ch2 style=\"text-align: center;\" dir=\"ltr\"\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003eWork with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003ePlease also check out \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e including getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparison with NVIDIA Xavier NX Dev Kit carrier boards\u003c\/h2\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003e Hardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" height=\"900\" width=\"900\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eParts List (Assembled)\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 93.3308%; height: 260px; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e\u003cstrong\u003eQuantity\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1944px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 39.1944px; text-align: center;\"\u003ereComputer J202 – Carrier Board for Jetson Nano and Xavier NX with 4 × USB 3.1, M.2 Key\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 39.1944px; text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eNvidia Jetson Xavier NX SOM (8GB \/ 16GB)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eOfficial Jetson Xavier NX Heatsink with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003e12V \/ 5A 60W Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003ere_computer Case – Compatible Enclosure for Popular SBCs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Seeed Studio","offers":[{"title":"8GB","offer_id":40063820169302,"sku":"SBC2066-8","price":83202.99,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":40063820202070,"sku":"SBC2066-16","price":101902.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/recomputer_all-22.jpg?v=1678941052"},{"product_id":"advanced-thinkrobotics-nvidia-jetson-nano-development-kit-b01-4gb-online","title":"Advanced ThinkRobotics NVIDIA Jetson Nano Deployment Kit (B01-4GB)","description":"\u003cp bis_size='{\"x\":12,\"y\":16,\"w\":550,\"h\":0,\"abs_x\":570,\"abs_y\":317}'\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":16,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":317}'\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cstrong data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":17,\"w\":508,\"h\":56,\"abs_x\":570,\"abs_y\":318}'\u003eThis Advanced ThinkRobotics NVIDIA Jetson Nano Development Kit (4GB) comes with an interface rich J202 carrier board from SEEED studio, with Jetpack preinstalled. \u003c\/strong\u003e\u003c\/p\u003e\n\u003cblockquote bis_size='{\"x\":52,\"y\":90,\"w\":470,\"h\":39,\"abs_x\":610,\"abs_y\":391}'\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":52,\"y\":90,\"w\":470,\"h\":39,\"abs_x\":610,\"abs_y\":391}'\u003e\u003cspan style=\"color: #c20000;\" bis_size='{\"x\":52,\"y\":91,\"w\":426,\"h\":36,\"abs_x\":610,\"abs_y\":392}'\u003eThis is product is manufactured in India, with more than 40% local procurement. \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":145,\"w\":550,\"h\":78,\"abs_x\":570,\"abs_y\":446}'\u003eThe reComputer J202 carrier board has nearly the same design and function as NVIDIA® Jetson Xavier NX™ carrier board, perfectly works with Jetson Nano\/Xavier NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":240,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":541}'\u003eThe carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":295,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":596}'\u003e\u003cspan style=\"color: #ff2a00;\" bis_size='{\"x\":12,\"y\":296,\"w\":542,\"h\":36,\"abs_x\":570,\"abs_y\":597}'\u003eNOTE: DELIVERY TIME CAN VARY BETWEEN 7 to 10 BUSINESS DAYS. For assembly, programming and case design, please contact us.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":350,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":651}'\u003e\u003cspan style=\"color: #ff2a00;\" bis_size='{\"x\":12,\"y\":351,\"w\":531,\"h\":36,\"abs_x\":570,\"abs_y\":652}'\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan bis_size='{\"x\":12,\"y\":351,\"w\":531,\"h\":36,\"abs_x\":570,\"abs_y\":652}'\u003eThe carrier board and modules come with a 1 year manufacturer's limited warranty supported by ThinkRobotics.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":405,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":706}'\u003e\u003cstrong bis_size='{\"x\":12,\"y\":406,\"w\":180,\"h\":17,\"abs_x\":570,\"abs_y\":707}'\u003e\u003cspan style=\"color: #000000;\" bis_size='{\"x\":12,\"y\":406,\"w\":180,\"h\":17,\"abs_x\":570,\"abs_y\":707}'\u003ePlease note Case Options:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul bis_size='{\"x\":12,\"y\":441,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":742}'\u003e\n\u003cli bis_size='{\"x\":52,\"y\":441,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":742}'\u003e\u003cspan style=\"color: #000000;\" bis_size='{\"x\":52,\"y\":442,\"w\":384,\"h\":17,\"abs_x\":610,\"abs_y\":743}'\u003ePassive HeatSink comes with a PLA 3D Printed Plastic Case\u003c\/span\u003e\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":461,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":762}'\u003e\n\u003cspan style=\"color: #000000;\" bis_size='{\"x\":52,\"y\":462,\"w\":362,\"h\":17,\"abs_x\":610,\"abs_y\":763}'\u003eActive HeatSink comes with a CF Nylon 3D Printed Case\u003c\/span\u003e\u003cbr bis_size='{\"x\":414,\"y\":462,\"w\":0,\"h\":17,\"abs_x\":972,\"abs_y\":763}'\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" bis_size='{\"x\":12,\"y\":494,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":795}'\u003eFeatures\u003c\/h3\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":6592,\"abs_x\":570,\"abs_y\":832}'\u003e\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":6592,\"abs_x\":570,\"abs_y\":832}'\u003e\n\u003cul bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":176,\"abs_x\":570,\"abs_y\":832}'\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":531,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":832}'\u003ePerfectly suited: Design for \u003cstrong bis_size='{\"x\":231,\"y\":532,\"w\":158,\"h\":17,\"abs_x\":789,\"abs_y\":833}'\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":551,\"w\":510,\"h\":58,\"abs_x\":610,\"abs_y\":852}'\u003e\n\u003cstrong bis_size='{\"x\":52,\"y\":552,\"w\":263,\"h\":17,\"abs_x\":610,\"abs_y\":853}'\u003eDeveloper Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":609,\"w\":510,\"h\":58,\"abs_x\":610,\"abs_y\":910}'\u003e\n\u003cstrong bis_size='{\"x\":52,\"y\":610,\"w\":112,\"h\":17,\"abs_x\":610,\"abs_y\":911}'\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":668,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":969}'\u003e\n\u003cstrong bis_size='{\"x\":52,\"y\":669,\"w\":104,\"h\":17,\"abs_x\":610,\"abs_y\":970}'\u003eHigh versatility\u003c\/strong\u003e: Suitable for complicated AI graphical applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":688,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":989}'\u003eComprehensive certificates: FCC, CE, RoHS, KC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" bis_size='{\"x\":12,\"y\":721,\"w\":550,\"h\":1223,\"abs_x\":570,\"abs_y\":1022}'\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" bis_size='{\"x\":12,\"y\":721,\"w\":1200,\"h\":1200,\"abs_x\":570,\"abs_y\":1022}' data-mce-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\"\u003e\u003c\/h2\u003e\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\u003eDescription\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":1995,\"w\":550,\"h\":97,\"abs_x\":570,\"abs_y\":2296}'\u003e\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":1995,\"w\":550,\"h\":97,\"abs_x\":570,\"abs_y\":2296}'\u003ereComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano \/ Xavier NX compatible carrier board, providing \u003cstrong bis_size='{\"x\":12,\"y\":2016,\"w\":543,\"h\":36,\"abs_x\":570,\"abs_y\":2317}'\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan\u003c\/strong\u003e, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" bis_size='{\"x\":70,\"y\":2075,\"w\":161,\"h\":17,\"abs_x\":628,\"abs_y\":2376}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":70,\"y\":2075,\"w\":157,\"h\":17,\"abs_x\":628,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":70,\"y\":2075,\"w\":157,\"h\":17,\"abs_x\":628,\"abs_y\":2376}'\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":227,\"y\":2075,\"w\":3,\"h\":17,\"abs_x\":785,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":227,\"y\":2075,\"w\":3,\"h\":17,\"abs_x\":785,\"abs_y\":2376}'\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":231,\"y\":2075,\"w\":127,\"h\":17,\"abs_x\":789,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":231,\"y\":2075,\"w\":127,\"h\":17,\"abs_x\":789,\"abs_y\":2376}'\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"p\" bis_size='{\"x\":12,\"y\":2109,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":2410}'\u003eFunctionality\u003c\/h3\u003e\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2143,\"w\":550,\"h\":78,\"abs_x\":570,\"abs_y\":2444}'\u003eWith the NVIDIA Jetson module assembled, it could support \u003cstrong bis_size='{\"x\":402,\"y\":2144,\"w\":108,\"h\":17,\"abs_x\":960,\"abs_y\":2445}'\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" bis_size='{\"x\":402,\"y\":2144,\"w\":108,\"h\":17,\"abs_x\":960,\"abs_y\":2445}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.\u003c\/p\u003e\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2237,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":2538}'\u003eWith its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. \u003c\/p\u003e\n\u003ch3 bis_size='{\"x\":12,\"y\":2312,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":2613}'\u003eSpecifications:\u003c\/h3\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":2349,\"w\":550,\"h\":254,\"abs_x\":570,\"abs_y\":2650}'\u003e\n\u003cul bis_size='{\"x\":12,\"y\":2349,\"w\":550,\"h\":254,\"abs_x\":570,\"abs_y\":2650}'\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2349,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2650}'\u003eModule Compatibility: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" bis_size='{\"x\":196,\"y\":2350,\"w\":92,\"h\":17,\"abs_x\":754,\"abs_y\":2651}' target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/ \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" bis_size='{\"x\":297,\"y\":2350,\"w\":63,\"h\":17,\"abs_x\":855,\"abs_y\":2651}' target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2368,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2669}'\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2388,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2689}'\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2408,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2709}'\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2427,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2728}'\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2447,\"w\":510,\"h\":39,\"abs_x\":610,\"abs_y\":2748}'\u003eUSB: 4x USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano); 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2486,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2787}'\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr bis_size='{\"x\":225,\"y\":2487,\"w\":0,\"h\":17,\"abs_x\":783,\"abs_y\":2788}'\u003e\n\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2506,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2807}'\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2525,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2826}'\u003e1x CAN\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2545,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2846}'\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2564,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2865}'\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli bis_size='{\"x\":52,\"y\":2584,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2885}'\u003ePower supply: 12V\/6A(Barrel Jack 5.5\/2.1mm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2618,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":2919}'\u003e \u003c\/p\u003e\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":2653,\"w\":550,\"h\":422,\"abs_x\":570,\"abs_y\":2954}'\u003e\n\u003ch2 dir=\"ltr\" bis_size='{\"x\":12,\"y\":2653,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2954}'\u003eEdge AI Applications\u003c\/h2\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":12,\"y\":2693,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":2994}'\u003eWork with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.\u003c\/p\u003e\n\u003cul bis_size='{\"x\":12,\"y\":2768,\"w\":550,\"h\":233,\"abs_x\":570,\"abs_y\":3069}'\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2768,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3069}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2768,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3069}'\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" bis_size='{\"x\":52,\"y\":2769,\"w\":244,\"h\":17,\"abs_x\":610,\"abs_y\":3070}' data-mce-href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2803,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3104}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2803,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3104}'\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" bis_size='{\"x\":52,\"y\":2804,\"w\":120,\"h\":17,\"abs_x\":610,\"abs_y\":3105}' data-mce-href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2839,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3140}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2839,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3140}'\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" bis_size='{\"x\":52,\"y\":2840,\"w\":193,\"h\":17,\"abs_x\":610,\"abs_y\":3141}' data-mce-href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2875,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3176}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2875,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3176}'\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" bis_size='{\"x\":52,\"y\":2876,\"w\":355,\"h\":17,\"abs_x\":610,\"abs_y\":3177}' data-mce-href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2910,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3211}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2910,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3211}'\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" bis_size='{\"x\":52,\"y\":2911,\"w\":176,\"h\":17,\"abs_x\":610,\"abs_y\":3212}' data-mce-href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2946,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3247}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2946,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3247}'\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" bis_size='{\"x\":52,\"y\":2947,\"w\":114,\"h\":17,\"abs_x\":610,\"abs_y\":3248}' data-mce-href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2981,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3282}'\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2981,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3282}'\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" bis_size='{\"x\":52,\"y\":2982,\"w\":108,\"h\":17,\"abs_x\":610,\"abs_y\":3283}' data-mce-href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\" bis_size='{\"x\":12,\"y\":3017,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":3318}'\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" bis_size='{\"x\":83,\"y\":3018,\"w\":192,\"h\":17,\"abs_x\":641,\"abs_y\":3319}' data-mce-href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" bis_size='{\"x\":12,\"y\":3038,\"w\":505,\"h\":36,\"abs_x\":570,\"abs_y\":3339}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e page to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":3092,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":3393}'\u003ePlease also check out \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" bis_size='{\"x\":155,\"y\":3093,\"w\":116,\"h\":17,\"abs_x\":713,\"abs_y\":3394}' data-mce-href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong bis_size='{\"x\":155,\"y\":3093,\"w\":116,\"h\":17,\"abs_x\":713,\"abs_y\":3394}'\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e including getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":3131,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":3432}'\u003e\u003cbr bis_size='{\"x\":12,\"y\":3132,\"w\":0,\"h\":17,\"abs_x\":570,\"abs_y\":3433}'\u003e\u003c\/div\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":3151,\"w\":550,\"h\":1220,\"abs_x\":570,\"abs_y\":3452}'\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" height=\"1200\" width=\"1200\" class=\"lazy\" bis_size='{\"x\":12,\"y\":3151,\"w\":1200,\"h\":1200,\"abs_x\":570,\"abs_y\":3452}' data-mce-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":4371,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":4672}'\u003e\u003cbr bis_size='{\"x\":12,\"y\":4372,\"w\":0,\"h\":17,\"abs_x\":570,\"abs_y\":4673}'\u003e\u003c\/div\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\u003e\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":4692}'\u003eComparison with NVIDIA Xavier NX Dev Kit carrier boards\u003c\/h3\u003e\n\u003cp bis_size='{\"x\":12,\"y\":4424,\"w\":550,\"h\":864,\"abs_x\":570,\"abs_y\":4725}'\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" height=\"860\" width=\"860\" class=\"lazy\" bis_size='{\"x\":12,\"y\":4424,\"w\":860,\"h\":860,\"abs_x\":570,\"abs_y\":4725}' data-mce-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 bis_size='{\"x\":12,\"y\":5305,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":5606}'\u003e Hardware Overview\u003c\/h3\u003e\n\u003cp bis_size='{\"x\":12,\"y\":5338,\"w\":550,\"h\":904,\"abs_x\":570,\"abs_y\":5639}'\u003e\u003cimg class=\"lazy\" width=\"900\" height=\"900\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" bis_size='{\"x\":12,\"y\":5338,\"w\":900,\"h\":900,\"abs_x\":570,\"abs_y\":5639}' data-mce-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\"\u003e\u003c\/p\u003e\n\u003cp bis_size='{\"x\":12,\"y\":6259,\"w\":550,\"h\":864,\"abs_x\":570,\"abs_y\":6560}'\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" bis_size='{\"x\":12,\"y\":6259,\"w\":860,\"h\":860,\"abs_x\":570,\"abs_y\":6560}' data-mce-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Passive \/ Not Included","offer_id":40067918168150,"sku":"SBC1026-0","price":28749.99,"currency_code":"INR","in_stock":false},{"title":"Passive \/ 12V 6A","offer_id":40067937108054,"sku":"SBC1026-1","price":29999.99,"currency_code":"INR","in_stock":false},{"title":"Active \/ Not Included","offer_id":40067918200918,"sku":"SBC1026-2","price":29749.99,"currency_code":"INR","in_stock":false},{"title":"Active \/ 12V 6A","offer_id":40067937239126,"sku":"SBC1026-3","price":30999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC1026-2.png?v=1663834556"},{"product_id":"usb-audio-codec-for-jetson-nano-online","title":"USB Audio Codec for Jetson Nano","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eUSB Audio Codec Designed For Jetson Nano, USB Sound Card, Driver-Free, Plug And Play\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3 class=\"richDesc\" style=\"text-align: center;\"\u003eRecording And Playback Support, Built-In Microphone And Speaker Header\u003cbr\u003eDemo Codes For Speech Synthesis, Speech Dictation, Speech Wake-Up, And Speech Dialog\u003c\/h3\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Audio-Card-for-Jetson-Nano-details-1.jpg?v=1665087182\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"richTitle\" style=\"text-align: left;\"\u003eFeatures At A Glance\u003c\/h3\u003e\n\u003cdiv class=\"alignl subBlock bgGrey\" style=\"text-align: left;\"\u003e\n\u003cul\u003e\n\u003cli\u003eUSB connector, suits Jetson Nano Developer Kit series, multi systems compatible\u003c\/li\u003e\n\u003cli\u003eIncorporates SSS1629 audio chip, using USB bus, driver-free, plug and play\u003c\/li\u003e\n\u003cli\u003e2x quality MEMS si-microphone, dual sound track recording, better sound quality\u003c\/li\u003e\n\u003cli\u003eStandard 3.5mm audio jack for connecting earphone\u003c\/li\u003e\n\u003cli\u003eDual channel speaker header for direct driving speakers, with volume adjustment knob\u003c\/li\u003e\n\u003cli\u003eProviding demo codes for speech synthesis, speech dictation, speech wake-up, and speech dialog\u003c\/li\u003e\n\u003cli\u003eComes with development resources and user manual\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e1x Audio Card for Jetson Nano\u003c\/li\u003e\n\u003cli\u003e1x 8Ω 5W speaker\u003c\/li\u003e\n\u003cli\u003e1x Jetson Nano USB Adapter\u003c\/li\u003e\n\u003cli\u003e1x Screws pack\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eWhat Can It Do?\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003eAs We Know, There's No Audio Output From The Jetson Nano Developer Kit, And This Module Is Designed To Fit The Puzzle With Capabilities Like Sound Collection, Music Playback, Speech Recognition, Robot Dialog, And So On...\u003c\/p\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-2.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eMore Than A Sound Card\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eIncorporate Snowboy Hotword Detection Engine And Google Assistant Service\u003cbr\u003eProviding Detailed Example For Speech Dialog\u003c\/p\u003e\n\u003cp class=\"richDesc\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-7.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eTailored For Jetson Nano\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eStandard USB2.0 Connector, Driver-Free, Plug And Play, Multi Systems Compatible\u003c\/p\u003e\n\u003cp class=\"richDesc\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-3.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eMEMS Mic \u0026amp; Earphone\/Speaker Connector\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eOnboard Quality MEMS Si-Microphone, 3.5mm Audio Jack, \u003cbr\u003eAnd Speaker Header\u003cspan\u003e \u003c\/span\u003e\u003cspan class=\"subBlock\"\u003e(Comes With 8Ω 5W Stereo Speaker)  \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan class=\"subBlock\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-5.jpg\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 class=\"richDesc\"\u003e\u003cspan class=\"subBlock\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eWhat's On Board\u003c\/span\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"subBlock\"\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-intro.jpg\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003col\u003e\n\u003cli style=\"text-align: left;\"\u003eEEPROM\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eSSS1629 audio chip\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003ePAM8403 power amplifier\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eMEMS si-microphone\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eSpeaker volume adjustment knob\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e3.5mm audio jack\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eUSB connector\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eSpeaker header\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch2 class=\"richTitle\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Audio-Card-for-Jetson-Nano\/Audio-Card-for-Jetson-Nano-details-size.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: left;\"\u003eResources:\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Audio_Card_for_Jetson_Nano\" target=\"_blank\"\u003eAudio_Card_for_Jetson_Nano\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40090317422678,"sku":"WVSH0363","price":2099.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/audio-card-for-jetson-nano-5.jpg?v=1683904915"},{"product_id":"environment-sensors-module-for-jetson-nano-online","title":"Environment Sensors Module for Jetson Nano","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eEnvironment Sensors Module Designed For Jetson Nano, I2C Bus, With 1.3inch OLED Display\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eThis environment sensors module gives Jetson Nano Developer Kit the ability to collect environment data like temperature \u0026amp; humidity, air pressure, ambient light intensity, VOC, IR ray, UV ray, etc. It can also be used to build a robot that can detect motion and orientation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Environment-Sensor-for-Jetson-Nano\/Environment-Sensor-for-Jetson-Nano-details-1.jpg\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan class=\"mw-headline\" id=\"Features\"\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOnboard TSL25911FN digital ambient light sensor, for measuring IR and visible light.\u003c\/li\u003e\n\u003cli\u003eOnboard BME280 sensor, for measuring temperature, humidity, and air pressure.\u003c\/li\u003e\n\u003cli\u003eOnboard ICM20948 motion sensor, accelerometer, gyroscope, and magnetometer.\u003c\/li\u003e\n\u003cli\u003eOnboard Si1145 sensor, for measuring IR\/UV rays.\u003c\/li\u003e\n\u003cli\u003eOnboard SGP40 sensor, for detecting ambient VOC.\u003c\/li\u003e\n\u003cli\u003eOnboard 1.3inch OLED display, for displaying environment data in real time. \u003c\/li\u003e\n\u003cli\u003eI2C bus, allows reading and displaying data by just using two wires. \u003c\/li\u003e\n\u003cli\u003eComes with development resources and user manual (python examples). \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan class=\"mw-headline\" id=\"Parameter\"\u003eParameter\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable class=\"wikitable\"\u003e\n\u003ctbody\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eTSL25911FN DIGITAL AMBIENT LIGHT SENSOR\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x29\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eEffective range\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0~88000Lux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eBME280 TEMPERATURE, HUMIDITY, AND AIR PRESSURE SENSOR\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eTemperature detection\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e-40 ~ 85℃ (0.01℃ resolution, ±1℃ accuracy)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eHumidity detection\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0~100%RH (0.008%RH resolution, ±3%RH accuracy, 1s response time, ≤2%RH delay)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eAir pressure detection\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e300~1100hPa (0.18Pa resolution, ±1hPa accuracy)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eICM20948 MOTION SENSOR\u003cbr\u003e\u003c\/b\u003e(9-DOF: 3-AXIS ACCELEROMETER, 3-AXIS GYROSCROPE, 3-AXIS MAGNETOMETER)\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x68\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eAccelerometer resolution\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e16-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eAccelerometer range (configurable)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003e±2, ±4, ±8, ±16g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eWCDMA\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003eB1, B3, B5, B8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eGyroscope resolution\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e16-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eGyroscope range (configurable)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e±250, ±500, ±1000, ±2000°\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eMagnetometer resolution\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e16-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eMagnetometer range\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e±4900µT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eSI1145 IR\/UV SENSOR\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eResponse wavelength\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e280nm - 950nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eSGP40 VOC SENSOR\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x59\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eMeasuring range\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0 ~ 1,000 ppm ethanol equivalent\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eLimit condition\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e\u0026lt; 0.05 ppm ethanol equivalent OR \u0026lt; 10 % preset concentration point (the larger one should prevail)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eResponse time\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e\u0026lt; 10 s (tau 63 %)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eStart time\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e\u0026lt; 60 s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003eOn-chip humidity compensation support\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr align=\"center\"\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cb\u003eOLED DISPLAY\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eI2C address\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e0x3C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eDriver IC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003eSH1106\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eResolution\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003e128x64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003e\n\u003cp\u003eDisplay color\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd align=\"center\"\u003eblue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg data-mce-fragment=\"1\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Environment-Sensor-for-Jetson-Nano\/Environment-Sensor-for-Jetson-Nano-details-3.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eTailored For Jetson Nano\u003c\/span\u003e \u003c\/h2\u003e\n\u003cp\u003e \u003cmeta charset=\"utf-8\"\u003e\u003cimg data-mce-fragment=\"1\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Environment-Sensor-for-Jetson-Nano\/Environment-Sensor-for-Jetson-Nano-details-5.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eWhat's On Board\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Environment-Sensor-for-Jetson-Nano\/Environment-Sensor-for-Jetson-Nano-details-intro.jpg\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eTSL25911FN\u003c\/strong\u003e\u003cbr\u003edigital ambient light sensor, for measuring IR and visible light\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSGP40\u003c\/strong\u003e\u003cbr\u003eVOC sensor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSi1145\u003c\/strong\u003e\u003cbr\u003eIR\/UV sensor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eICM20948\u003c\/strong\u003e\u003cbr\u003e3-axis accelerometer, 3-axis gyroscrope, 3-axis magnetometer\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBME280\u003cbr\u003e\u003c\/strong\u003etemperature, humidity, and air pressure sensor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.3inch OLED\u003cbr\u003e\u003c\/strong\u003e128x64 resolution\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoltage level translator\u003cbr\u003e\u003c\/strong\u003e5V to 3.3V\/1.8V\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003eOutline Dimensions\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Environment-Sensor-for-Jetson-Nano\/Environment-Sensor-for-Jetson-Nano-details-size.jpg\"\u003e\u003cmeta charset=\"utf-8\"\u003eResources\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eWiki: \u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Environment_Sensor_for_Jetson_Nano\" target=\"_blank\"\u003eEnvironment_Sensor_for_Jetson_Nano\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40090451378262,"sku":"WVSH0364","price":6249.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/environment-sensor-for-jetson-nano-1.jpg?v=1665089825"},{"product_id":"imx179-8mp-usb-camera-with-embedded-mic-online","title":"IMX179 8MP USB Camera with Embedded Mic","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX179 8MP USB Camera, Ultra High Definition, Embedded Mic, Driver-Free\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eUSB Camera, IMX179 sensor. 8 megapixel. Supports UVC protocol.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e8 megapixel IMX179 sensor\u003c\/li\u003e\n\u003cli\u003e3288x2512 resolution\u003c\/li\u003e\n\u003cli\u003eUSB interface, UVC protocol, driver-free, plug-and-play\u003c\/li\u003e\n\u003cli\u003eSupports Raspberry Pi and Jetson Nano\u003c\/li\u003e\n\u003cli\u003eDSP\n\u003cul\u003e\n\u003cli\u003eAutomatic white balance (AWB) \u003c\/li\u003e\n\u003cli\u003eAutomatic exposure (AEC) \u003c\/li\u003e\n\u003cli\u003eAutomatic gain control (AGC) \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eCamera specifications\n\u003cul\u003e\n\u003cli\u003eCCD size: 1\/3.2inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 1.8\u003c\/li\u003e\n\u003cli\u003eFocal Length: 2.8mm\u003c\/li\u003e\n\u003cli\u003eField of View (Diagonal): 145°\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eMic specifications\n\u003cul\u003e\n\u003cli\u003eSensitivity: -26dB (1kHz 1Pa)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eInterface: USB2.0\u003c\/li\u003e\n\u003cli\u003eImage formats: MJPEG, YUY2\u003c\/li\u003e\n\u003cli\u003eOperating temperature: 0°C ~ 50°C\u003c\/li\u003e\n\u003cli\u003eDimension: 38mmx38mm\u003c\/li\u003e\n\u003cli\u003eSupported OS: Windows, Linux\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cul\u003e\n\u003cli\u003e1x IMX179 8MP USB Camera (A)\u003c\/li\u003e\n\u003cli\u003e1x USB to 4-pin cable\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eWeight:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.049 kg\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003ch3\u003eDevelopment Resources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki :\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX179_8MP_USB_Camera_(A)\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX179_8MP_USB_Camera_(A)\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096214319190,"sku":"WVSH0365","price":5149.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/3b316c43-b657-43eb-a2dc-371a1fc5257a.jpg?v=1665188760"},{"product_id":"imx219-120-camera-for-jetson-nano-online","title":"IMX219-120 Camera for Jetson Nano 120° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eIMX219-120 Camera, For Jetson Nano, 8 Megapixels, 120° FOV\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eIMX219 Camera, 8 megapixels and 120 FOV. Compatible with Jetson nano. You can also use it with CM3\/CM3+ expansion boards like the official Compute Module IO board, Compute Module IO Board Plus, Compute Module POE Board of Waveshare, and the StereoPi board.\u003c\/span\u003e \u003cmeta charset=\"utf-8\"\u003e\u003c\/p\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupports Compute Module CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003e8 Megapixels\u003c\/li\u003e\n\u003cli\u003eSensor: IMX219 \u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464 \u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.0\u003c\/li\u003e\n\u003cli\u003eFocal Length: 1.79mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 120 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt;13.6%\u003c\/li\u003e\n\u003cli\u003eLens dimensions: 6.5mm × 6.5mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 25mm × 24mm\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: 0°  -  60° \u003c\/li\u003e\n\u003cli\u003ePackage Contains: IMX219-120 Camera x1\u003cbr\u003e15-pin FFC (opposite sides contact) x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cp\u003eCombined with the Jetson Nano AI computer, this camera suits for AI projects such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFace recognition\u003c\/li\u003e\n\u003cli\u003eRoad mark detection\u003c\/li\u003e\n\u003cli\u003eLicense plate recognition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eDevelopment Resources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-120_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-120_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096217432150,"sku":"WVSH0366","price":1899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-120-camera-3.jpg?v=1665189476"},{"product_id":"imx219-160-camera-with-160-fov-for-jetson-nano-online","title":"IMX219-160 Camera, 160° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX219-160 Camera, Applicable For Jetson Nano, 8 Megapixels, 160° FOV\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupports CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003e8 Megapixels\u003c\/li\u003e\n\u003cli\u003eSensor: IMX219\u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.35\u003c\/li\u003e\n\u003cli\u003eFocal Length: 3.15mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 160 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt;14.3%\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 25mm × 24mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli\u003e1x 15-pin FFC (opposite sides contact)\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cp\u003eCombined with the Jetson Nano AI computer, this camera suits for AI projects such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFace recognition\u003c\/li\u003e\n\u003cli\u003eRoad mark detection \u003c\/li\u003e\n\u003cli\u003eLicense plate recognition \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eDevelopment Resources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-160_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-160_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096240205910,"sku":"WVSH0367","price":2299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-160_camera.jpg?v=1665191463"},{"product_id":"imx219-160-8mp-ir-cut-camera-online","title":"IMX219-160 8MP IR-CUT Camera, 162° FOV","description":"\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eIMX219-160 8MP IR-CUT Camera, IR-CUT Infrared Night Vision, 162° FOV, For Compute Module \/ Jetson Nano \/ Jetson Xavier NX\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e Eliminating The Reddish Issue Of Normal IR Cameras On Daylight\u003c\/span\u003e\u003c\/h3\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-160-IR-CUT-Camera\/IMX219-160-IR-CUT-Camera-details-1.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003ePIXELS\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e8MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSENSOR\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eIMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"6\"\u003eCAMERA\u003c\/th\u003e\n\u003ctd\u003eSensor size\u003c\/td\u003e\n\u003ctd\u003e1\/4 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAperture (F)\u003c\/td\u003e\n\u003ctd\u003e2.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eResolution\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocal length (BFL)\u003c\/td\u003e\n\u003ctd\u003e1.75\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd\u003e162.4°(D) 124°(H) 91°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistortion\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;-22.7%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e4X MOUNTING HOLES\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eused for attachment\u003cbr\u003eprovides 3.3V power output\u003cbr\u003esupports connecting infrared LED and\/or fill flash LED \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOPERATING VOLTAGE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e3.3V \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eAPPLICATIONS\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003esuitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eWorking With Jetson Nano\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003eJetson Nano Developer Kit B01 (Left) And Jetson Nano 2GB Developer Kit (Right)\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-160-IR-CUT-Camera\/IMX219-160-IR-CUT-Camera-details-3.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eWorking With Raspberry Pi Compute Module\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003eCompatible With Raspberry Pi Compute Module CM3 \/ CM3+ \/ CM4\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-160-IR-CUT-Camera\/IMX219-160-IR-CUT-Camera-details-5.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-160-IR-CUT-Camera\/IMX219-160-IR-CUT-Camera-details-7.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch3 class=\"richTitle\" style=\"text-align: center;\"\u003eDimensions\u003c\/h3\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-160-IR-CUT-Camera\/IMX219-160-IR-CUT-Camera-details-size.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"richTitle\"\u003eResources\u003c\/h3\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-160_IR-CUT_Camera\" target=\"_blank\"\u003eIMX219-160_IR-CUT_Camera\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096247971926,"sku":"WVSH0368","price":2999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-160-ir-cut-camera-1.jpg?v=1665192533"},{"product_id":"imx219-170-camera-with-170-fov-for-jetson-nano-online","title":"IMX219-170 Camera, 170° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX219-170 Camera, Applicable For Jetson Nano, 8 Megapixels, 170° FOV\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupports CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003e8 Megapixels \u003c\/li\u003e\n\u003cli\u003eSensor: IMX219 \u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464 \u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.4\u003c\/li\u003e\n\u003cli\u003eFocal Length: 2.2mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 170 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt;22%\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 32mm × 32mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e1x IMX219-170 Camera\u003c\/li\u003e\n\u003cli\u003e1x 15-pin FFC (opposite sides contact)\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cp\u003eCombined with the Jetson Nano AI computer, this camera suits for AI projects such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFace recognition\u003c\/li\u003e\n\u003cli\u003eRoad mark detection\u003c\/li\u003e\n\u003cli\u003eLicense plate recognition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eResources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-170_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-170_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096253542486,"sku":"WVSH0369","price":2699.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-170-camera-3.jpg?v=1665192874"},{"product_id":"imx219-200-camera-for-jetson-nano-online","title":"IMX219-200 Camera, 200° FOV","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX219-200 Camera, Applicable For Jetson Nano, 8 Megapixels, 200° FOV\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupports CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003e8 Megapixels\u003c\/li\u003e\n\u003cli\u003eSensor: IMX219\u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch \u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.0 \u003c\/li\u003e\n\u003cli\u003eFocal Length: 0.87mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 200 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt;11%\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 25mm × 24mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e1x IMX219-200 Camera\u003c\/li\u003e\n\u003cli\u003e1x 15-pin FFC (opposite sides contact) - 16cm long.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cp\u003eCombined with the Jetson Nano AI computer, this camera suits for AI projects such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFace recognition\u003c\/li\u003e\n\u003cli\u003eRoad mark detection\u003c\/li\u003e\n\u003cli\u003eLicense plate recognition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eResources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX219-200_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-200_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096259604566,"sku":"WVSH0370","price":2999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-200-camera-3.jpg?v=1665193312"},{"product_id":"imx219-77-camera-for-jetson-nano-online","title":"IMX219-77 Camera","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX219-77 Camera, Applicable For Jetson Nano, 8 Megapixels, 77° FOV\u003cmeta charset=\"utf-8\"\u003e\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003eIMX219-77 Camera Features\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupports CM3\/3+\/4, Jetson Nano, Jetson Xavier NX\u003c\/li\u003e\n\u003cli\u003e8 Megapixels\u003c\/li\u003e\n\u003cli\u003eSensor: Sony IMX219\u003c\/li\u003e\n\u003cli\u003eResolution: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003eLens specifications:\n\u003cul\u003e\n\u003cli\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli\u003eAperture (F): 2.0\u003c\/li\u003e\n\u003cli\u003eFocal Length: 2.85mm\u003c\/li\u003e\n\u003cli\u003eAngle of View (diagonal): 79.3 degree\u003c\/li\u003e\n\u003cli\u003eDistortion: \u0026lt; 1%\u003c\/li\u003e\n\u003cli\u003eLens dimensions: 6.5mm × 6.5mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e4 screw holes\n\u003cul\u003e\n\u003cli\u003eUsed for attachment\u003c\/li\u003e\n\u003cli\u003eProvides 3.3V power output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eDimension: 25mm × 24mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003ePackage Contains:\u003c\/h3\u003e\n\u003col\u003e\n\u003cli\u003e1x IMX219-77 Camera\u003c\/li\u003e\n\u003cli\u003e1x 15-pin FFC (opposite sides contact)\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cp\u003eCombined with the Jetson Nano AI computer, this camera suits for AI projects such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFace recognition \u003c\/li\u003e\n\u003cli\u003eRoad mark detection \u003c\/li\u003e\n\u003cli\u003eLicense plate recognition \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eResources\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/IMX219-77_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-77_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096262455382,"sku":"WVSH0371","price":1699.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-77-camera-5_3.jpg?v=1665193789"},{"product_id":"imx219-83-stereo-camera-module-online","title":"IMX219-83 Stereo Camera, 8MP Binocular Camera Module","description":"\u003cp\u003e \u003c\/p\u003e\n\u003ch2 data-mce-fragment=\"1\" style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eBinocular Camera Module, Dual IMX219, 8 Megapixels, Stereo Vision, Depth Vision\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis is a binocular camera module which features dual IMX219 cameras onboard, 8Megapixels of each camera. It is suitable for AI vision applications like depth vision and stereo vision.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThe module supports NVIDIA Jetson Nano Developer Kit B01 version, Jetson Xavier NX Developer Kit, as well as Raspberry Pi CM3\/CM3+ expansion boards like Compute Module IO Board Plus, Compute Module POE Board, etc.\u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e8 Megapixels\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSensor: IMX219\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResolution: 3280 × 2464 (per camera)\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLens specifications:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eCMOS size: 1\/4inch\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFocal Length: 2.6mm\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAngle of View: 83\/73\/50 degree (diagonal\/horizontal\/vertical)\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDistortion: \u0026lt;1%\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBaseline Length: 60mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eICM20948:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAccelerometer:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResolution: 16-bit\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMeasuring Range (configurable): ±2, ±4, ±8, ±16g\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eOperating Current: 68.9uA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGyroscope:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResolution: 16-bit\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMeasuring Range (configurable): ±250, ±500, ±1000, ±2000°\/sec\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eOperating Current: 1.23mA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMagnetometer:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResolution: 16-bit\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMeasuring Range: ±4900μT \u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eOperating Current: 90uA \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDimension: 24mm × 85mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eApplications\u003c\/h3\u003e\n\u003cp data-mce-fragment=\"1\"\u003eAI vision applications like depth vision and stereo vision.\u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eExample\u003c\/h3\u003e\n\u003cdiv data-mce-fragment=\"1\" style=\"text-align: center;\"\u003e\u003cimg data-mce-fragment=\"1\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-83-Stereo-Camera\/IMX219-83-Stereo-Camera-4_960.jpg\" alt=\"IMX219-83 Stereo Camera dimensions\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\" class=\"note\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNote: for reference only, Jetson Nano Developer Kit (B01) is NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDimensions\u003c\/h3\u003e\n\u003cdiv data-mce-fragment=\"1\" style=\"text-align: center;\"\u003e\u003cimg data-mce-fragment=\"1\" style=\"float: none;\" alt=\"IMX219-83 Stereo Camera dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX219-83-Stereo-Camera\/IMX219-83-Stereo-Camera-size.jpg\"\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eResources\u003c\/h3\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eWiki:\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca data-mce-fragment=\"1\" href=\"http:\/\/www.waveshare.com\/wiki\/IMX219-83_Stereo_Camera\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/IMX219-83_Stereo_Camera\u003c\/a\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096264749142,"sku":"WVSH0372","price":6599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx219-83-stereo-camera-2.jpg?v=1665194050"},{"product_id":"imx258-13mp-usb-camera-with-ois-online","title":"IMX258 13MP OIS USB Camera with Optical Image Stabilization","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX258 13MP USB Camera, Optical Image Stabilization, Plug-And-Play, Driver Free, \u003cmeta charset=\"utf-8\"\u003eAuto Focusing\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle textUpper\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX258-13MP-OIS-USB-Camera-A\/IMX258-13MP-OIS-USB-Camera-A-details-1.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: left;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003ePIXELS\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e13MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSENSOR\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eIMX258\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSTABILIZATION\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eMicro Gimbal Stabilizer (MGS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eINTERFACE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eUSB2.0 (UVC 1.0 compliant)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"5\"\u003eCAMERA\u003c\/th\u003e\n\u003ctd\u003eSensor size\u003c\/td\u003e\n\u003ctd\u003e1\/3.06 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAperture (F) \u003c\/td\u003e\n\u003ctd\u003e2.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocal length (EFL) \u003c\/td\u003e\n\u003ctd\u003e2.35 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd\u003e127°(D) 99.5°(H) 70°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocusing\u003c\/td\u003e\n\u003ctd\u003eauto focusing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"3\"\u003eIMAGE\u003c\/th\u003e\n\u003ctd\u003eFormat support\u003c\/td\u003e\n\u003ctd\u003eMJPG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStatic image resolution\u003c\/td\u003e\n\u003ctd\u003e4224 × 3192\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo recording\u003c\/td\u003e\n\u003ctd\u003e10 FPS 4192 × 3104\u003cbr\u003e20 FPS 3840 × 2160\u003cbr\u003e25 FPS 1920 × 1080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOPERATING VOLTAGE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e5V ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCAMERA SIZE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e19.00 × 19.00 × 9.90 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMODULE SIZE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e38.00 × 35.80 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eOptical Image Stabilization Feature\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eOIS Camera (Left) VS Non-OIS Camera (Right)\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX258-13MP-OIS-USB-Camera-A\/IMX258-13MP-OIS-USB-Camera-A-details-3.gif\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eConnecting With USB Cable\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX258-13MP-OIS-USB-Camera-A\/IMX258-13MP-OIS-USB-Camera-A-details-5.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX258-13MP-OIS-USB-Camera-A\/IMX258-13MP-OIS-USB-Camera-A-details-size.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX258_13MP_OIS_USB_Camera_(A)\" target=\"_blank\"\u003eIMX258_13MP_OIS_USB_Camera_(A)\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096267272278,"sku":"WVSH0373","price":11149.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/imx258-13mp-ois-usb-camera-a-3_1.jpg?v=1728349350"},{"product_id":"imx335-5mp-usb-camera-large-aperture-2k-video-recording","title":"IMX335 5MP USB Camera, Large Aperture, 2K Video Recording","description":"\u003ch2 style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003eIMX335 5MP USB Camera, Large Aperture F1.08, 30FPS 2K Video Recording, Plug-And-Play, Driver Free\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eUSB Camera, IMX335 sensor. 5 megapixel. Supports UVC protocol.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX335-5MP-USB-Camera-A\/IMX335-5MP-USB-Camera-A-details-1.jpg\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003ePIXELS\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e5MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSENSOR\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eIMX335\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eINTERFACE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eUSB (UVC 1.0 compliant)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"5\"\u003eCAMERA\u003c\/th\u003e\n\u003ctd\u003eSensor size\u003c\/td\u003e\n\u003ctd\u003e1\/2.8 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAperture (F)\u003c\/td\u003e\n\u003ctd\u003e1.08\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocal length (EFL)\u003c\/td\u003e\n\u003ctd\u003e3.91 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd\u003e106°(D) 92.6°(H) 48.6°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocusing\u003c\/td\u003e\n\u003ctd\u003emanually focusing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"3\"\u003eIMAGE\u003c\/th\u003e\n\u003ctd\u003eFormat support\u003c\/td\u003e\n\u003ctd\u003eMJPG, YVY2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStatic image resolution\u003c\/td\u003e\n\u003ctd\u003e2592 × 1944\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo recording\u003c\/td\u003e\n\u003ctd\u003e20 FPS 2592 × 1944\u003cbr\u003e30 FPS 1920 × 1080\u003cbr\u003e30 FPS 1280 × 720\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOPERATING VOLTAGE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e5V ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCAMERA SIZE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e23.50 × 19.50 × 36.94 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMODULE SIZE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e38.00 × 38.00 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eConnecting With USB Cable\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX335-5MP-USB-Camera-A\/IMX335-5MP-USB-Camera-A-details-3.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX335-5MP-USB-Camera-A\/IMX335-5MP-USB-Camera-A-details-size.jpg\" style=\"float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX335_5MP_USB_Camera_(A)\" target=\"_blank\"\u003eIMX335_5MP_USB_Camera_(A)\u003c\/a\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096285982806,"sku":"WVSH0374","price":4449.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/imx335-5mp-usb-camera-a-1_3_1.jpg?v=1733506637"},{"product_id":"imx378-190-fisheye-lens-camera-for-raspberry-pi-online","title":"IMX378-190 Fisheye Lens 12.3MP Camera for Raspberry Pi - Wider Field Of View","description":"\u003cdiv style=\"text-align: center;\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\" data-mce-fragment=\"1\"\u003eIMX378-190 Fisheye Lens Camera\u003c\/h2\u003e\n\u003ch3 class=\"richDesc\" style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e12.3MP, Fisheye, 190°FOV\u003c\/h3\u003e\n\u003ch4 class=\"hilitBlock2 round1234\" style=\"text-align: center;\" data-mce-fragment=\"1\"\u003e\u003cspan style=\"color: #b90810;\"\u003eCompatible with Raspberry Pi series boards\u003c\/span\u003e\u003c\/h4\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX378-190-12.3MP-Camera\/IMX378-190-12.3MP-Camera-details-1.jpg\"\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eDevice Support\u003c\/h2\u003e\n\u003cdiv class=\"richTitle\"\u003e\n\u003ch3 style=\"text-align: center;\" class=\"largerBlock\"\u003eRaspberry Pi series\u003c\/h3\u003e\n\u003cdiv style=\"text-align: center;\" class=\"subBlock\"\u003eSupports 4B \/ 3B+ \/ 3A+ \/ Zero \/ Zero 2 W, \u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"subBlock\"\u003eand CM3\/3+\/4 (extra adapter board required)\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" class=\"richGridWrap richGridWrap-img6txt4 bgGrey\"\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV5647-series\/OV5647-series-1.png\"\u003e\u003cspan\u003e \u003c\/span\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"largerBlock\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; height: 97.969px;\" align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"width: 22.7431%; height: 19.5938px;\"\u003eSENSOR\u003c\/th\u003e\n\u003ctd style=\"width: 20.4265%; height: 19.5938px;\"\u003eIMX378\u003c\/td\u003e\n\u003cth style=\"width: 21.8698%; height: 19.5938px;\"\u003eCMOS SIZE\u003c\/th\u003e\n\u003ctd style=\"width: 30.3171%; height: 19.5938px;\"\u003e1\/2.3 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"width: 22.7431%; height: 19.5938px;\"\u003eCAMERA TYPE\u003c\/th\u003e\n\u003ctd style=\"width: 20.4265%; height: 19.5938px;\"\u003ecolor\u003c\/td\u003e\n\u003cth style=\"width: 21.8698%; height: 19.5938px;\"\u003ePIXELS\u003c\/th\u003e\n\u003ctd style=\"width: 30.3171%; height: 19.5938px;\"\u003e12.3MP (4056 × 3040)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"width: 22.7431%; height: 19.5938px;\"\u003eSHUTTER\u003c\/th\u003e\n\u003ctd style=\"width: 20.4265%; height: 19.5938px;\"\u003eRolling Shutter\u003c\/td\u003e\n\u003cth style=\"width: 21.8698%; height: 19.5938px;\"\u003eAPERTURE\u003c\/th\u003e\n\u003ctd style=\"width: 30.3171%; height: 19.5938px;\"\u003eF2.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"width: 22.7431%; height: 19.5938px;\"\u003eDISTORTION\u003c\/th\u003e\n\u003ctd style=\"width: 20.4265%; height: 19.5938px;\"\u003e\u0026lt; 58%\u003c\/td\u003e\n\u003cth style=\"width: 21.8698%; height: 19.5938px;\"\u003eFIELD OF VIEW\u003c\/th\u003e\n\u003ctd style=\"width: 30.3171%; height: 19.5938px;\"\u003e190°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"width: 22.7431%; height: 19.5938px;\"\u003eFOCAL LENGTH\u003c\/th\u003e\n\u003ctd style=\"width: 20.4265%; height: 19.5938px;\"\u003e6.5mm \u003c\/td\u003e\n\u003cth style=\"width: 21.8698%; height: 19.5938px;\"\u003eFOCUSING\u003c\/th\u003e\n\u003ctd style=\"width: 30.3171%; height: 19.5938px;\"\u003efixed focus distance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eHigh Definition, Wide Angle\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\"\u003e12.3MP HD, More Clear Imaging\u003cbr\u003e190° Wide Angle Fisheye Lens, Cover All In Sight\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX378-190-12.3MP-Camera\/IMX378-190-12.3MP-Camera-details-3.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\"\u003eWorking With Raspberry Pi\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eDirect Connect To Raspberry Pi Different Variants Including 4B\/3B+\/3A+\/3B\/2B\/B+\/A+,\u003cbr\u003eExtra FPC Cable Is Required For Zero \/ Zero 2 W Series\u003c\/h4\u003e\n\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX378-190-12.3MP-Camera\/IMX378-190-12.3MP-Camera-details-11.jpg\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e* for reference only, Raspberry Pi and yellow FPC are NOT included.\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eDimensions\u003c\/h2\u003e\n\u003cbr\u003e\u003cimg style=\"float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/IMX378-190-12.3MP-Camera\/IMX378-190-12.3MP-Camera-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/IMX378-190_12.3MP_Camera\" target=\"_blank\"\u003eIMX378-190_12.3MP_Camera\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40096598655062,"sku":"WVSH0375","price":5099.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/imx378-190-12.3mp-camera-1.jpg?v=1665234058"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/collections\/Jetson-Col.png?v=1684377092","url":"https:\/\/thinkrobotics.com\/collections\/buy-nvidia-jetson-developer-kits-online.oembed?page=8","provider":"ThinkRobotics.com","version":"1.0","type":"link"}