Name: ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB)
Brand: ThinkRobotics.in
SKU: SBC2067-NoC
Price: 20499.99 INR
Availability: InStock

{"id":6793849667670,"title":"ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB)","handle":"nvidia-jetson-nano-developer-kit-online-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 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 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;\"\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\u003e\u003cspan style=\"color: #2b00ff;\" mce-data-marked=\"1\"\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;\" data-mce-fragment=\"1\" data-mce-href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" 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\" data-mce-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\" 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. 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\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" 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\"\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\/\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" 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\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" 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\" 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\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\" target=\"_blank\" data-mce-href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_sid=d0c5055a4\u0026amp;_ss=r\"\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","published_at":"2022-12-06T11:03:14+05:30","created_at":"2022-08-15T09:23:50+05:30","vendor":"ThinkRobotics.in","type":"","tags":["B01","NDEV-KIT","SBC1","SBC2","THINKROBOTICS","TRJCD"],"price":2049999,"price_min":2049999,"price_max":2174999,"available":true,"price_varies":true,"compare_at_price":0,"compare_at_price_min":0,"compare_at_price_max":3199999,"compare_at_price_varies":true,"variants":[{"id":40058803585110,"title":"Without Case","option1":"Without Case","option2":null,"option3":null,"sku":"SBC2067-NoC","requires_shipping":true,"taxable":true,"featured_image":{"id":30646093578326,"product_id":6793849667670,"position":1,"created_at":"2022-08-31T14:23:15+05:30","updated_at":"2022-08-31T14:23:31+05:30","alt":"NVIDIA Jetson Nano Developer Kit Online","width":1000,"height":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/SBC2067-4.png?v=1661936011","variant_ids":[40058803585110]},"available":true,"name":"ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB) - Without Case","public_title":"Without Case","options":["Without Case"],"price":2049999,"weight":500,"compare_at_price":0,"inventory_management":"shopify","barcode":"40058803585110","featured_media":{"alt":"NVIDIA Jetson Nano Developer Kit Online","id":23221191999574,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/SBC2067-4.png?v=1661936011"}},"requires_selling_plan":false,"selling_plan_allocations":[]},{"id":40058803617878,"title":"With 3D Printed Case","option1":"With 3D Printed Case","option2":null,"option3":null,"sku":"SBC2067-3D","requires_shipping":true,"taxable":true,"featured_image":{"id":30661435359318,"product_id":6793849667670,"position":3,"created_at":"2022-09-03T11:45:50+05:30","updated_at":"2022-09-03T12:18:09+05:30","alt":"NVIDIA Jetson Nano Developer Kit Online","width":2714,"height":2714,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-3.png?v=1662187689","variant_ids":[40058803617878]},"available":true,"name":"ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB) - With 3D Printed Case","public_title":"With 3D Printed Case","options":["With 3D Printed Case"],"price":2099999,"weight":500,"compare_at_price":0,"inventory_management":"shopify","barcode":"40058803617878","featured_media":{"alt":"NVIDIA Jetson Nano Developer Kit Online","id":23237937430614,"position":3,"preview_image":{"aspect_ratio":1.0,"height":2714,"width":2714,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-3.png?v=1662187689"}},"requires_selling_plan":false,"selling_plan_allocations":[]},{"id":40058803650646,"title":"With 3D Printed Case for High Temp Applications","option1":"With 3D Printed Case for High Temp Applications","option2":null,"option3":null,"sku":"SBC2067-HT","requires_shipping":true,"taxable":true,"featured_image":{"id":30661510332502,"product_id":6793849667670,"position":2,"created_at":"2022-09-03T12:17:57+05:30","updated_at":"2022-09-03T12:18:09+05:30","alt":"NVIDIA Jetson Nano Developer Kit 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Online","id":23237937430614,"position":3,"preview_image":{"aspect_ratio":1.0,"height":2714,"width":2714,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-3.png?v=1662187689"},"aspect_ratio":1.0,"height":2714,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-3.png?v=1662187689","width":2714},{"alt":"NVIDIA Jetson Nano Developer Kit Online","id":23237937463382,"position":4,"preview_image":{"aspect_ratio":1.0,"height":3476,"width":3476,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-2.png?v=1662187689"},"aspect_ratio":1.0,"height":3476,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/DevKit-2.png?v=1662187689","width":3476},{"alt":"NVIDIA Jetson Nano Developer Kit 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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 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 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;\"\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\u003e\u003cspan style=\"color: #2b00ff;\" mce-data-marked=\"1\"\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;\" data-mce-fragment=\"1\" data-mce-href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" 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\" data-mce-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\" 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. 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\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" 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\"\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\/\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" 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\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" 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\"\u003eFind in the \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" 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\" 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\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\" target=\"_blank\" data-mce-href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_sid=d0c5055a4\u0026amp;_ss=r\"\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"}

ThinkRobotics Jetson Nano Deployment Kit (B01 - 4GB)

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Functionality

Edge AI Applications

Specifications:

Comparison with NVIDIA Nano series Dev kits carrier board:

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