SBC developer board featuring the Google Edge TPU and ARM processor for AI
Google Edge TPU
More connectivity options for developers
Multi-platform tools for easy machine-learning model deployment and image burning
4 TOPS performance
0.5W/unit power consumption
TensorFlow Lite Supported
Specifications
SoC
NXP i.MX 8M
CPU
LPDDR4 1GB
GPU
GC7000 Lite
NN processor
Google Edge TPU ML accelerator coprocessor
Display
1 x HDMI with CEC hardware ready 1 x 22-pin MIPI DSI
Memory Size
Dual-CH LPDDR4 1GB
Storage
8GB eMMC Micro SD(TF) card slot (push/pull)
Connectivity
1 x RTL8211F-CG Gb LAN 1 x 802.11 a/b/g/n/ac wireless & Bluetooth 4.2
USB
2 x USB 3.2 Gen1 Type-A 1 x USB 3.2 Gen1 Type-C OTG
Camera Interface
2 x 24-pin MIPI CSI-2
Internal Headers
1 x 40-pin headers includes: - up to 28 x GPIO pins - up to 1 x SPI bus - up to 2 x I2C bus - up to 2 x UART - up to 3 x PWM - up to 1 x PCM/I2S - 2 x 5V power pins - 2 x 3.3V power pins - 8 x ground pins 1 x Boot mode switch 1 x 2-pin Reset header 1 x 2-pin DC Fan header
Power Connector (up to 45W)
12~19v DC Power Input Jack (5.5/2.5mm)
OS Support
Debian 9
Dimension
3.37 inch x 2.125 inch (8.55 cm x 5.4 cm)
Environment
Operation temperature: 0℃ ~ 50℃ Non operation temperature: -40℃ ~ 80℃ Non operation humidity: 0% ~ 85% (Non condensing)
ULTIMATE PERFORMANCE FOR EDGE DEVICE
AI accelerator (Edge TPU)
Tinker Edge T is a single-board computer (SBC) specially designed for AI applications. It features the Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this onboard ML accelerator, Tinker Edge T is capable of performing four tera-operations per second (TOPS) using only 0.5 watts per unit of computation. It is also optimized for TensorFlow Lite models, making it easy to compile and run common ML models.
ADVANCED POWER DESIGN
Most SBC motherboards only offer a 15 watt (5V 3A) power design, which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I/O ports. Tinker Edge R has a special power design that, together with DC and pin header dual power supply, delivers up to 65 watts of power, enabling stable system operation and full I/O performance, even with multiple connected devices. Additionally, an exclusive power-protection design activates automatically if the supplied current and voltage change significantly, effectively protecting the board and all connected devices.
12~19V DC-in
Dual Power - DC
Power-protection Design
NXP I.MX 8M PROCESSOR
With its powerful and modern quad-core ARM-based NXP i.MX 8M processor, Tinker Edge T offers a powerful solution for graphics, machine vision, video, audio, voice and safety-critical applications. Tinker Edge T features 1 GB of LPDDR4 memory, the 4th generation of low-power DDR DRAM technology, offering faster speeds and even lower power consumption for improved system performance and efficiency. Tinker Edge T also comes equipped with an onboard 8 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the OS, applications and file storage.
HEATSINK INCLUDED
Tinker Edge T includes an active heatsink, which helps improve heat dissipation under heavy loading or in hot ambient environments.
MORE CONNECTIVITY OPTIONS FOR DEVELOPERS
Tinker Edge T features a rich I/O interface, including one MIPI-DSI connection for displays and touch screens, and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement, smart vending machine QR code payment systems and interactive advertising.
Tinker Edge T has a maker-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. Programmable LEDs let makers develop custom lighting behaviors, such as system notifications and status indicators, and the color-coded GPIO header makes it easy to recognize respective pin headers.
Tinker Edge T also features a full-size HDMI port, USB Type-A, USB Type-C, gigabit LAN and integrated Wi-Fi and Bluetooth for internet and network connectivity.
MIPI-DSI x1 Support
MIPI-CSI x2 Support
Programmable LEDs
Color Coded GPIO
ENHANCED USER EXPERIENCE
Machine Learning Developer Tools
ASUS provides a robust API and SDK that enables users to deploy ML models to Tinker Edge R easily for applications such as image classification and object detection. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet and more.
OS Flash Tool
Tinker Edge R comes with a Intuitive OS flash tool that enables easy OS image flashing to onboard eMMC drive, enabling you to get your system up and running quickly.
* We strongly recommend that you regularly backup all data stored in the device. ASUS shall not be liable for any damage to or loss of programs or data stored in the Tinker Board series, and shall not be responsible for data recovery, backup, or any charges arising therefrom.
* In no event shall ASUS be liable for any defect, damage or data loss arising from product repair or replacement.
{"id":6822859604054,"title":"Asus Tinker Edge T","handle":"asus-tinker-edge-t-online","description":"\u003ch2 style=\"text-align: center;\"\u003eDevelop and Deploy powerful AI applications\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eSBC developer board featuring the Google Edge TPU and ARM processor for AI\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eGoogle Edge TPU\u003c\/li\u003e\n\u003cli\u003eMore connectivity options for developers\u003c\/li\u003e\n\u003cli\u003eMulti-platform tools for easy machine-learning model deployment and image burning\u003c\/li\u003e\n\u003cli\u003e4 TOPS performance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e0.5W\/unit power consumption\u003c\/li\u003e\n\u003cli\u003eTensorFlow Lite Supported\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e Specifications\u003cmeta charset=\"UTF-8\"\u003e\n\u003c\/h3\u003e\n\u003ctable class=\"table table--sp\" id=\"table--sp\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eSoC\u003c\/th\u003e\n\u003ctd\u003eNXP i.MX 8M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCPU\u003c\/th\u003e\n\u003ctd\u003eLPDDR4 1GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU\u003c\/th\u003e\n\u003ctd\u003eGC7000 Lite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eNN processor\u003c\/th\u003e\n\u003ctd\u003eGoogle Edge TPU ML accelerator coprocessor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDisplay\u003c\/th\u003e\n\u003ctd\u003e1 x HDMI with CEC hardware ready\u003cbr\u003e1 x 22-pin MIPI DSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory Size\u003c\/th\u003e\n\u003ctd\u003eDual-CH LPDDR4 1GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eStorage\u003c\/th\u003e\n\u003ctd\u003e8GB eMMC\u003cbr\u003eMicro SD(TF) card slot (push\/pull)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eConnectivity\u003c\/th\u003e\n\u003ctd\u003e1 x RTL8211F-CG Gb LAN\u003cbr\u003e1 x 802.11 a\/b\/g\/n\/ac wireless \u0026amp; Bluetooth 4.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eUSB\u003c\/th\u003e\n\u003ctd\u003e2 x USB 3.2 Gen1 Type-A\u003cbr\u003e1 x USB 3.2 Gen1 Type-C OTG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCamera Interface\u003c\/th\u003e\n\u003ctd\u003e2 x 24-pin MIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eInternal Headers\u003c\/th\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1 x 40-pin headers includes:\u003c\/strong\u003e\u003cbr\u003e- up to 28 x GPIO pins\u003cbr\u003e- up to 1 x SPI bus\u003cbr\u003e- up to 2 x I2C bus\u003cbr\u003e- up to 2 x UART\u003cbr\u003e- up to 3 x PWM\u003cbr\u003e- up to 1 x PCM\/I2S\u003cbr\u003e- 2 x 5V power pins\u003cbr\u003e- 2 x 3.3V power pins\u003cbr\u003e- 8 x ground pins\u003cbr\u003e\u003cstrong\u003e1 x Boot mode switch\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e1 x 2-pin Reset header\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e1 x 2-pin DC Fan header\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003ePower Connector\u003cbr\u003e(up to 45W)\u003c\/th\u003e\n\u003ctd\u003e12~19v DC Power Input Jack (5.5\/2.5mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eOS Support\u003c\/th\u003e\n\u003ctd\u003eDebian 9\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDimension\u003c\/th\u003e\n\u003ctd\u003e3.37 inch x 2.125 inch (8.55 cm x 5.4 cm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eEnvironment\u003c\/th\u003e\n\u003ctd\u003eOperation temperature: 0℃ ~ 50℃\u003cbr\u003eNon operation temperature: -40℃ ~ 80℃\u003cbr\u003eNon operation humidity: 0% ~ 85% (Non condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eULTIMATE PERFORMANCE FOR EDGE DEVICE\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"text-align: center;\"\u003eAI accelerator (Edge TPU)\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan\u003eTinker Edge T is a single-board computer (SBC) specially designed for AI applications. It features the Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this onboard ML accelerator, Tinker Edge T is capable of performing four tera-operations per second (TOPS) using only 0.5 watts per unit of computation. It is also optimized for TensorFlow Lite models, making it easy to compile and run common ML models.\u003c\/span\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\/tinker-edge-t_01.jpg?v=1665528263\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2\u003eADVANCED POWER DESIGN\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eMost SBC motherboards only offer a 15 watt (5V 3A) power design, which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I\/O ports. Tinker Edge R has a special power design that, together with DC and pin header dual power supply, delivers up to 65 watts of power, enabling stable system operation and full I\/O performance, even with multiple connected devices. Additionally, an exclusive power-protection design activates automatically if the supplied current and voltage change significantly, effectively protecting the board and all connected devices.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e12~19V DC-in\u003c\/li\u003e\n\u003cli\u003eDual Power - DC\u003c\/li\u003e\n\u003cli\u003ePower-protection Design\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: right;\"\u003e\n\u003cdiv class=\"mb-5\" style=\"text-align: right;\"\u003e\n\u003ch3 class=\"text-title\" style=\"text-align: left;\"\u003eNXP I.MX 8M PROCESSOR\u003c\/h3\u003e\n\u003cp\u003e\u003cimg alt=\"NXP i.MX 8M processor\" class=\"img-full\" src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_03.jpg\" style=\"float: right;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eWith its powerful and modern quad-core ARM-based NXP i.MX 8M processor, Tinker Edge T offers a powerful solution for graphics, machine vision, video, audio, voice and safety-critical applications. Tinker Edge T features 1 GB of LPDDR4 memory, the 4th generation of low-power DDR DRAM technology, offering faster speeds and even lower power consumption for improved system performance and efficiency. Tinker Edge T also comes equipped with an onboard 8 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the OS, applications and file storage.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mb-5\"\u003e\n\u003ch3 class=\"text-title\" style=\"text-align: left;\"\u003eHEATSINK INCLUDED\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\"\u003eTinker Edge T includes an active heatsink, which helps improve heat dissipation under heavy loading or in hot ambient environments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003eMORE CONNECTIVITY OPTIONS FOR DEVELOPERS\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_04.jpg\" class=\"img-full p-3\" alt=\"More connectivity options for Developers\" data-mce-style=\"float: none;\" data-mce-src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_04.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T features a rich I\/O interface, including one MIPI-DSI connection for displays and touch screens, and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement, smart vending machine QR code payment systems and interactive advertising.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T has a maker-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. Programmable LEDs let makers develop custom lighting behaviors, such as system notifications and status indicators, and the color-coded GPIO header makes it easy to recognize respective pin headers.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T also features a full-size HDMI port, USB Type-A, USB Type-C, gigabit LAN and integrated Wi-Fi and Bluetooth for internet and network connectivity.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eMIPI-DSI x1 Support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMIPI-CSI x2 Support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProgrammable LEDs \u003c\/li\u003e\n\u003cli\u003eColor Coded GPIO\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 style=\"text-align: center;\"\u003eENHANCED USER EXPERIENCE\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_05.jpg\" class=\"img-full float-img\" alt=\"Enhanced User Experience\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"h4\"\u003eMachine Learning Developer Tools\u003c\/h3\u003e\n\u003cp\u003eASUS provides a robust API and SDK that enables users to deploy ML models to Tinker Edge R easily for applications such as image classification and object detection. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet and more.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"h4\"\u003eOS Flash Tool\u003c\/h3\u003e\n\u003cp\u003eTinker Edge R comes with a Intuitive OS flash tool that enables easy OS image flashing to onboard eMMC drive, enabling you to get your system up and running quickly.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cblockquote\u003e\n\u003cp\u003e\u003cspan style=\"color: #b90810;\"\u003e* We strongly recommend that you regularly backup all data stored in the device. ASUS shall not be liable for any damage to or loss of programs or data stored in the Tinker Board series, and shall not be responsible for data recovery, backup, or any charges arising therefrom.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #b90810;\"\u003e* In no event shall ASUS be liable for any defect, damage or data loss arising from product repair or replacement.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003c\/div\u003e\n\u003ch1\u003e\u003c\/h1\u003e","published_at":"2022-12-06T11:00:37+05:30","created_at":"2022-10-12T03:59:46+05:30","vendor":"ThinkRobotics","type":"","tags":["A53","A72","A72+A53","accelerator","AI","AI SBC","ARM","Artificial Intelligence","ASUS","Asus Tinkerboard","ASUS-BRD","ASUS-COM","ASUSTEK","Board","DEVICE","EDGE","Edge AI","EDGE DEVICE","Edge R","Edge T","GPIO","i.MX 8M","Jetson Nano 4g","Jetson Nano dev kit case","Jetson Nano development kit","Learning","Machine","Machine Learning","ML","Nano","NXP","NXP 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Online","id":23455651364950,"position":3,"preview_image":{"aspect_ratio":1.0,"height":1024,"width":1024,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/ekzsmavaxayk5nas_setting_fff_0_90_end_1024.png?v=1665528207"},"aspect_ratio":1.0,"height":1024,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/ekzsmavaxayk5nas_setting_fff_0_90_end_1024.png?v=1665528207","width":1024},{"alt":"Asus Tinker Edge T Online","id":23455651332182,"position":4,"preview_image":{"aspect_ratio":1.0,"height":1024,"width":1024,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/djuc5uc4meykimob_setting_fff_0_90_end_1024.png?v=1665528207"},"aspect_ratio":1.0,"height":1024,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/djuc5uc4meykimob_setting_fff_0_90_end_1024.png?v=1665528207","width":1024}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch2 style=\"text-align: center;\"\u003eDevelop and Deploy powerful AI applications\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eSBC developer board featuring the Google Edge TPU and ARM processor for AI\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eGoogle Edge TPU\u003c\/li\u003e\n\u003cli\u003eMore connectivity options for developers\u003c\/li\u003e\n\u003cli\u003eMulti-platform tools for easy machine-learning model deployment and image burning\u003c\/li\u003e\n\u003cli\u003e4 TOPS performance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e0.5W\/unit power consumption\u003c\/li\u003e\n\u003cli\u003eTensorFlow Lite Supported\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e Specifications\u003cmeta charset=\"UTF-8\"\u003e\n\u003c\/h3\u003e\n\u003ctable class=\"table table--sp\" id=\"table--sp\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eSoC\u003c\/th\u003e\n\u003ctd\u003eNXP i.MX 8M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCPU\u003c\/th\u003e\n\u003ctd\u003eLPDDR4 1GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU\u003c\/th\u003e\n\u003ctd\u003eGC7000 Lite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eNN processor\u003c\/th\u003e\n\u003ctd\u003eGoogle Edge TPU ML accelerator coprocessor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDisplay\u003c\/th\u003e\n\u003ctd\u003e1 x HDMI with CEC hardware ready\u003cbr\u003e1 x 22-pin MIPI DSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory Size\u003c\/th\u003e\n\u003ctd\u003eDual-CH LPDDR4 1GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eStorage\u003c\/th\u003e\n\u003ctd\u003e8GB eMMC\u003cbr\u003eMicro SD(TF) card slot (push\/pull)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eConnectivity\u003c\/th\u003e\n\u003ctd\u003e1 x RTL8211F-CG Gb LAN\u003cbr\u003e1 x 802.11 a\/b\/g\/n\/ac wireless \u0026amp; Bluetooth 4.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eUSB\u003c\/th\u003e\n\u003ctd\u003e2 x USB 3.2 Gen1 Type-A\u003cbr\u003e1 x USB 3.2 Gen1 Type-C OTG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCamera Interface\u003c\/th\u003e\n\u003ctd\u003e2 x 24-pin MIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eInternal Headers\u003c\/th\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1 x 40-pin headers includes:\u003c\/strong\u003e\u003cbr\u003e- up to 28 x GPIO pins\u003cbr\u003e- up to 1 x SPI bus\u003cbr\u003e- up to 2 x I2C bus\u003cbr\u003e- up to 2 x UART\u003cbr\u003e- up to 3 x PWM\u003cbr\u003e- up to 1 x PCM\/I2S\u003cbr\u003e- 2 x 5V power pins\u003cbr\u003e- 2 x 3.3V power pins\u003cbr\u003e- 8 x ground pins\u003cbr\u003e\u003cstrong\u003e1 x Boot mode switch\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e1 x 2-pin Reset header\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e1 x 2-pin DC Fan header\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003ePower Connector\u003cbr\u003e(up to 45W)\u003c\/th\u003e\n\u003ctd\u003e12~19v DC Power Input Jack (5.5\/2.5mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eOS Support\u003c\/th\u003e\n\u003ctd\u003eDebian 9\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDimension\u003c\/th\u003e\n\u003ctd\u003e3.37 inch x 2.125 inch (8.55 cm x 5.4 cm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eEnvironment\u003c\/th\u003e\n\u003ctd\u003eOperation temperature: 0℃ ~ 50℃\u003cbr\u003eNon operation temperature: -40℃ ~ 80℃\u003cbr\u003eNon operation humidity: 0% ~ 85% (Non condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eULTIMATE PERFORMANCE FOR EDGE DEVICE\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"text-align: center;\"\u003eAI accelerator (Edge TPU)\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan\u003eTinker Edge T is a single-board computer (SBC) specially designed for AI applications. It features the Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this onboard ML accelerator, Tinker Edge T is capable of performing four tera-operations per second (TOPS) using only 0.5 watts per unit of computation. It is also optimized for TensorFlow Lite models, making it easy to compile and run common ML models.\u003c\/span\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\/tinker-edge-t_01.jpg?v=1665528263\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2\u003eADVANCED POWER DESIGN\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eMost SBC motherboards only offer a 15 watt (5V 3A) power design, which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I\/O ports. Tinker Edge R has a special power design that, together with DC and pin header dual power supply, delivers up to 65 watts of power, enabling stable system operation and full I\/O performance, even with multiple connected devices. Additionally, an exclusive power-protection design activates automatically if the supplied current and voltage change significantly, effectively protecting the board and all connected devices.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e12~19V DC-in\u003c\/li\u003e\n\u003cli\u003eDual Power - DC\u003c\/li\u003e\n\u003cli\u003ePower-protection Design\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: right;\"\u003e\n\u003cdiv class=\"mb-5\" style=\"text-align: right;\"\u003e\n\u003ch3 class=\"text-title\" style=\"text-align: left;\"\u003eNXP I.MX 8M PROCESSOR\u003c\/h3\u003e\n\u003cp\u003e\u003cimg alt=\"NXP i.MX 8M processor\" class=\"img-full\" src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_03.jpg\" style=\"float: right;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eWith its powerful and modern quad-core ARM-based NXP i.MX 8M processor, Tinker Edge T offers a powerful solution for graphics, machine vision, video, audio, voice and safety-critical applications. Tinker Edge T features 1 GB of LPDDR4 memory, the 4th generation of low-power DDR DRAM technology, offering faster speeds and even lower power consumption for improved system performance and efficiency. Tinker Edge T also comes equipped with an onboard 8 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the OS, applications and file storage.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mb-5\"\u003e\n\u003ch3 class=\"text-title\" style=\"text-align: left;\"\u003eHEATSINK INCLUDED\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\"\u003eTinker Edge T includes an active heatsink, which helps improve heat dissipation under heavy loading or in hot ambient environments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"h1 headings--section text-uppercase mb-5 text-white\"\u003eMORE CONNECTIVITY OPTIONS FOR DEVELOPERS\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_04.jpg\" class=\"img-full p-3\" alt=\"More connectivity options for Developers\" data-mce-style=\"float: none;\" data-mce-src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_04.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T features a rich I\/O interface, including one MIPI-DSI connection for displays and touch screens, and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement, smart vending machine QR code payment systems and interactive advertising.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T has a maker-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. Programmable LEDs let makers develop custom lighting behaviors, such as system notifications and status indicators, and the color-coded GPIO header makes it easy to recognize respective pin headers.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eTinker Edge T also features a full-size HDMI port, USB Type-A, USB Type-C, gigabit LAN and integrated Wi-Fi and Bluetooth for internet and network connectivity.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eMIPI-DSI x1 Support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMIPI-CSI x2 Support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProgrammable LEDs \u003c\/li\u003e\n\u003cli\u003eColor Coded GPIO\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 style=\"text-align: center;\"\u003eENHANCED USER EXPERIENCE\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/tinker-board.asus.com\/images\/tinker-edge-t_05.jpg\" class=\"img-full float-img\" alt=\"Enhanced User Experience\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"h4\"\u003eMachine Learning Developer Tools\u003c\/h3\u003e\n\u003cp\u003eASUS provides a robust API and SDK that enables users to deploy ML models to Tinker Edge R easily for applications such as image classification and object detection. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet and more.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 class=\"h4\"\u003eOS Flash Tool\u003c\/h3\u003e\n\u003cp\u003eTinker Edge R comes with a Intuitive OS flash tool that enables easy OS image flashing to onboard eMMC drive, enabling you to get your system up and running quickly.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cblockquote\u003e\n\u003cp\u003e\u003cspan style=\"color: #b90810;\"\u003e* We strongly recommend that you regularly backup all data stored in the device. ASUS shall not be liable for any damage to or loss of programs or data stored in the Tinker Board series, and shall not be responsible for data recovery, backup, or any charges arising therefrom.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #b90810;\"\u003e* In no event shall ASUS be liable for any defect, damage or data loss arising from product repair or replacement.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003c\/div\u003e\n\u003ch1\u003e\u003c\/h1\u003e"}
