ASUS Tinker Edge T SBC,Based on Google Edge TPU For Machine Leraning AI (90ME0140-M0CAY0)
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Home > AI - Artificial Intelligence > ASUS Tinker Edge T SBC,Based on Google Edge TPU For Machine Leraning AI (90ME0140-M0CAY0)
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
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  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models

ASUS Tinker Edge T SBC,Based on Google Edge TPU For Machine Leraning AI (90ME0140-M0CAY0)

SKU: HS0010
NXP i.MX 8M Arm Cortex-A53 Processor
Google Edge TPU ML Accelerator Coprocessor
2 x 24-pin MIPI CSI-2 Camera Interface
RJ45 GbE LAN, Wireless 802.11ac, Bluetooth 4.2
Dimension: 3.37 inch x 2.125 inch
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  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
  • ASUS Tinker Edge T Linux Mini SBC Features Onboard ML Accelerator Google Edge TPU and Optimized for TensorFlow Lite Models
Frequently Bought Together
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Frequently Bought Together
  • Description
  • Reviews

ASUS Tinker Edge T - Google Coral TPU 



Introduction


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.


Features


  1. Edge AI Processing Power: The ASUS Tinker Edge-T series boasts high-performance processors and dedicated AI accelerators, enabling efficient edge computing for machine learning tasks and real-time analytics.

  2. Industrial Durability & Connectivity: Rugged construction is designed to withstand harsh industrial environments and includes versatile connectivity options for seamless IoT integration.

  3. Software Compatibility & Flexibility: Supports a wide range of popular AI frameworks and development tools, allowing developers to easily create, deploy, and adapt applications across industries.

  4. Enhanced Security Measures: Features robust built-in security protocols to ensure data protection and secure communication within industrial IoT systems.

  5. Efficient Energy Management: Optimized power consumption reduces energy usage, making it suitable for remote or battery-powered operations while maintaining continuous performance.


Shipping List


  • Base
    • ASUS Tinker Edge T x1
  • Power Kit
    • ASUS Tinker Edge T x1
    • 12V PSU x1 


Applications


  1. Industrial: Enhances automation with predictive maintenance, AI process control in machinery and production lines.
  2. Surveillance: Powers real-time AI video analytics for security, facial recognition, intrusion detection.
  3. Robotics: Enables autonomous navigation, obstacle avoidance in drones, robots; optimizes logistics with inventory tracking.
  4. Transportation: Supports traffic management, AV guidance, infrastructure monitoring for safer, smarter transit systems.
  5. Construction: Precision measurements, BIM integration, quality control for building projects and surveying.
  6. Agriculture & Mining: On-site data processing, crop health monitoring, mineral exploration using AI.


Specification



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)


Detailed Descriptions


    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 dual-channel 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.

    TIM图片20200430111740

    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 T has a special power design that, together with a DC head power supply, delivers up to 45 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.

    T接口图

    More connectivity options for makers

     

    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.

    GPIO

     

    Heatsink included

    Tinker Edge T includes an active heatsink, which helps improve heat dissipation under heavy loading or in hot ambient environments.

    Neural network tools for users

    ASUS provides a robust API and SDK that enables users to deploy machine learning models to Tinker Edge T easily for applications such as image classification and object detection.

    OS flash tool

    Tinker Edge T comes with a cross-platform OS flash tool that enables easy OS image flashing to SD cards and USB drives, enabling you to get your system up and running quickly.

     

    T背面

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    Application :Video conference equipment with AI 

    TIM图片20200430153001

    Application scenario :AI camera

     

    Application scenario: vending machine

    自动售货机

    zhixian

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