Low-Power Edge AI Inference BoardVAB1000

  • Exterior view of the

Key Features

  • Low Power Consumption
    • 3W (Equipped with a Japan-made AI inference ASIC.)
  • Compact Design
    • Board size: 45 mm × 65 mm
  • Programmable Platform
    • Runs Ubuntu OS and supports custom AI models and application development.
  • High-Speed Image Processing
    • Hardware-accelerated image processing with OpenCV support.
  • Optional Expansion Kit
    • We also offer an optional camera kit with the AI board pre-installed for easy deployment.

Application

A compact edge AI solution for adaptive on-site processing

Application examples for the

Hardware Specifications

Items Specifications Comments
AI Engine 2K Low-Power ASIC Compact and battery-operable design. Made in Japan
External Interface POWER1 USB Type-C bus power input Power supply only (no data transmission)
POWER2 5V DC power input For use in combination with POWER1
USB HOST USB Type-C USB host port Wireless LAN adaptor Supports video input from USB cameras
UART USB Micro-B UART interface for the onboard CPU in AI LSI
Audio interface Input: MIC, AUX
Output: Headphone
Dedicated analog audio interface (mono)
Sensor interface CMOS image sensor interface
JTAG JTAG interface for the AI LSI
Storage For maintenance purposes
Interface extension *1 Video monitoring via external expansion board 5.0 V power, video output signals, and GPIO signals
Ethernet interface supported via external expansion board 1.8 V / 3.3 V power and Ethernet PHY interface
RTC Battery RTC backup battery connector Real-time clock (RTC)
Operating Conditions Temperature -20℃ to +65℃ (ambient)
Humidity 30 to 90% RH Non-condensing
Power Consumption 5.2 W max.
Dimensions Board Size 65 mm x 45 mm
*1
The interface expansion function allows additional interfaces to be implemented using a separate expansion board.
Required circuits (such as PHYs) and connectors must be implemented on the expansion board.

Software Specifications

Items Specifications Comments
OS Ubuntu 22.04 LTS
Library OpenCV 4.5.1/GStreamer 1.20.1 When using the OpenCV acceleration API, please use OpenCV 4.5.1 instead of the default OpenCV 4.5.4 package included with Ubuntu 22.04 LTS.
API OpenCV Hardware Acceleration API Additional APIs will be supported in future releases.

Supported AI Models

Category Models
Object Detection YOLOv3, YOLOX-Tiny
Pose Estimation Lightweight Human Pose Estimation
Age Estimation PINT00309 (Age/Gender Recognition)
Gender Estimation
Gaze Estimation Gaze Estimation

Block Diagram

 Block diagram of the Low-Power Edge AI Inference Board

*2
Reduced Gigabit Media-Independent Interface

  • Additional built-in AI models will be added and updated in future releases.
  • Supported OpenCV functions are available upon request.
  • Recommended LTE/Wi-Fi/Bluetooth communication devices are available upon request.
  • Recommended CMOS image sensors compatible with the sensor interface are available upon request.
  • The interface expansion function enables additional interfaces through a separate expansion board. Required circuits (e.g., PHYs) and connectors must be implemented on the expansion board.
  • This content is subject to change without notice.

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