Advantech VEGA-320 m.2 Edge AI Module

Advantech VEGA-320 m.2 Edge AI Module is an ultra-compact and low power consumption module with one onboard Intel® Movidius™ Myriad™ X VPU. This module is scalable for multiple video streams edge inference. The VEGA-320 module includes a built-in Edge AI suite. This Edge AI suite features OpenVINO™ toolkit, pre-trained modules, deployment wizard, and third party AI SDK. The VEGA-320 module supports Windows 10 Enterprise, Ubuntu 16.04.3 LTS, and CentOS 7.4. This module operates at 0°C to +45°C temperature range. The Advantech VEGA-320 also features passive cooling and hardware acceleration for common deep neural networks. This module is ideal for use in facial detection, pedestrian tracking, human pose estimation, vehicle detection, and optical inspection.

Features

  • Built-in Edge AI Suite
    • OpenVINO toolkit
    • Pre-trained models
    • Deployment wizard
    • 3rd party AI SDK
  • TensorFlow and Caffe framework support
  • Intel Movidius Myriad X VPU onboard
  • Ultra-compact and low power consumption
  • Hardware acceleration for common deep neural networks
  • Scalable for multiple video streams edge inference

Applications

  • Facial detection
  • Pedestrian tracking
  • Human pose estimation
  • Vehicle detection
  • License plate recognition
  • Optical inspection
  • AI model launcher
  • Deployment reference
  • CPU / VPU monitoring

Specifications

  • OS Support
    • Windows 10 Enterprise
    • Ubuntu 16.04.3 LTS
    • CentOS 7.4
  • 0°C to +45°C operating temperature range
  • PCIe Gen2 × 1 signal interface
  • 0.7m/s airflow
  • One Myriad × MA2485 SoC
  • M.2 2230 form factor

VEGA-320 Overview

Block Diagram - Advantech VEGA-320 m.2 Edge AI Module

VEGA-320 Dimensions

Mechanical Drawing - Advantech VEGA-320 m.2 Edge AI Module
Published: 2019-10-25 | Updated: 2023-04-05