Advantech VEGA-320 m.2 Edge AI Module

11 January, 2020

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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 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

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

more information: www.advantech.com

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Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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