AD-VEGA-320
m.2 Edge AI Module with one Intel® Movidius™ Myriad™ X VPU onboard
- Intel® Movidius™ Myriad™ X VPU onboard
- Ultra compact, Low power consumption
- Hardware acceleration for common deep neural networks
- Scalable for multi video streams edge inference
- 10 times the performance compared to previous generation
- Intel® OpenVINO™ toolkit fully supported
| Model | VEGA-320-01A1 |
| Processor | |
| SOC | one Myriad X MA2485 |
| Form Factor | |
| Form Factor | M.2 2230 (Key A+E) |
| Dimensions | |
| Dimensions (W x H x D) | 22mm x 30mm x 3.63mm |
| Interface | |
| Signal Interface | PCIe Gen2 x1, USB 2.0 |
| Environment | |
| Temperature (Operating) | 0~45°C, with 0.7 m/s air flow |
| Power Consumption | |
| Power Consumption | 3.8W |
| Cooling | |
| Cooling | Passive cooling |
| Operating System | |
| Others | Windows 10 Enterprise 64 bit, Ubuntu 16.04.3 LTS (64 bit), CentOS 7.4 (64 bit) |
| OpenVINO | |
| OpenVINO | OpenVINO R1 2019 or latest |
| Framework Support | |
| Framework Support | TensorFlow, Caffe |
Application: AI-Powered Smart Street Lights
Cities are illuminated by thousands of streetlights that help drivers and pedestrians find their way home safely. Equipped with AI technology, streetlights can be used to not only light up roads, but also support city services such as air quality, humidity, and temperature monitoring, as well as traffic and parking management.
The customer had already implemented edge computing platform to serve as a gateway computer for collecting data, including temperature and humidity levels, to facilitate operational analysis. Recently, the platform was upgraded with AD-VEGA-320 edge AI acceleration modules embedded into the cameras for analyzing multiple streams of video data and handling real-time tasks such as locating available parking spaces. The customer estimated that this solution increases the utilization of roadside parking by at least 10% to 15%.
- Key Benefit
- Compact, low-power design with minimal installation effort
- Video analysis at the edge for instant response
- Saves bandwidth resources and costs
Edge AI Suite Built-in
With Intel’s Distribution of OpenVINO™ toolkit and pre-trained models integrated, Edge AI Suite provides a deep learning model optimizer, an inference engine, pre-trained models, and a friendly GUI toolkit.