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Computer Vision

RZ/V2L SMARC: Vision AI

Overview

The RZ/V2L combines a powerful 1.2GHz Cortex®-A55 CPU with integrated DRP-AI acceleration, enhancing AI performance through DRP and AI-MAC components. It supports 16-bit DDR3L/DDR4 memory, features a built-in Arm Mali-G31 GPU for smooth 3D graphics, and includes an H.264 video codec for efficient video processing. The board features are:

  • 3D graphics engine (Arm Mali-G31)
  • Video codec (H.264)
  • DDR4 or DDR3L memory interface
  • Low power Edge-AI and low heat dissipation.
  • As no heatsink or cooling fan is required, the equipment can be miniaturized and BOM cost can be reduced.
See lab in action

Capabilities

This LiveBench showcases the following: 

  • Run machine vision algorithms on different types of input feeds and different ML models and obtain comparison.
  • Monitor the voltage, current and power variations of the input power rail 
  • Thermal profiling of the SoM using a thermal camera.
  • Observe the electrical and system parameters variation by power cycling the board.
  • Benchmarking of the bare metal performance of the SoM using standard python scripts.
  • A live video feed of the test setup.

Features

  • Choose three different input feeds (Demo video, User uploaded video and live webcam feed) to run tests.
  • Choose from the following ML models – YOLOv3, HRNet, ResNet50 and TinyYOLOv2 to run tests.
  • Use the CLI interface to run benchmarking tests to determine bare metal performance of the SoM.
Resources

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