Trail Camera Demonstration Kit
The Trail Camera demonstration showcases the capabilities of the dynamically reconfigurable processor for AI (DRP-AI) subsystem in the RZ/V2L SoC along with a...
Overview
Description
The Avnet RZBoard V2L is a power-efficient, vision-AI accelerated development board, optimized for artificial intelligence (AI)/machine learning (ML) applications. Its compact Raspberry Pi single-board computer form factor features a versatile set of expansion interfaces, facilitating the use of hardware accessories like HDMI or MIPI display, camera, and HAT/shield add-on boards, providing an ideal platform for software development and evaluation of the Renesas RZ/V2L multicore processor family.
Features
- Low power Edge AI under 5W
- 4 selectable neural networks
- 17-point pose detection with high-resolution net (HRNet)
- 17-point pose detection with HRNet, Tiny YOLOv2
- Object classification ResNet50
- Object classification with bounding boxes Tiny YOLOv2
Applications
Applications
Documentation
= Featured Documentation
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Design & Development
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The Avnet RZBoard V2L is a compact embedded system optimized for AI/ML or embedded vision applications. The user can run various image processing algorithms with this board.
This demo showcases a Vision AI solution using the RZ/V2L MPU and provides visual inspection using LEGO block to detect dents on target products in the production line.