Computer Vision

RZV2MA SMARC SOM

Overview

The RZ/V2MA SMARC SOM is a state-of-the-art LSI (Large Scale Integration) chip equipped with a highly power-efficient AI accelerator (DRP-AI) and an OpenCV accelerator for pre/post AI processing, designed to optimize AI inference performance while minimizing power consumption (1 TOP/Watt) . Featuring dual Cortex-A53 CPU cores and extensive high-speed interfaces, this chip is ideal for advanced embedded AI applications.

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Capabilities

AI Acceleration: Equipped with DRP-AI providing 1.0 TOPS/W class power performance and OpenCV accelerator for high-performance image processing without API modifications.
High-Speed Interfaces: Includes 1× Gigabit Ethernet, 1× USB3.1 Gen1, 1× PCIe® Gen 2 (2 lanes), 2× SDIO 3.0, and 1× eMMC™ 4.5.1 for versatile connectivity options.
Video and Graphics Processing: Supports H.265/H.264 multi codec with encoding capabilities up to 2160p for H.265 and up to 1080p for H.264.
Memory and CPU: Features dual Cortex®-A53 CPUs running at up to 996 MHz and 32-bit LPDDR4-3200 memory interface for robust processing power and memory bandwidth.
Compact Package: Comes in an FCBGA package with a 15×15 mm size and 0.5-mm pitch, suitable for space-constrained applications.

Features

Run machine vision algorithms on three different types (Demo video, User uploaded video and live webcam feed) of input feeds .
Compare the performance of different models of object detection, pose estimation etc.
Monitor the voltage, current and power variation in the input power rail
Monitor temperature variations in the system using a thermal camera.
Observe the electrical and system parameters variation by power cycling the board.
Benchmark the performance of the board using standard python script and a CLI.

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