Edge AI, Computer Vision, MCU/MPU, MPU

RZ/V2N Based Edge AI Development Platform For Robotic Arm

Overview

The RZ/V2N from Renesas is a high-performance vision AI microprocessor (MPU) designed for edge applications that demand both advanced AI inference and low power consumption. Powered by Renesas’ proprietary DRP-AI3 accelerator delivering up to 15 TOPS, it is optimized for real-time vision processing in compact, energy-efficient systems.

The key board features include:

CPU Architecture: Quad Arm® Cortex®-A55 (1.8 GHz) + Arm® Cortex®-M33 (200 MHz).
Image Processing: Integrated ISP with dual-channel MIPI® CSI-2® interfaces for dual-camera support.
Connectivity: High-speed PCIe® and USB 3.2 for device expansion and system integration.
Power Efficiency: Optimized for low power consumption, making it suitable for edge devices.

Practical Applications and Use Cases

Driver Monitoring Systems (DMS)
Monitoring and Surveillance Cameras
Mobile Robots and Robotics
Industrial Visual Inspection

Capabilities

Run robotic arm–based pick-and-place applications to evaluate MPU performance with DRP-AI
Build applications from scratch on the Ubuntu 20.04 Edge AI development platform
Test performance and download final applications for deployment on native systems
Upload and evaluate custom applications

Features

Live thermal profiling of junction and package temperature
Dhrystone benchmarking and compute tests to measure barebone performance
Live CPU, memory data
Program output logs for debug

Other Labs

RZ/V2L SMARC: Vision AI

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RZ/V2M: Vision AI Platform Reference Design

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Resources

Dive Deeper

Explore our comprehensive library of materials to gain valuable insights, discover success stories, and learn how our solutions can benefit your specific needs.

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IC Evaluation for Vision AI Applications: How TenXer Labs’ LiveBench Empowered a Global Semiconductor Manufacturer

By providing a streamlined and efficient platform for vision AI IC evaluation, TenXer Labs’ LiveBench empowered the semiconductor manufacturer to enhance customer satisfaction, accelerate product adoption, and strengthen their competitive position in the market.

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RZ/V2N Vision AI MPU: Edge AI Development Platform for Robotic Arm Pick-and-Place | TenXer Labs LiveBench

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Reference Design of Robotic Vacuum: Comprehensive Guide to Motor Control Systems

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Expanding Power Device Adoption

Tapping the Long Tail

The Role of DC-DC Converters in Power Management

FAQs

The RZ/V2N is a more compact, power-efficient “mid-class” version compared to RZ/V2H. It has a lower thermal budget and is targeted for use cases where fan-less or minimal cooling is preferred.

For RZ/V2N, Renesas currently supports Linux Kernel 5.10 and Yocto 3.1 (Dunfell).

Renesas provides a reference power consumption guide (typical) for different use-cases ranging from 3W-6W.

Yes, users can code using development environment.

No — we provide user space management so each user’s work and IP remain protected.

Priyanka C

As the Director of Marketing at TenXer Labs, Priyanka spearheads strategic initiatives to position the company as a leader in the semiconductor industry. Leveraging her extensive experience over 10 years, she crafts compelling narratives that highlight TenXer Labs’ solutions, fostering brand awareness and driving business growth.