Renesas — RZ/V2N Quad-Core Vision AI Microprocessors (MPUs)

Renesas RZ/V2N Quad-Core Vision AI Microprocessor (MPU)

Featuring a 2-camera connection and excellent power efficiency

The RZ/V2N is a next-generation AI microprocessor (MPU) in Renesas’ RZ/V series, featuring the proprietary DRP-AI3 accelerator, which delivers up to 15 TOPS AI performance with industry-leading power efficiency of 10 TOPS/W - 10 times greater than previous models. With its balance of low power consumption and high AI inference capability, the RZ/V2N is ideal for Edge AI use cases such as Driver Monitoring Systems (DMS), surveillance cameras, mobile robots, and more.

Built around quad Arm® Cortex®-A55 (1.8GHz) and Arm Cortex-M33 (200MHz) cores, the RZ/V2N includes dual-channel MIPI® CSI-2® interfaces for simultaneous input from two cameras. This dual-camera support enables broader field-of-view and more accurate AI detection, crucial for modern vision systems.

The inclusion of an Image Signal Processor (ISP) ensures high-quality image preprocessing, while high-speed interfaces such as PCIe® and USB 3.2 allow seamless expansion with external devices.

Key Benefits and Features:

• Top-Class AI Inference Performance:
  With DRP-AI3 and advanced pruning techniques, the RZ/V2N achieves real-time AI processing and up to 3x better inference performance than conventional accelerators.
• Compact and Power-Efficient Design:
  With a 38% smaller package size than its predecessor (RZ/V2H), and 10x power efficiency improvement, the RZ/V2N supports installation in compact, battery-operated devices.
• Accelerated Development via SOM Boards:
  Available on a compact SOM board, the RZ/V2N offers a ready-to-use platform that simplifies hardware integration, allowing developers to fast-track prototyping and product deployment.
• Flexible and Scalable Architecture:
  The RZ/V2N shares CPU cores, the ISP, and DRP-AI3 with the RZ/V2H, enabling reusability of existing designs and reducing time-to-market and development costs across the RZ/V family.
• Advanced I/O and Peripheral Support:
  Improved internal bus speeds enhance system performance, while PWM Timer resolution and ADC conversion speeds are optimized for precision applications.

With its versatile feature set and superior AI capabilities, the RZ/V2N delivers unmatched performance in vision AI at the edge—helping customers build smarter, faster, and more efficient AI solutions.

Features

Applications

RZ/V2N Block Diagram