RZ/V2N Based Edge AI Development Platform For ADAS

The Renesas RZ/V2N is a compact, high-performance MPU designed for real-time in-cabin sensing for automotive AI applications. Through the RZ/V2N ADAS demo on Renesas LotC/ LiveBench, developers can evaluate Driver Monitoring System (DMS) AI features such as gaze tracking, distraction detection, and drowsiness monitoring.

Powered by the DRP-AI3 accelerator delivering up to 15 TOPS, the RZ/V2N offers one of the best AI accelerators for driver monitoring, balancing high inference accuracy with low power consumption—ideal for low power  applications.

Key Features: 

• 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.

Use Cases:

• Driver Monitoring Systems (DMS)
• Industrial inspection
• Mobile robots
• Smart surveillance

Common developer queries—such as RZ/V2N gaze tracking performance, Renesas DRP-AI DMS benchmark, and how to test RZ/V2N for automotive AI—are all easily explored on Renesas LotC/ LiveBench.