RZ/V2H 四核视觉 AI MPU 评测套件

This video demonstrates the RZ/V2H evaluation kit, designed to evaluate Renesas' RZ/V2H quad-core vision AI MPU. The kit includes a CPU board and an expansion (EXP) board, supporting standard software packages for the RZ/V2H.

Learn how to set up the build environment and build the board support package (BSP) for the Renesas RZ/V2H evaluation kit. The process covers host environment setup, layer configuration, and BSP build execution, as well as preparing the generated binaries and deploying them to the evaluation board.

Learn how to start up the RZ/V2H Evaluation Kit using an SD card. We walk through how to prepare the bootloader and filesystem, configure DIP switch settings, and complete the boot process. We demonstrate typical boot logs and share troubleshooting tips for power, clock, and peripheral initialization to help you validate a successful startup and begin development with confidence.

This video shows how to run AI applications on RZ/V2H Evaluation Board Kit (EVK), using RZ/V2H AI Software Development Kit Version 3.00.

Related Resources

• RZ/V2H EVK
• RZ/V2H AI Software Development Kit

本视频演示了如何在 RZV2H 评估板套件上运行 RZ/V2H AI 应用演示。

This demo highlights the unique features of the RZ/V2H processor, including its proprietary dynamically reconfigurable AI accelerator (DRP-AI3), quad Arm^® Cortex^®-A55 Linux processors, and dual Cortex^®-R8 real-time processors. 

These components enable real-time AI vision and advanced robotics, supporting intuitive, gesture-controlled manipulation. With exceptional image processing and dynamic calculation capabilities, the system is ideal for applications such as autonomous robots and machine vision in factory automation.

Related Resources

• Dexterous Hand
• RZ/V2H
• RZ/V2H-EVK
• RZ/V2H AI Software Development Kit

This video demonstrates the Renesas AI Model Deployer, a GUI-based tool integrated with NVIDIA’s TAO Toolkit. Designed to run locally on standard workstations, it simplifies AI model development and deployment for object detection and image classification at the edge.

This video demonstrates sample use cases of AI applications, specifically "Defense Against Wild Animals for Crops," using the RZ/V2H. The application is designed for the agriculture sector and helps detect the types of animals entering farms or barns, supporting pest control efforts.

This video highlights sample use cases of the AI application, "Conference Room Usage Monitor," designed for the RZ/V2H. This smart building solution helps determine whether a meeting room is vacant or occupied by counting the number of people in the space.

This video shows sample use cases of the AI application "Access Control" for RZ/V2H. The application is designed for the industrial sector and monitors the total number of visitors who have passed through the entrance and exit.