RZ/V2H Quad-core Vision AI MPU Evaluation Kit
The RZ/V2H AI MPU evaluation kit (RTK0EF0168C04000BJ) is used to evaluate Renesas' RZ/V2H quad-core vision AI MPU. The kit includes a CPU board and an expansion (EXP)...
The RZ/V2H high-end AI MPU boasts Renesas' proprietary dynamically reconfigurable processor AI accelerator (DRP-AI3), quad Arm® Cortex®-A55 (1.8GHz) Linux processors, and dual Cortex®-R8 (800MHz) real-time processors. Furthermore, the RZ/V2H also includes another dynamically reconfigurable processor (DRP). This processor can accelerate image processing, such as OpenCV, and dynamics calculations required for robotics applications. It also features high-speed interfaces like PCIe®, USB 3.2, and Gigabit Ethernet, making it an ideal microprocessor for applications such as autonomous robots and machine vision in factory automation, where advanced AI processing must be implemented with low power consumption.
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Software type
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Company
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RZ/V2H AI Software Development Kit RZ/V2H AI Software Development Kit (AI SDK) is an AI application development environment for the RZ/V2H Evaluation Board Kit.
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Software Package | Renesas |
RZ/V series AI Apps & AI SDK (GitHub) The AI SDK enables easy and rapid development of AI applications using Renesas' RZ/V series evaluation kits. Additionally, it offers a range of AI applications free of charge.
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Software Package | Renesas |
DRP-AI Extension Pack (Pruning Tool) The DRP-AI Extension Pack provides a pruning function optimized for RZ/V2H. This pruning function optimized for the DRP-AI can be used in combination with the training code written with the use of PyTorch or TensorFlow.
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Imaging | Renesas |
DRP-AI Translator i8 [V1.02] This is an AI model conversion tool (DRP-AI Translator i8) for DRP-AI equipped products (INT8 architecture). Please check the Release Notes and User's Manual first before using this product.
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Imaging | Renesas |
DRP-AI TVM (GitHub) We provide an AI model conversion tool (DRP-AI TVM) for DRP-AI-equipped products. When using this product, please check the contents of the linked README.md first.
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Software Package | Renesas |
RZ/V2H ROS2 Support Package The RZ/V2H ROS2 Support Package provides the ROS2 installation procedure on the RZ/V2H.
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Software Package | Renesas |
RZ/V2H ROS2 Sample Application Package The RZ/V2H ROS2 Sample Application Package provides applications running on the RZ/V2H.
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Software Package | Renesas |
RZ/V Multi-OS Package RZ/V Multi-OS Package is the software package consisting of RZ/V Flexible Software Package (FSP) as software package for Renesas MCU with Arm® Cortex-M, Cortex-R Core and OpenAMP as standardization API of framework for interprocessor communication for developing multi OS solution.
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Software Package | Renesas |
RZ MPU Graphics Library Evaluation Version for RZ/V2 This product provides the Graphics Library for Mali GPU on RZ/V2L and RZ/V2H. You can use the graphics function on them by building according to the integration guide which is enclosed in the download file.
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Software Package | Renesas |
RZ MPU Security Package (Linux OS) Security Package for RZ MPUs. This package is used in combination with the Linux package provided for each device.
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Software Package | Renesas |
SEGGER J-Link and J-Trace PRO The J-Link debug probes offer full support for RA Family MCUs. With their outstanding performance, robustness, and ease of use are widely recognized as the market-leading debug probes today.
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Emulator | SEGGER |
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The RZ/V2H AI MPU evaluation kit (RTK0EF0168C04000BJ) is used to evaluate Renesas' RZ/V2H quad-core vision AI MPU. The kit includes a CPU board and an expansion (EXP)...
Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on products in the Product Options table. If a symbol or model isn't available, it can be requested directly from the website.
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 AI Software Development Kit
Chapter's Title & Time
00:00 Opening
00:46 Preparation
03:39 Set up AI SDK
07:56 Run the Application
23:18 Ending
Blog Post | Apr 4, 2024 | ||
Blog Post | Feb 27, 2024 |