概述
描述
AI Navigator, which integrates the functionality required for edge AI development, can be used to shorten development time.
Please refer to the AI Navigator Quick Start Guide for the installation and basic usage.
[RA8] Quick Start Guide : in Chapter "Running RUHMI with AI Navigator" within Renesas RUHMI Framework Quick Start Guide
[RZ/V] Quick Start Guide : in RZ/V AI Web (GitHub)
特性
- Navigating through the simple development of AI applications
- Providing a variety of sample AI applications and sample AI models to shorten the periods for evaluating devices and developing applications
- Providing a transfer learning feature for the sample AI models to shorten the design processes and learning times for AI model
- Converting the AI models into executable files that are optimized for Renesas devices and making effective use of the hardware accelerator
- Learn More
发布信息
| Product Name | Latest Ver. | Released | Target Device (Note1) | Details of upgrade | Operating Environment |
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| AI Navigator | V2.2.0 | Jun. 12, 2026 | RA Family RZ Family | See Release Note | e² studio plug-in Operating Environment |
Notes
- For details on supported MCUs and MPUs, refer to the section Target Devices.
目标设备
下载
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| 类型 | 文档标题 | 日期 |
| 升级 - IDE | e² studio 2026-04.2 installer for Linux
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| 升级 - IDE | e² studio 2026-04.2 installer for Windows
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| 升级 - IDE | e² studio 2025-12 installer for Linux
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3 项目
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文档
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| 类型 | 文档标题 | 日期 |
| 发行说明 |
PDF
399 KB
日本語
AI Navigator is a set of plugins for e2 studio which is an integrated development environment (IDE) for Renesas devices.
AI Navigator makes it possible to integrate and operate the various functions required for AI embedded system development. This helps the development period shorter.
This document describes the contents of AI Navigator v2.2.0, such as changes from the previous version, restrictions and so on. Please read it before using this tool.
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| 快速入门指南 |
PDF
2.59 MB
A practical guide to deploying AI models on Renesas RA MCUs using the RUHMI (Robust Unified Heterogeneous Model Integration) framework. It explains model quantization, compilation, and C/C++ code generation via AI Navigator GUI or CLI, supporting TensorFlow Lite, ONNX, and PyTorch/ExecuTorch with optional Arm Ethos‑U acceleration.
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| 传单 | PDF 359 KB English , 日本語 | |
| 工具新闻 - 发布公告 |
PDF
214 KB
日本語
This is a Tool News announcing the revision of AI Navigator V2.1.0, IDE for AI Applications.
AI Navigator offers a comprehensive suite of functionalities, including AI model conversion, utilization of sample applications, and support for transfer learning.
The main revision upgrades are support for RA8 series devices, additional sample AI applications, automatic installation of the RUHMI framework, and compatibility with RZ/V AI TLT v6.00 have been implemented.
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| 发行说明 |
PDF
477 KB
日本語
This document is the release note for AI Navigator v2.1.0.
AI Navigator is a suite of AI development support plugins for Renesas e² studio, an integrated development environment for Renesas products.
It supports RA8 and RZ/V series, providing various functions such as AI model conversion, sample application usage, and transfer learning.
In this version, support for RA8 series devices, additional sample AI applications, automatic installation of the RUHMI framework, and compatibility with RZ/V AI TLT v6.00 have been implemented.
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| 工具新闻 - 发布公告 | PDF 153 KB 日本語 | |
| 发行说明 | PDF 740 KB 日本語 | |
| 工具新闻 - 注意事项 | PDF 153 KB 日本語 | |
| 工具新闻 - 发布公告 | PDF 229 KB 日本語 | |
| 发行说明 | PDF 573 KB 日本語 | |
| 工具新闻 - 发布公告 | PDF 148 KB 日本語 | |
| 发行说明 | PDF 519 KB 日本語 | |
| 工具新闻 - 发布公告 | PDF 148 KB 日本語 | |
13 项目
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设计和开发
相关评估板和套件
RA8P1 MCU 群组评估套件
EK-RA8P1 评估套件旨在用户能够轻松评估 RA8P1 MCU 功能，并使用瑞萨电子的灵活配置软件包 （FSP） 和 e2 studio IDE 开发嵌入式系统应用程序。 用户可以利用丰富的板载功能和选择常用的生态系统附加组件来实现广泛的应用程序，包括人工智能 （AI） 和物联网 （IoT）。 为用户提供了一套示例项目包可供下载，能快速评估关键外设性能，从而加速概念验证开发进程。
该套件包含一个 7.0 英寸、1024x600 并行接口 LCD 板和一个 5百万像素摄像头模块。 套件中预装了展示 RA8P1 卓越性能的演示。 将 LCD 板和摄像头模块与 EK-RA8P1... 阅读详情
RA8D1 MCU 群组评估套件
EK-RA8D1 评估套件可通过瑞萨电子的灵活软件包 (FSP) 和 e2 studio IDE，帮助用户轻松评估 RA8D1 MCU 产品组的特性，并开发嵌入式系统应用程序。 用户可利用丰富的板载功能以及自选的热门生态系统插件来将丰富创意变为现实。
EK-RA8D1 套件由三块板组成：EK-RA8D1 板采用 RA8D1 MCU 和片上图形 LCD 控制器，MIPI 图形扩展板采用 4.5 英寸 TFT 彩色 LCD (480 x 854)，带电容式触摸覆盖层，而摄像头扩展板则采用 300 万像素 CMOS 图像传感器。
入门
运行快速入门示例项目
- EK-RA8D1... 阅读详情
基于 RA8D1 的 AI 开发平台
AIK-RA8D1 为开发人员提供了多种灵活的外扩连接，以加快 AI/ML 系统的开发。 硬件平台便捷易用，适用于以 RA 系列 32 位 MCU 中 RA8D1 MCU 为基础的多种 AI/ML 解决方案。
该硬件平台旨在用于支持视觉、实时分析和音频等各种 AI/ML 使用案例。 它允许用户将不同的插件式传感器与可用的板载模拟麦克风、摄像头进行灵活多样的组合。
该套件由 Reality AI Software 支持进行实时分析，并由 Renesas Ready 合作伙伴网络 支持用于基于特定视觉和音频的使用案例。
AIK-RA8D1... 阅读详情
RA8M1 语音用户演示套件
易于使用的硬件平台，适用于 RA8M1 MCU 的语音用户界面 (VUI) 解决方案。
此 VUI 合作伙伴解决方案基于 RA 系列 32 位 MCU。 该硬件平台用于瑞萨电子在 Renesas Ready 合作伙伴网络中提供的所有 VUI 合作伙伴解决方案。 此平台简单易用，无需丰富的编程经验或内部专业知识即可使用简单的语音命令界面控制系统。
借助强大的 RA8M1 MCU，您将构建一个增强的工作解决方案来识别和执行您自己的语音命令，并可以在完整的端到端 AI/ML 语音解决方案中部署自然语言理解 （NLU） 模型。
RZ/V2L 评估板套件
该评估板套件适用于评估 RZ/V2L。 RZ/V2L 评估板套件由模块板 (SOM) 和扩展板组成。 此外，产品附带 MIPI 摄像头模块 (MIPI CSI)。 扩展板通常适用于按照 SMARC v2.1 标准制备的 RZ/G2L，RZ/G2LC，RZ/G2UL，RZ/V2L模块 (SOM)。 基于这种适用性，在使用这些设备时，您可以体验到无缝且灵活的评估。
远程测试该板卡
RZ/V2H 四核视觉 AI MPU 评测套件
RZ/V2H AI MPU 评测套件 (RTK0EF0168C04000BJ) 用于评测瑞萨电子 RZ/V2H 四核视觉 AI MPU。 该套件包括 CPU 板和扩展 (EXP) 板。 支持 RZ/V2H 标准软件包，能轻松实现低功耗 AI 推理和视频流等软件开发任务。 此外，这款评测套件还支持图像信号处理器 (ISP)、3D 图形引擎 (GE3D) 和可信安全 IP 等可选功能。
远程测试该板卡
RZ/V2N 四核视觉 AI MPU 评测套件
RZ/V2N AI MPU 评测套件 (RTK0EF0186C03000BJ) 用于评测我们的 RZ/V2N 四核 视觉 AI MPU。 该套件包括一块 CPU 评测板、扩展 (EXP) 板和两块子板。 我们提供了 AI 软件开发包 (AI SDK) 作为该评测套件的软件开发环境。 它支持对低功耗 AI 推理、视频流和其他内置功能进行评测。 该套件还支持图像信号处理器 (ISP)、3D 图形引擎 (GE3D) 和可信安全 IP 等可选功能。
视频和培训
AI Navigator simplifies the process of developing and running AI applications within the e2 Studio integrated development environment.
This video demonstrates how to install AI Navigator and import and run RZ/V AI applications.
Additional Details
Features
Navigating through the simple development of AI applications
AI Navigator provides navigation through the development of AI applications via a GUI and supports the implementation of AI applications to run on Renesas devices through the shortest steps.
This tool also provides guidance on downloading and installing toolchains for use in the development of AI applications. Accordingly, you can easily construct a development environment for AI applications by installing this plugin into e² studio.
Providing a variety of AI applications and AI models
You can import a variety of AI applications provided by Renesas from the application catalog available in the GUI of AI Navigator.
Use any of the evaluation boards listed below to quickly experience examples of embedded applications employing AI and see the performance of Renesas devices.
| Supported evaluation boards | EK-RA8D1, EK-RA8P1 |
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| RZ/V2H Evaluation Board Kit, RZ/V2L Evaluation Board Kit, RZ/V2N Evaluation Board Kit |
Shortening the periods for developing applications
The AI application also contain converted AI models which are executable on the target devices, so you can easily try AI applications on an evaluation board.
The executable AI models have been released as open source. Accordingly, you can use them with your own applications and thus shorten the periods for the development of AI models.
Providing a transfer learning feature for the AI models
In combination with the transfer learning tool, AI Navigator provides a transfer learning feature for AI models in the AI applications with the use of desired datasets.
| AI transfer learning tool | Supported Devices | Related web page |
|---|---|---|
| RZ/V AI TLT | RZ/V2H, RZ/V2L, RZ/V2N | How to Re-train AI model (GitHub) |
Shortening the design processes and learning times for AI models
You can tune the AI models in the AI applications which have already been designed and learned to suit your purposes, thus shortening the design processes and learning times for AI models.
Converting the AI models into executable files that are optimized for Renesas devices
In combination with the AI model conversion tools provided by Renesas, a desired AI model can be converted into an executable format that takes advantage of the hardware accelerator on the target device.
The AI models converted into executable files that are optimized for Renesas devices achieve more lightweight model sizes and faster performance on inference.
| AI Model Conversion Tool | Supported Devices |
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| RUHMI Framework | RA8 Series RZ/V2H, RZ/V2L, RZ/V2N |
