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描述

Topics
AI Navigator v1.3.0 Release Note (PDF | English, 日本語)
- Support RZ Family RZ/V2N group
- RZ/V AI software development kit (AI SDK) v5.00 (DRP-AI TVM v2.3.0) is now supported.

The functions required for the development of embedded systems that use AI have been integrated in AI Navigator, shortening the development periods.

Please refer tothe AI Navigator Quick Start Guide for the installation and basic usage.

AI Navigator Quick Start Guide (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 NameLatest Ver.ReleasedTarget Device (Note1)Details of upgradeOperating Environment
AI NavigatorV1.3.0May 9, 2025RZ FamilySee Release Notee² studio plug-in Operating Environment

Notes

  1. For details on supported MCUs, refer to the section Target Devices.

目标设备

文档

类型 文档标题 日期
发行说明 PDF 519 KB 日本語
工具新闻 - 发布公告 PDF 148 KB 日本語
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设计和开发

相关评估板和套件

视频和培训

AI Navigator Tutorial #1 - Run AI Application

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. For training and converting an AI model and building an AI application, please refer to the video titled "AI Navigator Tutorial #2 - Customize AI model by Transfer Learning Tool."

Related Resources

AI Navigator Quick Start Guide

Additional Details

Features

Navigating through the simple development of AI applications

AI Navigator provides simple GUI operations for navigating through the development of AI applications to run on Renesas devices and supports the development of AI applications that make full use of Renesas devices through the shortest procedures.

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.

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1 navigate environment

Providing a variety of sample AI applications and sample AI models to shorten the periods for evaluating devices and developing applications

You can import a variety of sample AI applications and sample AI models from AI Application Zoo that Renesas provides. The sample AI applications also contain executable AI models for the target devices, so you can easily try AI applications on the evaluation board.

The executable AI models have been released as open source. If you find an AI model that suits your purpose, you can also use it with your applications and thus shorten the periods for the development of AI models.

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2 AI application and model

Providing a transfer learning feature for the sample AI models to shorten the design processes and learning times for AI models

Some AI models in the sample AI applications can be customized with the use of datasets prepared by the user using the transfer learning feature that the AI Navigator provides.

You can tune the AI models which have already been designed and learned to suit your purposes, thus shortening the design processes and learning times for AI models.

This feature is also recommended for beginners in the development of AI models who are familiar with the use of this plugin environment in the development of AI applications and want to create new AI models.

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3 AI model training

Converting the AI models into executable files that are optimized for Renesas devices and making effective use of the hardware accelerator

The sample AI models in the AI applications are provided as executable files which have been optimized for Renesas devices, providing you with an easy way to experience high-performance AI processing.

For devices of the RZ/V series, which are currently supported as the target MCUs, the AI models are converted into an executable format*1 that takes advantage of the DRP-AI hardware AI accelerator. This implements AI processing performance which is not achievable with normal embedded software.

The conversion tool provided with this plugin is capable of converting AI models which have been customized by transfer learning into an executable format that is optimized for the given target device.

*1 DRP-AI TVM: https://www.renesas.com/ai-tool-drp-ai-tvm