e-AI 解决方案

RZ/A2M 微处理器

瑞萨电子 RZ/A2M 微处理器采用动态可重新配置处理器 (DRP) 技术，基于 Arm Cortex®-A9 处理器以及行业领先的 4MB 片上存储器提供了创新的架构。

动态可重新配置处理器 (DRP)

瑞萨电子提供的 DRP 技术利用时空复用将图像处理速度提高了 10 倍以上，并借助 RZ 系列 MPU 支持创新的 e-AI 应用。

SOTB™ 制程技术

• 什么是SOTB制程？
• SOTB的优势是什么？

什么是瑞萨电子的e-AI解决方案？

任何人都可通过使用由加州大学伯克利分校开发的Caffe或由Google开发的TensorFlow，从而较容易地使用AI（人工智能）。

e-AI 演示实验

通过e-AI在半导体前端工厂-- Renesas Naka工厂 -- 来进行（2015年）设备异常检测和预测性维护的演示实验。

可通过转换器转换的神经网络结构

转换器（免费版）支持具有相对较小ROM/RAM容量的微控制器。为了确保压缩库可使用的容量，只有神经网络经常使用的函数才能获得支持。

转换器教程本教程

以一个著名的神经网络为例说明如何使用转换器。

开发环境和下载

可以从我们的网站下载用于瑞萨MCU和MPU上运行学习型人工智能的工具。
e-AI Translator V1.6.0 is released in November 2020. The new features are translation of neural networks with branch structures, addition of RAM usage reduction function, and so on.

下载链接和联系信息

查询和信息，开发环境/支持的产品和其他链接。

e-AI Solution

Renesas embedded AI connects us to machines we rely on with more speed and precision, even sensing and addressing problems before they arise.

e-AI Motor Control Failure Prediction

Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.

Intelligent Manufacturing with e-AI

This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.

Solutions for Manufacturing that Accelerate "Real-time" and "Safety"

This video demonstrates predictive maintenance of equipment through the use of e-AI.

Cardiovascular Disease Predictor Reference Kit

This video shows a demonstration of a biological monitoring solution for home healthcare applications.

e-AI Healthcare Device Development Kit

This video provides a demonstration of the biomedical information monitor module.

Device Coordination Application with e-AI

This video shows a demonstration of a parking lot management system coordinating with peripheral devices.

Forecasting Solutions for Office Automation Equipment

Using a printer as an example, this video shows a device forecasting its own failure.

Object Detection Via SSD

OpenCV DNN inference running a Mobilenet SSD model demonstrate an end-point AI solution delivered through high-performance CPU cores.

Object Recognition with OSS AI Frameworks on the RZ/G1 MPU

Integrated support for popular AI frameworks and multiple open-source AI models makes it easy to start designing an embedded AI application.

Facial Recognition

An RZ/A1H MPU performs facial recognition and classification to offer content targeting different demographics.