e-AI Solution
Endpoint Intelligence
Beginning with Endpoint Intelligence, Renesas aims to contribute to the realization of an eco-friendly, smart society that supports safer and healthy living in areas where this cannot be solved simply by using big data at clouds. With its flexible and scalable embedded artificial intelligence (e-AI) concept, Renesas offers a future proof real-time, low power AI processing solution that is unique in the industry and addresses the specific needs for artificial intelligence in embedded devices at the endpoint.
What is Renesas' e-AI Solution?
The Renesas e-AI development environment makes it possible to implement learned Deep Neural Network (DNN) results onto an MCU/MPU in conformance with an e² studio C/C++ project.
e-AI Demonstration Experiment
An e-AI demonstration experiment revealed that e-AI has greatly improved detection precision with regards to facility abnormalities that previously could only be properly judged by a skilled technician or operator.
e-AI Solution Use Cases
Renesas continues to explore new e-AI solutions including applications for smart factory, home and infrastructure, as well as service robots.
Neural Network Structures Convertible by Translator
Renesas' e-AI Translator is a tool that converts and imports the inference processing of neural network models which have been trained in an open-source deep-learning framework into source code files for the e² studio IDE.
Translator Tutorial
This tutorial introduces the procedure of outputting a file for the Renesas e-AI Translator and executing it on a Gadget Renesas board.
e-AI Development Environment & Downloads
Tools for running learned AI on Renesas MCUs and MPUs can be downloaded from our website.
Links & Contact Information
Submit inquiries and access additional information, development environments, supported products, and other resources.
Motor Failure Detection with e‑AI
This demonstration shows motor control and fault detection with a Renesas MCU.
Intelligent Manufacturing with e‑AI
This is a demonstration that an AI unit solution is connected to the actual equipment, and an abnormality judgment is made.
e-AI Solutions Accelerate Safety Monitoring for Manufacturing
A demonstration of predictive maintenance of equipment through the use of e-AI.
Cardiovascular Disease Predictor Reference Kit
A demonstration of a biological monitoring solution for home healthcare applications.
e-AI Healthcare Device Development Kit
A demonstration of the biomedical information monitor module.
Application Example of Device Coordination
A demonstration of a parking lot management system coordinating with peripheral devices.
Fault Forecasting Solutions for Office Automation Equipment
Using a printer as an example, this video shows a device forecasting its own failure.