Accelerate “Real-time” and “Safety” with e-AI Solutions for Manufacturing

Smart Factories with e-AI

This video demonstrates the predictive maintenance of equipment through the use of e-AI. (Note, the AI unit can be retrofitted to existing equipment.)

e-AI determines whether there is an abnormality with the equipment at the endpoint itself, without having to upload a large amount of sensor data to the network.

By sending only evaluation results to the production management system, it can maintain real-time autonomous control without straining network bandwidth.

Renesas’ e-AI offering continues to contribute great strides to factory automation.

 

Added on 5月 24, 2018

A demonstration of predictive maintenance of equipment through the use of e-AI.


e-AI Solution Videos

1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.
4:03
Operational technology is a large and broad market that will be transformed by embedded artificial intelligence.
3:53
Data generated, processed, transmitted, stored, and analyzed by AI software demand that technology suppliers rethink how to build next-gen platforms.
1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.
4:03
Operational technology is a large and broad market that will be transformed by embedded artificial intelligence.
3:53
Data generated, processed, transmitted, stored, and analyzed by AI software demand that technology suppliers rethink how to build next-gen platforms.
1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.
4:03
Operational technology is a large and broad market that will be transformed by embedded artificial intelligence.
3:53
Data generated, processed, transmitted, stored, and analyzed by AI software demand that technology suppliers rethink how to build next-gen platforms.