Renesas embedded AI connects us to machines we rely on with more speed and precision, even sensing and addressing problems before they arise.
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
This video demonstrates predictive maintenance of equipment through the use of e-AI.
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
This video provides a demonstration of the biomedical information monitor module.
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
Using a printer as an example, this video shows a device forecasting its own failure.
OpenCV DNN inference running a Mobilenet SSD model demonstrate an end-point AI solution delivered through high-performance CPU cores.
Integrated support for popular AI frameworks and multiple open-source AI models makes it easy to start designing an embedded AI application.
An RZ/A1H MPU performs facial recognition and classification to offer content targeting different demographics.