AI on STM32 : Condition monitoring and motor control with FP-AI-NANOEDG1

Condition Monitoring solution for Predictive maintenance is available in FP-AI-NANOEDG1 function pack for STM32Cube. Running on Ultra Low Power STM32 MCUs this code example package allows to quickly create and fine tune condition monitoring application for user equipment. Implemented on Motor control MCU such as STM32G4 this pack allows users to run both motor control and condition monitoring algorithms on the same microcontroller. This demo shows you how wide is the panel of Artificial Intelligence applications you can develop on STM32.