AI on STM32: Filter clogging detection on an X-NUCLEO-IHM07M1board with NanoEdge AI Studio



In this demo we use NanoEdge AI to implement edge AI anomaly detection capabilities in an AC unit’s filter brushless motor. For the experiment we use an X-NUCLEO-IHM07M1, a three-phase brushless DC motor driver expansion board based on the L6230 for STM32 Nucleo, and a BR2804-1700 kV brushless motor. Learning and inference are done directly in the microcontroller without any pre-trained model required.

Be sure to take a quick tour of the brand new NanoEdge AI Studio V3 and learn how it can help simplify the creation of machine learning capabilities at the edge with our popular STM32 family of microcontrollers. Try it today at: https://bit.ly/YT-stm32nanoedgeai

To find out more information about AI solutions at STMicroelectronics: https://bit.ly/YT-stm32ai

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Chapters
0:00 Intro
0:15 Demo- Learning phase
1:20 Demo – Anomaly detection
2:05 Recap
2:30 Outtro

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