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  3. AI on STM32: tinyML predictive maintenance in an STM32 microcontroller with NanoEdge AI Studio

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AI on STM32: tinyML predictive maintenance in an STM32 microcontroller with NanoEdge AI Studio

STMicroelectronics
In this demo we use NanoEdge AI to train a model inside an STM32 microcontroller to detect abnormal vibration patterns based on the signals acquired by an accelerometer. The trained model then detects any abnormal behavior from the machine. 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 #edgeai #tinyml Chapters 0:00 Intro 0:15 Hardware setup 0:27 Demo - Training phase 0:55 Demo - Detection of nominal state 1:09 Demo - Anomaly detection 1:33 Recap 1:48 Outtro SUBSCRIBE to our YouTube channel for more content like this: https://bit.ly/subscribe-stmicro-channel FOLLOW STMicroelectronics on Social Media: LinkedIn: http://bit.ly/Linkedin-STMicroelectro... Facebook: http://bit.ly/Facebook-STMicroelectro... Twitter: http://bit.ly/Twitter-STMicroelectronics Instagram: http://bit.ly/Instagram-STMicroelectr...

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