Explore a hands-on demonstration of rapidly implementing anomaly detection on STM32 microcontrollers using the NanoEdge AI Studio tool in this 26-minute video tutorial. Learn to develop an Anomaly Detection use case and generate a library for integration within STM32 MCU embedded applications. Ideal for those interested in quick AI implementation on STM32 MCUs and engineers seeking tools to automate the machine learning process. Requires a STEWAL-STWINKT1B board, USB cables, and a Windows PC with NanoEdge AI Studio installed. Access workshop materials and prerequisites through provided links. Engage with the STMicroelectronics community forum for questions and share feedback via the anonymous survey.
Rapid Development of Anomaly Detection on STM32 Using NEAI Studio - Lab Practice
STMicroelectronics via YouTube
Overview
Syllabus
Rapid development of anomaly detection on STM32 using NEAI Studio - 4 NEAI lab practice
Taught by
STMicroelectronics
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