NanoEdge AI Studio V3 - Anomaly Detection demo
Channel: STMicroelectronics
Date: 2022-02-25

Here is a full anomaly detection project walkthrough using NanoEdge AI Studio V3 for the creation of a smart vibration sensor using the STEVAL-STWINKT1B.

Learn more about NanoEdge AI from the ST Wiki: https://wiki.st.com/stm32mcu/wiki/Category:NanoEdgeAI

Try NanoEdge AI Studio today: https://bit.ly/YT-stm32nanoedgeai
Find out more information about AI solutions at STMicroelectronics: https://bit.ly/YT-stm32ai 

NanoEdge AI Studio simplifies the creation of machine learning libraries (anomaly detection, classification, regression, and outlier detection) for direct implementation on any STM32 microcontroller. 
NanoEdge AI Studio makes it easier for users to integrate cutting-edge machine learning capabilities quickly, easily, and cost-effectively into their equipment. No data-science expertise is needed.

Do you have questions on NanoEdge AI Studio and how you can implement edge AI machine learning capabilities on our STM32 microcontroller family? Feel free to ask in the comments section or via the ST Community.

#edgeai #tinyml

0:00 – Introduction
1:47 – Datalogger
2:48 – Setup description
4:23 – Project creation
5:42 – Regular signals import
8:26 – Abnormal signals import
9:56 – Benchmark
13:48 – NEAI Functions
14:17 – Library testing
15:42 – Library deployment 
16:30 – Code overview
17:19 – Final demo
18:59 – Conclusion

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