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In this guide, you will learn how to get started using the Function Pack for Predictive Maintenance FP-AI-NanoEdg1 and use it as your first project to detect anomalies in your setup using accelerometer data.
This Function Pack supports two STM32 boards, STWIN and STM32L562E. Following the steps provided in this page a users will be able to create the data logs for their setups, and generate EdgeAi libraries using Cartesiam NanoEdge AI Studio. Once these libraries are generated the user can use these libraries by plugging them into the provided FP and can learn the nominal behavior of his setup by issuing commands through a command line interface. After training phase the monitoring can be started and any anomalies from the normal behavior are reported on the CLI as well as on the LCD (in case of L5).
1. What you will learn
- How to log the motion sensor data.
- How to parse and read the motion sensor data.
- How to generate the suitable libraries for your sample data set using Cartesiam NanoEdge AI Studio.
- Learn and detect the anomalies and controlling the hyper parameters of learning and detection.