Advanced Sensor Anomaly Detection

In this IoT Central MicroSession with Edge Impulse, learn how you can easily create a machine learning classifier to detect anomalous sensor readings using only nominal training data for embedded machine learning models directly in the Edge Impulse Studio.

Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: mobile phone or a microcontroller with accelerometer sensor

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
Previous

Arduino Portenta X8: Superpower Your Linux Applications with Real-Time Execution

Next

Accelerating IoT - Fastest Way to MVP