Let’s perform Anomaly Detection using ML.Net on a drone flying data from Azure IoT
You can control a drone using 20 lines of code. That’s the easy part. Sending the drone telemetry to Azure IoT is a little tricky, however, it requires another 20 lines of code. And when all the information is on Azure IoT, we can perform Anomaly Detection on the drone telemetry using ML.Net on the cloud. We will use a simple house drone ($100), Python and C#. And, besides the drone telemetry analysis, I’ll share additional enterprise scenarios. Let’s build this!
- Learn how to create a drone sdk from scratch
- Learn to analyze and detect anomalies from drone telemetry data