
Hi !
April is gone, and also my event-free calendar until May. And I’m super lucky to host a session at the
Virtual ML.Net Community Conference
The Virtual ML.NET Community Conference is a 2-day community driven conference on all things ML.NET.
Virtual ML.Net Community Conference
The conference will be streamed live on Twitch and YouTube.It’s 100% free and open for everyone. The talks will be both technical and inspirational.
We hope you’ll join us! Join the community lounge Slack channel to connect with other ML.NET enthusiasts!
I’ll be talking about drones, however this time I’ll put on hold Computer Vision scenarios and I’ll work with the drone telemetry. I’ll use ML.Net to analyze the telemetry and detect anomalies. This will be a fun one.
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!

Let’s check Goku The Cat 🐈⬛ hitting the drone is detected as an anomaly !
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
More info in https://beacons.ai/elbruno
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