Bruno Capuano

Information & Communications Technology

Artificial Intelligence Machine Learning and Artificial Intelligence Machine Learning Mixed Reality Microsoft MVP

Toronto, Ontario, Canada

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!

1st part of the track is about how to create an SDK to control the drone. 2nd part is how to send the telemetry to Azure IoT. 3rd part is how to analyze this telemetry using ML.Net. 4th part is to share real scenarios on where to apply this. I’m planning to spend +60% of the session on steps 3 and 4.
For each event, I prepare a custom demo for the 2nd part :D


Bruno Capuano

Sr Cloud Advocate 🥑 @Microsoft

💬 On 2021 I joined Microsoft as Senior Cloud Advocate 🥑. Before this I was a Microsoft MVP for 14 years, since 2008. The past 4 years I was awarded in the Artificial Intelligence category.

🌱 Previous to Microsoft, I was leading the Innovation Team for Avanade Canada, which means I spent much part of my time trying to figure our the best way to connect real Business with cool technologies, and engage my colleagues to perform smart and fun activities like participate in hackathons, coordinate hackathons and Innovation Contests, support tech meetings, and more!

🤖 Bruno also like to hack new technologies, play the guitar and run. Run a lot, which suddenly started after becoming the dad of the 2 best sons ever.
You can contact him via twitter (@elbruno) or on his blog: http://www.elbruno.com

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