Bruno Capuano

Information & Communications Technology

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

Toronto, Ontario, Canada

How a PoC at home can scale to Enterprise Level using Custom Vision APIs (v2.0))

It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the core component used to analyze pictures to detect people, animals and more in a house environment. The AI processing is performed at the edge, in dedicated hardware and the collected information is stored in the cloud.
The same idea can be applied to several CCTV scenarios, like parking lots, train stations, malls and more. However, moving this into enterprise scale brings a set of challenges, which are going to be described and explained in this session.
In this new version of the session, we will start from scratch and create a complete “Parking Garage Open Space Tracker” solution with live devices and live cars (small ones, of course)
Let’s code this.


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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