I’m very lucky to be at the next Chicago CodeCamp with another session around Custom Vision:
How a PoC at home can scale to Enterprise Level using Custom Vision APIs
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.
More Information: https://www.chicagocodecamp.com/ and remember that we will be also talking about Deep Learning.
Greetings @ Toronto
CCC May 11 Wonderful Session #5 presentation… rich in content and clear regarding the process to use MS ML technology via your class demo(s). Now, I’m visiting your web’s ML and DeepLearning resources — to collect various samples and documentation references. I wish many folks enlightened through your presentations will do likewise!
Thanks for the feedback Ken!
I’m also sharing now the resources from the Chicago CodeCamp sessions, if you need anything else, please let me know