How a PoC at home can scale using Custom Vision APIs
summary
Walks through building a Computer Vision PoC using Custom Vision APIs (v2) that runs inference at the edge on dedicated hardware and stores results in the cloud; examples include detecting people, animals and vehicles for home security and CCTV scenarios like parking lots, train stations and malls. Covers scaling that home DIY setup into enterprise deployments and demonstrates creating a live “Parking Garage Open Space Tracker” with code and live devices.
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