Automatic Parking Lot Vehicle Registration
Implementing a DeepStream pipeline to detect objects of interest is only one of the many components that compose an AI powered system. Using these predictions to perform business decisions is yet another challenge. RidgeRun is creating a set of Python reference designs to be used as robust, modular and extensible starting points for applications using deep learning in some form.
Our first reference design is the Automatic Parking Lot Vehicle Registration which implements a system capable of identifying the time, date and location of some predefined events. More specifically:
License plate enters the premise
License plate parks on/leaves a parking stall
License plate leaves the premise
The reference design is composed by several components:
RTSP camera capture
DeepStream based license plate detection
Event logging to a web dashboard
Snapshot taking of every event
Comprehensive design and customization documentation
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