Create a Store Traffic Monitoring Solution
Track and count people inside and outside of a facility using three different video streams.
|Target Operating System||Ubuntu* 16.04 LTS|
|Programming Language||C++, Python*|
|Time to Complete||50 - 70 minutes|
Monitor people's activity inside and outside a facility
Recognizes when inventory on a shelf is getting low
Utilizes a trained neural network to detect objects
The counter uses the inference engine included in the OpenVINO™ toolkit. A trained neural network detects objects within a designated area by displaying a green bounding box over them. This reference implementation identifies multiple intruding objects entering the frame and identifies their class, count, and time entered.