Learn how to use a trained neural network to detect objects within a designated area by displaying a green bounding box over them. Monitor the activity of people inside and outside of a facility as well as count product inventory.
Gain insight into the following solutions:
Computer vision applications for IoT
Inference to analyze datasets
Retail market IoT
Learn to build and run an application with these capabilities:
❶ Monitor activity of people inside and outside of a facility.
❷ Recognize when inventory on a shelf is getting low.
❸ Use a trained neural network to detect objects.
How It Works
The application uses the inference engine included in the Intel Distribution of OpenVINO toolkit. A trained neural network detects objects within a designated area by displaying a green bounding box over the objects. This reference implementation identifies multiple intruding objects entering the frame and identifies their class, count, and time entered.