TRASSIR Shelf Detector or Neural Empty Shelf Detector is intended to build up video surveillance systems which require the detailed analysis with the help of the neural networks. As a result, the video surveillance operator will monitor the shop shelves state in real time.
Setting up the Neural Empty Shelf Detector is performed in two steps:
- Setting up an analytics server for the empty shelf detector - necessary for analyzing video frames.
- Configure Empty Shelf Detector for a channel - video from the channel will be used to detect product absence on shelves.
