Our deep learning algorithm continuously analyses the content of security cameras.
It automatically detects gestures associated with shoplifting in real-time.
It sends a video alert to a human operator who confirms the theft and takes action.
The neural network never stops improving after implementation. It gradually learns from new shoplifting data.
This is called “Active Learning”. the more stores we equip, the more data the algorithm is fed with, the better the performance.
We send video alerts on different devices (monitors, smartphones, tablets) so that all security staff is able to take action.