Face recognition system for chain stores
To develop a system, that could be integrated into surveillance cameras set in a chain stores to support the ‘client programs’: make exact predictions for sale offers, improve security and customers loyalty to the brand.
The system automatically detects and recognizes faces from a video stream received from various sources: video surveillance systems, web cameras, video cameras of mobile devices and laptops. The system is also provided
with improved reliability from the unfavorable camera angle (50-70 degrees).The obtained information is analyzed and, based on this statistics data, it makes possible to predict the increase in customers in a particular store, make a portrait of the buyer, and to monitor suspicious customers for security purposes.
STL, OpenCV, DLib, Boost, Http, REST.