Shelf Vision

An awarded academic project developed in partnership with "Molokija". We engineered a system to detect real-time product availability on retail shelves using Computer Vision. The system instantly identifies when products are removed or added, updating a web interface in real-time. This project received a perfect 5/5 score for its technical complexity and practical application in solving real-world retail logistics challenges.