binary brains

Every year, thousands of missing person cases remain unsolved due to slow and manual search processes. Although cities have widespread CCTV and public camera networks, they are rarely used for automated identification of missing individuals. This project proposes an AI-powered real-time missing person detection system that uses facial recognition and computer vision to scan live camera feeds and automatically match detected faces with a database of missing persons. When a match is found, the system generates an instant alert with location and confidence details, enabling faster response and improving the chances of locating missing individuals.