Visual Sentinel: Data Analytics for Missing Subject Identification

The goal of the “Visual Sentinel: Video Analytics for Missing Subject Identification” project is to automate the process of identifying missing subjects from CCTV video by utilizing cutting-edge machine learning and computer vision techniques. One of the project's goals is to create a real-time surveillance system that integrates face recognition technology for increased precision and accuracy. The technology has the ability to save lives and bring families back together by speeding up the search and recovery procedure. To effectively locate missing subjects, the system uses de-blurring methods and machine learning algorithms. The technology effectively matches people in real-time against a specified data collection, giving authorities access to timely information, according to key results. To sum up, Visual Sentinel provides a strong and practical solution that enables security and law enforcement professionals.