A REVIEW ON RISK-BASED ANALYSIS USING STATIC AND DYNAMIC IDENTIFIERS

Abstract: It is critical to protect the safety and security of persons at private events such as parties, conferences, and social gatherings. This project proposes to develop a cutting-edge system that uses face and object identification algorithms to proactively identify and mitigate potential threats in private meetings. By evaluating real-time video feeds from surveillance cameras, the system employs advanced algorithms to detect suspicious actions and items that may endanger the participants' safety. The main purpose is to increase security procedures and provide an additional level of protection during private meetings.

Keywords: Face recognition, Object detection, YOLO, Image Processing