The implementation of cutting-edge technology is the primary emphasis of the study paper, which is centered on addressing the critically important issue of national security. Our primary objective is to accomplish the development of a system that is able to accurately and rapidly identify human activity in real time by using live CCTV pictures. By using the YOLO algorithm for the purpose of achieving rapid detection, this system will be of great assistance in identifying a wide range of activities, including running, leaping, crawling, and the handling of weapons. In order to identify and monitor human behavior, we use a deepSORT model that is paired with the Kalman filter. Furthermore, our objective is to construct an alert system that will quickly inform the relevant authorities, security experts, and anybody else who is present in the region of an event, so ensuring that a fast response will be taken. When taken together, these goals provide a comprehensive plan for enhancing the safety and security of the country via the use of cutting-edge technology to attain high levels of accuracy, mean average precision (mAP), and confidence.