AI - Based Real Time Crowd Monitoring and Risk Detection System

Abstract: For the proposed study, it is anticipated that a software product based on Artificial Intelligence will be developed to enable risk detection and analysis to confirm that there are no security threats in crowded public spaces like malls, temples, and train stations. Crowd management can be quite tricky in such spacesHence, it becomes necessary to monitor them constantly. However, the use of traditional surveillance systems like cameras becomes problematic because it requires one to continuously monitor the video footage for any potential threat.

It becomes possible to resolve this issue by leveraging computer vision, integrated with deep learning capabilities, that enables the system to monitor the video stream recorded through the camera. Furthermore, the system will be capable of detecting individuals and analyzing their behavior patterns to verify if they can be deemed dangerous, including the risk of fire and other similar hazards such a detection capability can prevent accidents, such as stampedes.

Keywords: Artificial Intelligence (AI), Computer Vision, Crowd Monitoring, Risk Detection, RealTime Surveillance, YOLO.