Crowd Detection System

In today's era, crowded spaces pose challenges like time wastage, hygiene issues, and the risk of tragic incidents. Focusing on objectives to improve crowd management, our system utilizes YOLOv8, OpenCV, and optical flow algorithms. It incorporates a detection module to collect data on crowd movement and an analysis module for speed and direction assessment. This approach aims to enhance efficiency, mitigate hygiene concerns, and prevent tragic incidents in crowded environments.