System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.

Face Recognition from Crowd by using yolov7 .Extracting the faces from a video/image/live source, which is then passed to the custom facenet network in order to recognize the peoples

Crowd monitoring and management using real-time data from IP camera and Laptop camera footage which aims to provide users with insights into the crowd density at various locations espicially at local market places , shops ,malls. This helps users make informed decisions about visiting places based on the level of crowdiness.

A machine learning-based social distance estimation and crowd monitoring system for surveillance cameras

Full-stack web application for the visualization of road attributes and route planning in Amsterdam using area avoidance, focusing on the needs of the elderly and vulnerable people

Corwd Monitoring Fullstack IOT enabled app.