PREDICTIVE ANALYSIS FOR CROWD DETECTION USING MACHINE LEARNING

The proposed system, Crowd Management Using Image Processing and Machine Learning, is designed to enhance public safety by efficiently managing large crowds and identifying missing persons. It uses image processing and machine learning techniques to monitor crowd activities through live camera feeds, enabling real-time analysis of crowd density and movement patterns.The system consists of two main modules: Admin and Police Camp. The Admin module manages camera setups, locations, and crowd monitoring, while the Police Camp module allows officers to register and maintain records of missing individuals by uploading images and details. Using face recognition techniques such as Haar Cascade Classifier, the system compares live images with stored data to detect missing persons. When a match is found, it sends instant notifications along with location details, enabling quick action. This automated approach reduces search time and provides an effective solution for crowd control and real-time tracking.