KumbhConnect: An Intelligent Surveillance System for Crowd Safety and Security at Kumbh Mela

Managing crowd safety during the Kumbh Mela presents unprecedented logistical challenges due to its scale,density, and dynamic environment. This work introduces Kumbh-Connect, a real-time intelligent surveillance system that leverages computer vision and machine learning to enhance public safety.The framework combines YOLOv11n for person and weapon detection, ByteTrack for movement analysis, and DeepFace form facial recognition of missing individuals. A FastAPI backend processes video streams from CCTV feeds, while WebSockets enable instant alerts to security personnel via a mobile application.Testing on simulated event environments shows 90% accuracy in crowd estimation and 92% in facial matching. Designed for scalability, KumbhConnect offers a proactive approach to crowd control, reducing response time and improving situational awareness during large-scale gatherings.