1Mr. K. Ramesh Babu, 2Dabbakuti Jaswitha, 3Ganeshan Sowmya, 4Gavini Harika 03 07 An Intelligent Crowd Density Monitoring System using Computer Vision is designed to automatically detect count and monitor the density of people in public areas using surveillance cameras and deep learning techniques The system processes realtime video streams to identify individuals estimate crowd density and classify areas as low medium or high density It can generate instant alerts when overcrowding exceeds predefined thresholds helping authorities improve public safety crowd management and emergency response By reducing manual monitoring and providing accurate realtime analysis the proposed system offers an efficient reliable and costeffective solution for smart surveillance in places such as railway stations shopping malls stadiums airports and public events Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026