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Intelligent Crowd Density Monitoring System Using Computer Vision
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 real-time 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 cost-effective solution for smart surveillance in places such as railway stations, shopping malls, stadiums, airports, and public events.
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