crowd-density-analysis

overview

A real-time computer vision system that monitors crowd density, detects bottlenecks, and identifies reverse flow patterns to prevent crowd disasters at events, stadiums, and public gatherings. The system uses a combination of object detection and tracking algorithms to analyze video feeds and provide actionable insights for crowd management and safety.

challenge

Crowd risk builds quickly, so the system needed to surface meaningful movement signals fast enough to help with intervention.

approach

I used object detection and tracking to monitor flow patterns across live footage, then structured the outputs around safety-relevant events instead of raw detections.

outcome

The project translates dense scene analysis into actionable signals for crowd management in stadiums, events, and public spaces.