StadiumAI Vision
Computer Vision Crowd Density Monitoring & Surge Tracking
Technical Blueprint
ArchitectureComputer Vision & AR
Release Year2025
Deployment StatusComplete
Core Technologies5 Libraries / Tools
Technologies Deployed
Project Architecture & Overview
Automated video analytics system engineered for high-density sports stadiums, festivals, and transit hubs. Deploys YOLOv8 deep learning models for accurate pedestrian detection combined with homographic coordinate projection to generate bird’s-eye crowd heatmaps and alert on bottleneck surges.
Key Engineering Milestones
- ✦YOLOv8 pedestrian detection processing 30+ FPS video security feeds
- ✦Perspective transform homography generating 2D spatial density maps
- ✦Configurable bottleneck density thresholds with instant audio/visual alarm triggers
- ✦Comprehensive crowd flow vector analysis for emergency evacuation planning