Computer Vision & ARCompleteYear: 2025

StadiumAI Vision

Computer Vision Crowd Density Monitoring & Surge Tracking

StadiumAI Vision Interface Preview

Technical Blueprint

ArchitectureComputer Vision & AR
Release Year2025
Deployment StatusComplete
Core Technologies5 Libraries / Tools

Technologies Deployed

YOLOv8OpenCVPyTorchHomographyComputer Vision

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

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