AI Traffic Analysis
Vehicle counting and flow analysis that tracks traffic through configurable detection zones to surface density patterns in real time. Domain: Smart city.
The challenge
Municipalities need actionable traffic flow and density data, but manual counting and pattern analysis cannot scale across intersections.
The approach
YOLOv11 vehicle detector tracks objects through configurable detection zones, producing real-time counts and density patterns for downstream traffic-flow analytics.
About this project
Demonstration of a YOLOv11-powered traffic monitoring system that performs real-time vehicle counting and pattern analysis. The system tracks vehicles through designated detection zones to analyze traffic flow and density patterns.
Technology and methods
- YOLOv11
- OpenCV
- Python
Related work
- HoloLens 2 Knee Replacement Surgery Guide - Mixed reality training app that walks medical students through total knee replacement in 3D, adapting to their decisions in real time.
- Mixed Reality Naval Maintenance Trainer - Gaze-driven HoloLens 2 trainer for F-18 maintenance procedures, with an agent pipeline that flags struggling trainees to supervisors.