dyneth02/YOLOv11-People-Enter-Exit-Detector
A real-time bidirectional people counting and foot-traffic analytics system powered by YOLOv11 and OpenCV. Features multi-object tracking (MOT), dual-polygon region-of-interest (ROI) logic for entry/exit detection, and automated video reporting. Perfect for retail analytics and smart occupancy monitoring.
This system helps businesses and organizations automatically count people entering and exiting a specific area using real-time video footage. It takes a live video feed or recorded video as input and produces a new video file with overlaid counts of entries, exits, and current occupancy, along with visual tracking. Retail managers, event organizers, or facility managers can use this to understand foot traffic and manage space occupancy.
Use this if you need to accurately track bidirectional people movement through a doorway or entrance in real-time, for purposes like retail analytics or occupancy monitoring.
Not ideal if you need to track individual people across multiple, non-adjacent camera views or require detailed behavioral analytics beyond simple entry/exit counts.
Stars
9
Forks
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Language
Python
License
MIT
Category
Last pushed
Jan 08, 2026
Commits (30d)
0
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