Real-Time People Monitoring & Queue Management
A real-time vision system that tracks people in a hall or public space and separates general occupancy from the people actually standing in a queue.
What we built
- Zone-based detection with configurable queue and occupancy areas
- YOLO-based person detection and counting in Python and OpenCV
- Real-time crowd metrics for staffing and queue-management decisions
Delivered by Pavlo Holubchykov, Raw Code's Lead ML/AI Developer.
Outcome metrics for this project haven't been independently verified yet — figures will be added here once confirmed rather than estimated.
More work
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