Smart Queue Monitoring System

Real-time queue analytics system built in 24 hours with a team of four, winning 2nd place at The AI Camera Challenge 2025. It uses YOLOv8 and DeepSORT to detect and track people on camera, estimates waiting times by zone, and shows live KPIs (people waiting, average and longest wait, customers served) with alerts when waits exceed a threshold. The dashboard plays the raw feed and the annotated analysis side by side.