Queue Detector

Real-time queue monitoring for crowd and waitline detection in live environments

The Queue Detector is an experimental VisionLog module built for intelligent queue and line monitoring. It analyzes live video feeds to detect waiting lines, measure queue length, and provide early alerts for overcrowding or service delays.

Overview

Queue management is a common operational challenge in retail, healthcare, transportation, and event venues. The Queue Detector helps operations teams maintain smoother customer flow and improve service efficiency through automated, camera-based monitoring.

Technologies Used

YOLOv8 / Object Detection: Detects people and queue regions in live frames.
ByteTrack / Tracking Engine: Maintains person identities across frames for continuous queue measurement.
React Frontend: Interactive dashboard displays queue status, wait time alerts, and occupancy metrics.
FastAPI Backend: Streams detections and analytics to the web UI in real time.

Workflow

Live Feed Ingestion: The system ingests a camera stream from an RTSP or webcam source.
Person Detection: Each frame is processed to detect people and potential queue formations.
Queue Grouping: People standing in close proximity or along a service path are grouped as a queue.
Tracking Continuity: The tracking module follows queue members over time to avoid duplicate counting.
Alerting & Visualization: If the queue size crosses configured thresholds, the UI flags the situation and reports it to the operator.

Use Cases

Retail Checkout Lines: Monitor register queues to open additional counters before customer wait time increases.
Healthcare Reception Areas: Detect long wait lines in clinics or hospitals and trigger staff intervention.
Airport Security & Boarding: Track passenger queue length at security checkpoints or boarding gates.
Event Entry Points: Ensure entry queues remain smooth and prevent congestion.

Benefits

Proactive Service: Operators receive early alerts before queues become excessive.
Improved Customer Experience: Faster response to long queues reduces customer frustration.
Operational Visibility: Provides a live view of queue status across multiple entry or service points.
Easy Integration: Works with existing video cameras and the VisionLog experimental dashboard.

Best Practices

Place cameras to capture the full queue path without occlusion.
Use consistent lighting to improve detection accuracy.
Tune queue thresholds for the expected spacing and service flow at each venue.