Dwell Time and Zone Analytics with Vision AI

Dwell time and zone analytics provide a comprehensive measure of how long individuals spend within a specific area, offering deeper insights than mere foot traffic counts. This tutorial demonstrates building a full pipeline using Roboflow Workflows, where RF-DETR detects people, ByteTrack assigns persistent IDs, and a zone timer calculates each person's dwell time alongside a real-time unique visitor count. The process involves training an RF-DETR model with a dataset from Roboflow Universe, configuring a workflow that incorporates object detection, tracking, and visualization to provide insights into zone-specific engagement. Such analytics are invaluable in retail for evaluating promotional effectiveness, in queue monitoring for operational efficiency, and in safety and security for managing occupancy and restricted areas. The pipeline is designed to be adaptable, requiring only changes to the detection model and zone coordinates to suit various applications, thereby enhancing decision-making processes across different sectors.

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