Shop Floor Data Collection: How to Automate It with Computer Vision

Shop floor data collection records production activity such as completed units, cycle times, defects, downtime, changeovers, machine states, and safety compliance, but conventional methods including paper forms, terminals, barcode scans, and operator-entered MES records can be delayed, incomplete, or lack visual context. The article describes how computer vision can supplement these methods by using cameras, custom RF-DETR models, and Roboflow Workflows to convert visual observations into timestamped, structured events with metadata and evidence images. It explains that reliable vision-based records require event definitions such as tracking a product and registering completion only when it crosses a virtual line, rather than counting repeated detections across video frames. A conveyor example demonstrates how tracked cartons can generate completion events, cycle-time calculations, slow-cycle alerts, JSON logs, annotated video, and evidence images while accounting for issues such as occlusion, counter resets, simultaneous crossings, and camera interruptions. The resulting events can be stored in Vision Events and routed to MES platforms, historians, quality systems, dashboards, spreadsheets, APIs, or PLCs, with edge deployment supporting low-latency decisions and continued operation during connectivity disruptions.

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