Dock Door Utilization Tracking with Vision AI
Blog post from Roboflow
A comprehensive guide details the creation of a computer vision workflow to automatically detect and analyze dock door utilization using drone footage and Roboflow tools. The process involves detecting trailers and stall numbers using Roboflow Rapid, applying OCR with GPT-5 Nano for reading stall numbers, and using Roboflow Workflows to transform these detections into actionable insights. The workflow identifies occupied and empty stalls by detecting overlaps between trailers and stall numbers, and processes this information into structured JSON and CSV outputs for logistical analysis. The system is designed to improve operational efficiency by providing clear, automated reports on dock occupancy, enabling logistics teams to optimize dock door usage without manual input.