How to Monitor Red Zones with Computer Vision

James Gallagher's guide details the process of creating a red zone monitoring solution using Roboflow Workflows, a web-based application for computer vision tasks, aimed at enhancing safety in industrial facilities by tracking the entry and exit of people and vehicles in designated areas. The guide starts with setting up a Roboflow account and creating a workflow, followed by adding a model trained on the Microsoft COCO dataset to detect objects such as people and vehicles. It then explains how to enable object tracking with the Byte Tracker block and configure a red zone using the Time in Zone block, which allows users to define and monitor specific areas. To visualize the results, annotators are added to the workflow to display bounding boxes, polygon zones, and object duration in the zone on a video feed. The guide concludes with instructions on testing the workflow using Roboflow Inference on local hardware and suggests potential integrations, such as logging entry and exit times to a CSV file, demonstrating a practical application of computer vision in ensuring safety in industrial environments.