Automated Workplace of a Sheet Rolling Shop Operator: A Web Application for Monitoring Sheets Based on Computer Vision

The article discusses the development of an automated workstation (AWP) for a sheet rolling shop operator based on a web application using computer vision technologies. The proposed solution is aimed at increasing the accuracy of monitoring the movement of metal sheets, reducing the influence of the human factor and minimizing equipment downtime. The system features the following: integration of computer vision algorithms for detection and tracking of sheets in real time; visualization of the production process through an interactive mnemonic diagram with color marking of melts; two-way data exchange with industrial equipment via a JSON interface; a mechanism for handling abnormal situations (overlapping sheets, loss of marking); a web interface with differentiated access for operators and administrators. The technology stack includes Django (backend), PostgreSQL (storage of movement history), JSON data structure, Redis. The developed solution complies with the Industry 4.0 concept and can be scaled to other areas of metallurgical production.