Digital Transformation in Steelmaking: The Impact of Computer Vision on Operational Efficiency

Digitizing the monitoring of operating processes through computer vision technology significantly enhances traditional manual inspection methods by transforming them into highly efficient and automated systems. This presentation discusses how advanced imaging and machine learning on Ripik’s Vision platform automates the detection of anomalies, ensures protocol adherence, and enhances accuracy across various stages, including raw material sorting, predictive maintenance of critical equipment, and quality control of finished products. This approach significantly reduces human error, improves operational efficiency, and provides real-time data for informed decision-making, ultimately leading to productivity gains, process optimization and cost savings.

Authors:

Mr. Pinak Dattaray | Ripik AI
 

Session Chairs:

Hussein Harb | ArcelorMittal Dofasco G.P.
 

Ruth Kirkwood-Azmat | Primetals Technologies USA LLC