Integration of Machine Learning into Hot Surface Inspection of Long Products – The 4D EAGLE S Measuring and Inspection System

Author
Santino Keusemann, KOCKS Measure + Inspect GmbH & Co. KG

Source
DER KALIBREUR, Issue 85 (2026), pp. 55–61. Contribution to the 93rd AIKW Conference, Siegen, Germany, September 24–26, 2025.

Abstract
This article describes how the 4D EAGLE S system, jointly developed by KOCKS and LAP, combines profile measurement with three-dimensional surface inspection of hot long products. It focuses on the use of machine learning to classify surface defects and distinguish them from harmless features such as scale. The article explains the measurement principle, model training guided by domain expertise, and integration into existing production facilities and IT systems. Practical examples illustrate the potential for early defect detection, fewer false alarms, and more targeted quality assurance in rolling mills.

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