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A Real-Time Automated Visual Inspection System for Hot Steel Slabs

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4 Author(s)
Suresh, Bindinganavle R. ; MEMBER, IEEE, Honeywell Systems and Research Center, 2600 Ridgway Parkway, Minneapolis, MN 55413. ; Fundakowski, Richard A. ; Levitt, Tod S. ; Overland, John E.

This paper describes an inspection system designed to automatically detect and classify surface imperfections occurring on continuously cast hot steel slabs in a steel mill. The need to perform inspection at real-time throughput rates of 546 Kpixels/s using off-the-shelf components has led to the development of a unique architecture and algorithm set. The segmentation operations are done in a high-speed array processor front end. The imperfection classification is done in a mini-computer which uses statistical as well as syntactic/semantic classification techniques. The inspection system is currently undergoing evaluation in a steel mill.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-5 ,  Issue: 6 )