Title :
An automatic surface inspection system for flat rolled steel
Author :
Saridis, G.N. ; Brandin, D.N.
Author_Institution :
Purdue University, West Lafayette, Indiana
Abstract :
The paper describes a feasibility study of a system to classify visible defects in flat rolled steel on-line, as the steel emerges from the rolling mill. A visual signal is developed by a television camera, and this signal is processed by a hardware system which stores information from the scans and alerts a small computer when a possible flaw has been detected. Executing a pattern recognition algorithm, the computer makes the final detection and classification decision before the next coil is rolled.
Keywords :
Hardware; Inspection; Milling machines; Semiconductor memory; Steel;
Conference_Titel :
Decision and Control including the 15th Symposium on Adaptive Processes, 1976 IEEE Conference on
Conference_Location :
Clearwater, FL, USA
DOI :
10.1109/CDC.1976.267764