Fault inspection is a key part of ensuring safe operation of freight trains. The development of machine vision technology has resulted in vision-based fault inspection becoming the principal means of fault inspection. An angle cock is an important component in the brake system, and a fault in it could lead to a serious accident. In this paper, we propose an automated vision method to inspect for missing handles on an angle cock during operation of a freight train. Images of the angle cock are acquired and they are analyzed using a proposed gradient encoding histogram and support vector machine that combine to create a detection system. Experimental results show that we achieved a fault detection rate of 99.8% using the proposed system, which represents a good real-time performance and high detection accuracy.
Automated visual inspection of angle cocks during train operation
01.09.2014
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Automated visual inspection of angle cocks during train operation
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