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Signal classification for automatic industrial inspection

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1 Author(s)
Chittineni, C.B. ; Conoco Inc., Ponca City, USA

Details of a system designed to inspect web-type products are presented. The sensing device used is a laser scanner, and a brief description of the scanner is given. A set of bandpass filters is proposed as feature extracters. The required characteristics of the filters are determined through digital simulation, using feature selection methods. The linear classifier is designed from a set of training signals. Contextual information is used in the classification of signals into good product or into various defective categories. In addition, results of a study on inspection of magnetic tapes and abrasive sheets are described.

Published in:

Computers and Digital Techniques, IEE Proceedings E  (Volume:129 ,  Issue: 3 )