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Proceedings Paper

Real-Time Automatic Inspection Of Web Materials
Author(s): Stephen McKaughan
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Paper Abstract

Visual inspection during the high-speed manufacturing of web materials often yields inefficient results due to the delay between detection of process imposed defects and the implementation of corrective action. The defect detection and classification process, coupled with defect source determination, can delay process alteration by minutes, hours and sometimes days, yielding wasted materials valued in the thousands of dollars. This paper describes recent activities in the use of image acquisition and analysis techniques to detect and classify defects produced on high-speed web materials at video frame rates. The parameters of the sensor systems are described for optimizing the detection of the defects that alter the surface topography or texture of various materials. Additionally, real time image analysis techniques are described for processing and/or analyzing an image and detecting the presence of surface defects in the background noise. System implementation, including practical limitations and trade-offs relating to resolution, sampling rates, etc., is discussed.

Paper Details

Date Published: 19 December 1985
PDF: 6 pages
Proc. SPIE 0557, Automatic Inspection and Measurement, (19 December 1985); doi: 10.1117/12.966269
Show Author Affiliations
Stephen McKaughan, Aerodyne Products Corp. (United States)

Published in SPIE Proceedings Vol. 0557:
Automatic Inspection and Measurement
Richard A. Brook; Michael J. W. Chen, Editor(s)

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