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Proceedings Paper

Automated Recognition System For Industrial Quality Assurance
Author(s): Charles C. K. Cheng
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Paper Abstract

This paper describes the design and engineering of an automated recognition system for detecting minute voids in lines and measuring the line width of unloaded printed circuit boards. An automated recognition system which utilizes a precision optical front-end, an electronic error-recognition system, an x-y table-positioning assembly and a printer was proposed, and a prototype model was con-structed to prove its feasibility. The described system is capable of detecting line flaws and errors in conductor registration and in network characteristic impedance. The line-width information detected can be used both for impedance measurement and for detecting line flaws due to overwidth and underwidth conductors. Based upon performance, results show that the recognition system has good error-detecting resolution for all serious defects. It also provides a fast, reliable, practical method for measuring and testing printed wire width, thus solving a serious problem in manufacturing circuit boards for computer use.

Paper Details

Date Published: 9 January 1979
PDF: 5 pages
Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); doi: 10.1117/12.956733
Show Author Affiliations
Charles C. K. Cheng, Xerox Corporation (United States)

Published in SPIE Proceedings Vol. 0155:
Image Understanding Systems and Industrial Applications I
Ram Nevatia, Editor(s)

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