Design For An Automated Recognition System For Multilayer Circuit Board Testing

Charles C.K Cheng

doi:10.1117/12.959560

19 November 1980 Design For An Automated Recognition System For Multilayer Circuit Board Testing

Charles C.K Cheng

Proceedings Volume 0255, Practical Electro-Optical Instruments and Techniques; (1980) https://doi.org/10.1117/12.959560
Event: 1980 Huntsville Technical Symposium, 1980, Huntsville, United States

Abstract

An automated recognition system which utilizes a precision optical front-end, an electronic error-recog-nition system, an x-y table-positioning assembly and a printer was proposed, and a prototype model was constructed 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 errordetecting 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.

Citation Download Citation

Charles C.K Cheng "Design For An Automated Recognition System For Multilayer Circuit Board Testing", Proc. SPIE 0255, Practical Electro-Optical Instruments and Techniques, (19 November 1980); https://doi.org/10.1117/12.959560

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available