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Short Circuit Detection on Printed Circuit Boards during the Manufacturing Process by Using an Analogic CNN Algorithm

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

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Abstract

One of the most critical errors is the short circuit in the manufacturing of printed circuit boards. In this contribution we extend the already existing solution to more general cases where the errors can be detected by checking two production layers. The algorithm was tested with software simulator and 64*64 CNN-UM chip of ALADDIN System.

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Author information

Authors and Affiliations

  1. Analogic and Neural Computing Systems Laboratory, Computer and Automation Institute Hungarian Academy of Sciences, P.O.B 63, H-1502, Budapest, Hungary

    Timót Hidvégi & P#x00E9;ter Szolgay

Authors
  1. Timót Hidvégi
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  2. P#x00E9;ter Szolgay
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Hidvégi, T., Szolgay, P. (2001). Short Circuit Detection on Printed Circuit Boards during the Manufacturing Process by Using an Analogic CNN Algorithm. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_55

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  • DOI: https://doi.org/10.1007/3-540-45517-5_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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