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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2001: Engineering of Intelligent Systems pp 513–518Cite as

A Smart Machine Vision System for PCB Inspection

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

Abstract

In this paper, we present a smart machine vision (SMV) system for printed circuit board (PCB) inspection. It has advantages over the traditional manual inspection by its higher efficiency and accuracy. This SMV system consists of two modules, LIF (Learning Inspection Features) and OLI (On-Line Inspection). The LIF module automatically learns inspection features from the CAD files of a PCB board. The OLI module runs on-line to inspect PCB boards using a high-resolution 2-D sensor and the knowledge provided by the LIF components. Key algorithms developed for SMV are presented in the paper. The SMV system can be deployed on a manufacturing line with a much more affordable price comparing to other commercial inspection systems.

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References

  1. Langley, F. J.: Imaging Systems for PCB inspection. Circuit Mauf. 25(1) (1985) 50–54

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  4. Lu, Y.: Machine Vision Algorithms Using Interactive Learning for VFD Inspection. submitted to Journal of Applied Intelligence (2000)

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, 48128, USA

    Tie Qi Chen, Jianxin Zhang & Youning Zhou

  2. Jabil Circuit, Inc, 1700 Atlantic Boulevard, Auburn Hills, Michigan, 48326, USA

    Yi Lu Murphey

Authors
  1. Tie Qi Chen
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  2. Jianxin Zhang
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  3. Youning Zhou
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  4. Yi Lu Murphey
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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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Cite this paper

Chen, T.Q., Zhang, J., Zhou, Y., Murphey, Y.L. (2001). A Smart Machine Vision System for PCB Inspection. 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_57

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  • DOI: https://doi.org/10.1007/3-540-45517-5_57

  • Published:

  • 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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