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Robotic Inspection Systems

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Integrated Imaging and Vision Techniques for Industrial Inspection

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

Industrial quality control often includes the inspection of parts of complex geometry. While such an inspection can be quite easily done by humans, it poses certain challenges if the task is to be automated. Quite often, robots are used for handling the part to acquire a large number of images, each showing a certain area of the surface. The process of acquiring sequences of multiple images also has implications for the machine vision and analysis methods used in such tasks. This chapter covers all topics that relate to the implementation of robotic inspection systems for industrial quality control. The focus is on machine vision, while aspects that deal with robotics will only be addressed at a conceptual level.

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Acknowledgments

The work presented in this chapter received cofunding from the European Commission in the 7th Framework Programme, projects “ThermoBot” (No. 284607) and FibreMap (No. 608768), and the Austrian Research Funding Agency (FFG), projects “SelTec”, “ProFit” and “LISP”.

The authors would like to thank all partners of these projects, and especially, Prof. Emanuele Menegatti, Dr. Stefano Ghidoni and the whole team of the IAS Lab of the University of Padova.

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Authors and Affiliations

  1. Profactor GmbH, Im Stadtgut A2, 4407, Steyr-Gleink, Austria

    Christian Eitzinger, Sebastian Zambal & Petra Thanner

Authors
  1. Christian Eitzinger
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  2. Sebastian Zambal
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  3. Petra Thanner
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Corresponding author

Correspondence to Christian Eitzinger .

Editor information

Editors and Affiliations

  1. University of British Columbia, Kelowna, BC, Canada

    Zheng Liu

  2. University of Tokushima, Tokushima, Japan

    Hiroyuki Ukida

  3. Pacific Northwest National Laboratory, Richland, WA, USA

    Pradeep Ramuhalli

  4. University of Applied Sciences Upper Austria, Wels, Austria

    Kurt Niel

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Eitzinger, C., Zambal, S., Thanner, P. (2015). Robotic Inspection Systems. In: Liu, Z., Ukida, H., Ramuhalli, P., Niel, K. (eds) Integrated Imaging and Vision Techniques for Industrial Inspection. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6741-9_10

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  • DOI: https://doi.org/10.1007/978-1-4471-6741-9_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6740-2

  • Online ISBN: 978-1-4471-6741-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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