Robotic Inspection Systems

  • Christian Eitzinger
  • Sebastian Zambal
  • Petra Thanner
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

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.

Keywords

Fatigue Production Line Pyramid Emissivity 

Notes

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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Copyright information

© Springer-Verlag London (outside the USA) 2015

Authors and Affiliations

  • Christian Eitzinger
    • 1
  • Sebastian Zambal
    • 1
  • Petra Thanner
    • 1
  1. 1.Profactor GmbHSteyr-GleinkAustria

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