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A Machine Vision System for Quality Grading of Painted Slates

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Machine Vision Handbook

Abstract

The major aim of this chapter is to detail the technology associated with a novel industrial inspection system that is able to robustly identify the visual defects present on the surface of painted slates. The development of a real-time automated slate inspection system proved to be a challenging task since the surface of the slate is painted with glossy dark colours, the slate is characterised by depth profile non-uniformities and it is transported at the inspection line via high-speed conveyors. In order to implement an industrial compliant system, in our design we had to devise a large number of novel solutions including the development of a fully customised illumination set-up and the development of flexible image-processing procedures that can accommodate the large spectrum of visual defects that can be present on the slate surface and the vibrations generated by the slate transport system. The developed machine vision system has been subjected to a thorough robustness evaluation and the reported experimental results indicate that the proposed solution can be used to replace the manual procedure that is currently employed to grade the painted slates in manufacturing environments.

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Acknowledgements

We would like to acknowledge the valuable contribution of our industrial partner during the development phase of our slate inspection system and Enterprise Ireland for its generous financial support.

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Authors and Affiliations

  1. Centre for Image Processing and Analysis, School of Electronic Engineering, Dublin City University, Glasnevin, Dublin, Ireland

    Dr. Ovidiu Ghita, Tim Carew & Paul F. Whelan

Authors
  1. Dr. Ovidiu Ghita
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  2. Tim Carew
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  3. Paul F. Whelan
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Corresponding author

Correspondence to Ovidiu Ghita .

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Editors and Affiliations

  1. School of Computer Science and Informatics, Cardiff University, Cardiff, Wales, UK

    Bruce G. Batchelor (Professor Emeritus) (Professor Emeritus)

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© 2012 Springer-Verlag London Ltd.

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Ghita, O., Carew, T., Whelan, P.F. (2012). A Machine Vision System for Quality Grading of Painted Slates. In: Batchelor, B.G. (eds) Machine Vision Handbook. Springer, London. https://doi.org/10.1007/978-1-84996-169-1_30

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