Optical Inspection for the Characterization and Classification of Component Surfaces in the Field of Remanufacturing

  • Steffen GlobischEmail author
  • Stefan Thäter
  • Frank Döpper
Conference paper


The Chair Manufacturing and Remanufacturing Technology at the University of Bayreuth develops an optical analysis system, which makes it possible to detect particles on component surfaces in real time while characterizing them using computer vision tools. The aim of this development is to detect various forms of contamination on components and thus contribute to maintaining optimized cleaning processes in accordance with ISO 16232. In particular, optical analysis system is used when cleaning mechanical, electrical and mechatronic components in the remanufacturing process.


Optical Analysis Remanufacturing 


  1. 1.
    Stefan, S.: Technische Sauberkeit in der Refabrikation. Dissertation, Universität Bayreuth (2012)Google Scholar
  2. 2.
    Goldschmidt, A., Caulier, Y., Arnold, M., Spinnler, K.: Echtzeituntersuchung hochglänzender Werkstücke - Industrielles Anwendungsbeispiel zur automatischen Prüfung von Oberflächen- und Strukturfehlern auf zylindrischen, metallischen Teilen. Fraunhofer IIS, Erlangen (2009)Google Scholar
  3. 3.
    Retsch Technology GmbH. Methodenvergleich Partikelanalyse, Haan (2018)Google Scholar
  4. 4.
    Retsch Technology GmbH. Partikelcharakterisierung mit Dynamischer Bildanalyse, Haan (2018)Google Scholar
  5. 5.
    Minichino, J., Howse, J.: Learning OpenCV 3 Computer Vision with Python. Birmingham (2015)Google Scholar
  6. 6.
    Wienke, J.: Bildverarbeitung mit OpenCV - Open Source Computer Vision Library, Bielefeld (2008)Google Scholar
  7. 7.
    Verband der Automobilindustrie (VDA). Qualitätsmanagement in der Automobilindustrie - Prüfung der Technischen Sauberkeit, Berlin (2014)Google Scholar
  8. 8.
    ISO 16232-7: 2007 Road vehicles - Cleanliness of components of fluid circuits – Part 7: Particle sizing and counting by microscopic analysis, Beuth-Verlag, Berlin (2007)Google Scholar
  9. 9.
    Rezaei, M.: Creating a Cascade of Haar-Like Classifiers: Step by Step. Department of Computer Science, University of Auckland (2014)Google Scholar
  10. 10.
    Rezaei, M.: Face and Eye Detection Using OpenCV: Step by Step. Department of Computer Science, University of Auckland (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Steffen Globisch
    • 1
    Email author
  • Stefan Thäter
    • 1
  • Frank Döpper
    • 1
  1. 1.Chair Manufacturing and Remanufacturing TechnologyUniversity of BayreuthBayreuthGermany

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