Flexible Visual Quality Inspection in Discrete Manufacturing

Abstract

Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspection tools that should not require an image processing expert to set up. Currently available software solutions providing such capability use a flowchart based programming environment, but do not fully address an inspection flowchart robustness and can require a redefinition of the flowchart if a small variation is introduced.

In this paper we propose an acquire-register-analyze image processing pattern designed for discrete manufacturing that aims to increase the robustness of the inspection flowchart by consistently addressing variations in product position, orientation and size. A proposed pattern is transparent to the end-user and simplifies the flowchart. We describe a developed software solution that is a practical implementation of the proposed pattern. We give an example of its real-life use in industrial production of electric components.

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BibTeX Citation

DOI

10.20532/ccvw.2013.0019

https://doi.org/10.20532/ccvw.2013.0019

BibTeX

@InProceedings{10.20532/ccvw.2013.0019,
  author =       {Tomislav Petkovi{\' c} and Darko Juri{\' c} and Sven
                  Lon{\v c}ari{\' c}},
  title =        {Flexible Visual Quality Inspection in Discrete
                  Manufacturing},
  booktitle =    {Proceedings of the Croatian Compter Vision Workshop,
                  Year 1},
  pages =        {58-62},
  year =         2013,
  editor =       {Lon{\v c}ari{\' c}, Sven and {\v S}egvi{\' c},
                  Sini{\v s}a},
  address =      {Zagreb},
  month =        {September},
  organization = {Center of Excellence for Computer Vision},
  publisher =    {University of Zagreb},
  abstract =     {Most visual quality inspections are composed of a
                  few simple elements such as length, surface, angle
                  or intensity measurements. Those are implemented as
                  end-user configurable inspection tools that do not
                  require an image processing expert to set
                  up. Currently available software solutions providing
                  such capability use a flowchart based programming
                  environment, but do not fully address inspection
                  program robustness and require a redefinition of a
                  processing flowchart if small variation in
                  production is introduced.\\ In this paper we propose
                  an acquire-register-analyze image processing pattern
                  that aims to increase the robustness of an image
                  processing flowchart by consistently addressing
                  variations in product position, orientation and
                  size. Proposed pattern is transparent to the
                  end-user and simplifies the flowchart program.  We
                  describe a developed software that is a practical
                  implementation of the proposed pattern and give an
                  example of its real-life use in industrial
                  production of electric components.},
  doi =          {10.20532/ccvw.2013.0019},
  url =          {https://doi.org/10.20532/ccvw.2013.0019}
}