• DocumentCode
    613672
  • Title

    Architecture for multi-camera vision system for automated measurement of automotive components

  • Author

    Goncalves Lins, Romulo ; Kurka, P.R.G.

  • Author_Institution
    Dept. of Mech. Design - Mech. Eng. Fac., Univ. Estadual of Campinas (UNICAMP), Campinas, Brazil
  • fYear
    2013
  • fDate
    15-18 April 2013
  • Firstpage
    520
  • Lastpage
    527
  • Abstract
    This paper proposes the architecture of a multi-view cameras system with the purpose of online dimensional measuring of automotive components, specifically crankshafts. The introduction of a measuring vision system in a production line allows the dimensional quality control of all manufactured items, helping to optimize the process. The system consists of six digital cameras, positioned around the object, capturing different perspective images of the product. Processing of the images yields results of precise dimensional measurements of the product. The paper presents the ideas and algorithms used in the proposed measurement system, and virtual images simulation to access its operational and precision characteristics.
  • Keywords
    automobile industry; automotive components; computer vision; measurement systems; production engineering computing; quality control; shafts; automated measurement; automotive component; crankshaft; digital camera; dimensional measurement; dimensional quality control; measurement system; measuring vision system; multicamera vision system; multiview camera system; online dimensional measuring; production line; virtual image simulation; Cameras; Design automation; Equations; Image reconstruction; Machine vision; Mathematical model; Solid modeling; Vision system; manufacturing automation; systems architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2013 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-3107-4
  • Type

    conf

  • DOI
    10.1109/SysCon.2013.6549931
  • Filename
    6549931