• DocumentCode
    1884204
  • Title

    Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile

  • Author

    Anchini, R. ; Di Leo, G. ; Liguori, C. ; Paolillo, A.

  • Author_Institution
    DIIIE Univ. of Salerno, Fisciano
  • fYear
    2007
  • fDate
    16-18 July 2007
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    The paper deals with the metrological characterization of a stereo-vision based measurement system for the inspection of automotive rubber profiles in an industrial plant. The characterization of the class of such measurement systems introduces new challenges, both for the unavailability of reference measurement instruments and for the complexity of the measurement system itself that does not allow a straightforward application of the standard procedures for the uncertainty evaluation. After a description of the measurement system, the characterization is presented in terms of evaluation of the dependencies of systematic effects and uncertainties on known and expected influence quantities. With this aim, several experimental results are reported and commented.
  • Keywords
    automotive materials; computer vision; measurement uncertainty; rubber; stereo image processing; automotive rubber profile; contact less measurement; machine vision; metrological characterization; online inspection; stereo vision based measurement system; uncertainty evaluation; Automobile manufacture; Automotive engineering; Food manufacturing; Inspection; Manufacturing industries; Manufacturing processes; Measurement standards; Measurement uncertainty; Rubber; Semiconductor device manufacture; Contact-less measurement; automotive profile; image processing; machine vision; uncertainty evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Methods for Uncertainty Estimation in Measurement, 2007 IEEE International Workshop on
  • Conference_Location
    Sardagna
  • Print_ISBN
    978-1-4244-0933-4
  • Electronic_ISBN
    978-1-4244-0933-4
  • Type

    conf

  • DOI
    10.1109/AMUEM.2007.4362583
  • Filename
    4362583