• DocumentCode
    1919431
  • Title

    The method of intelligent inspection of product quality based on computer vision

  • Author

    Tai-shan, Yan ; Du-wu, Cui

  • Author_Institution
    Inst. of Autom. Sci., Xi´´an Univ. of Technol.
  • fYear
    2006
  • fDate
    17-19 Nov. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The technique of automated visual inspection is a new development in computer inspection. It has many advantages such as no touching with inspected objects, high speed, high efficiency and good flexibility, etc. So it has extensive applied foreground in the modern automatic inspection of product quality. This paper introduces the general structure of the computer vision inspection system, expounds the realization method of an on-line crack inspection system of glass bottles, which combines with neural network principle. The system´s ability to learn itself and adapt itself is very powerful, it has realized a quick and exact inspection of the on-line glass bottles´ crack successfully
  • Keywords
    automatic optical inspection; computer vision; crack detection; glass industry; neural nets; computer vision inspection system; intelligent automated visual inspection; neural network; online glass bottle crack inspection system; product quality; Automation; Biological neural networks; Charge-coupled image sensors; Computer vision; Glass products; Image analysis; Image processing; Inspection; Object detection; Optical computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    1-4244-0683-8
  • Electronic_ISBN
    1-4244-0684-6
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2006.329469
  • Filename
    4127104