• DocumentCode
    2190767
  • Title

    Research on Automatic Inspection and Classification for Middle Thickness Pb Alloy Castings Based on Machine Vision Recognition Technology

  • Author

    Zhao Hong

  • Author_Institution
    Sch. of Mechatron. Eng., China Jiliang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Inspecting of castings refers to the inspection of its internal quality. Nowadays, in the course of the inspection and classification of middle thickness Pb alloy castings, the equipments being used have limitations, which rely too much on human manual work which will affect the health of the workers and the inspection accuracy and classification efficiency are low. With the aid of machine vision recognition technology, the automatic inspection and classification system for small castings developed by the author resolved above problems successfully, inspection and classification operation realize automation entirely, thus, inspection accuracy and classification efficiency improved greatly.
  • Keywords
    casting; computer vision; image recognition; inspection; lead alloys; alloy castings; automatic inspection; classification system; machine vision recognition technology; Casting; Charge coupled devices; Charge-coupled image sensors; Image processing; Image recognition; Inspection; Machine vision; Slag; System testing; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5305384
  • Filename
    5305384