• DocumentCode
    3094582
  • Title

    The automated inspection of moving webs using machine vision

  • Author

    Norton-Wayne, L.

  • Author_Institution
    Dept. of Electron. & Electri. Eng., De Montfort Univ., Leicester, UK
  • fYear
    1995
  • fDate
    34843
  • Firstpage
    42430
  • Lastpage
    42437
  • Abstract
    Many materials are manufactured industrially in the form of a continuously moving strip or web; examples include metal strip (cold rolled, plated and stainless steel; aluminium), paper, glass, textile materials (woven, knitted and printed fabric; lace; carpet), etc etc. To ensure high product quality it is necessary to inspect visually,; this inspection can be automated using machine vision. The motivations include increased cost effectiveness, much higher operating speeds, reliability, consistency and objectivity, and improved record keeping. For some applications, automated inspection using machine vision is already operational; other cases remain to be conquered. This paper discusses progress in the application of machine vision to automate web material inspection, concentrating on the development of a generalised theory for signal processing for defect detection. Limitations to the present state-of-the-art in machine vision inspection are considered. It is suggested that the dominant factor limiting the spread of machine vision inspection in industry is cost effectiveness
  • Keywords
    automatic optical inspection; computer vision; aluminium; automated inspection; cold rolled; consistency; continuously moving strip; cost effectiveness; defect detection; glass; high product quality; machine vision; metal strip; moving webs; operating speeds; plated; reliability; signal processing; stainless steel; textile materials;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Application of Machine Vision, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950745
  • Filename
    405123