• DocumentCode
    1960601
  • Title

    Machine vision system for precision dimensional measurements and online SPC

  • Author

    Horst, Robert L. ; Negin, Michael

  • Author_Institution
    Peak Productivity USA, Lancaster, PA, USA
  • fYear
    1989
  • fDate
    1-5 Oct. 1989
  • Firstpage
    1712
  • Abstract
    A two-camera ROM-based machine vision system has been engineered for use on industrial processes and manufacturing lines where precision length measurements are required on the fly. A Mnemonics Inc. system has been employed successfully for continuous web processes where pattern length is critical, but it also can be used for dimensional measurements of moving discrete parts. Applications to date have been on patterned webs that are tension-sensitive. System accuracy is +or-0.002 in with repeatability of +or-0.0005 in. The authors discuss: measurement considerations relating to elastic webs in tension; system hardware, including the solid-state array camera scanner; and PC-AT-compatible system software that provides both real-time and offline statistical process control (SPC) analysis capabilities. Charts include X-bar, range or sigma, and data distribution histograms.<>
  • Keywords
    computer vision; length measurement; process computer control; statistical process control; PC-AT-compatible system software; X-bar charts; continuous web processes; data distribution histograms; elastic webs; industrial processes; length measurements; manufacturing; pattern length; range charts; sigma charts; solid-state array camera scanner; statistical process control; two-camera ROM-based machine vision system; Application software; Cameras; Hardware; Length measurement; Machine vision; Manufacturing industries; Manufacturing processes; Software measurement; Solid state circuits; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 1989., Conference Record of the 1989 IEEE
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/IAS.1989.96872
  • Filename
    96872