• DocumentCode
    3166357
  • Title

    Machine vision techniques for ink particle analysis within the paper recycling process

  • Author

    Jones, S. ; Thomas, R. ; Awcock, G. ; Humphrey, K.

  • Author_Institution
    Brighton Univ,., UK
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    682
  • Lastpage
    686
  • Abstract
    Image processing systems have been increasingly utilised within the paper recycling industry to determine the ink particle content of a wastepaper pulp sample. The information obtained can be used to determine the removal efficiency of a process and to set process variables. The majority of measurements are performed off-line, but a high speed on-line system could provide data for an automatic adaptive control system. This could be utilised to improve the removal efficiency of individual processes via parameter adjustment, or to reduce costs by the control of chemical additions to match the ink levels present. The system could also provide an early warning of potential failures in the process or dramatic changes in the wastepaper input
  • Keywords
    computer vision; manufacturing industries; paper industry; particle size measurement; production engineering computing; quality control; recycling; automatic adaptive control system; chemical additions; image processing systems; ink particle analysis; machine vision techniques; on-line system; paper recycling process; parameter adjustment; potential failures; process variables; removal efficiency; wastepaper pulp;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950746
  • Filename
    465613