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
Link To Document :
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