Brown.pdf (551.68 kB)
Machine vision in conjunction with a knowledge-based system for semi-automatic control of a gravure printing process
journal contributionposted on 2009-05-27, 08:45 authored by Neil Brown, Michael R. Jackson, Robert M. Parkin, P.E. Bamforth
This paper describes the work carried out to produce an automated print inspection system, which was developed on a gravure printing press within the wall-covering printing industry. The project aim was to produce a system that could continuously monitor the gravure printing process, by examining printed material using machine vision, and then by using a fuzzy knowledgebased system to interpret the machine vision system output and to make recommendations to an operator as to how to correct the process with simple text-based suggestions, avoiding printing of scrap material.
- Mechanical, Electrical and Manufacturing Engineering
CitationBROWN, N....et al., 2004. Machine vision in conjunction with a knowledge-based system for semi-automatic control of a gravure printing process. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 218(7), pp. 583-593.
PublisherProfessional Engineering Publishing / © IMECHE
- VoR (Version of Record)
NotesThis is an article from the journal, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering [© IMechE ]. It is also available at: http://journals.pepublishing.com/content/119778