By Topic

The development of an industrial rule-based computer vision control system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Spaven, G.P. ; Brighton Polytech., UK ; Self, A.W. ; Pearce, D.F.

UK Hardboard, Britain's only manufacturer of hardboard, manufactures seven different types of board having various properties. Wood fibres are produced in a refiner. Currently, the operator visually inspects the fibre quality, and alters the refiner settings accordingly. This has been shown to be an inadequate control method. Fibre quality is believed to be one of the most important factors in the determination of end product quality. Hence, a SERC/DTI funded Teaching Company Scheme was set up to establish the relationships between machine settings and final board quality, and to produce an online computer vision controller for the refiner. In the system developed, computer vision techniques are used to produce repeatable, quantitative measurements of wood fibres. These measurements are then fed to a rule base which produces controlling action instructions for the refiner

Published in:

Computer Image Processing and Plant Control, IEE Colloquium on

Date of Conference:

18 May 1990