Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47660
Title: A cast system for visual fault detection research
Authors: Candela, S.
Muñoz, J. 
Garcia, C. 
Alayon, F. 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1992
Journal: Lecture Notes in Computer Science 
Conference: 2ND INTERNATIONAL WORKSHOP ON COMPUTER AIDED SYSTEMS THEORY - EUROCAST 91 
2nd International Workshop on Computer Aided Systems Theory, EUROCAST 1991 
Abstract: Building a theoretical model, an analytical model and an equivalent neuronal net to solve the fault detection problem, permits to define a formal frame work, from CAST, CAD, and CAM techniques, which permit to try several resolution methods and to make an appropriate assessment of the results. This model, first intended to detect faults in leather, can be generalized to a large number of problems related to quality control in automatic chain production.
URI: http://hdl.handle.net/10553/47660
ISBN: 978-3-540-55354-0
ISSN: 0302-9743
DOI: 10.1007/BFb0021031
Source: Pichler F., Díaz R.M. (eds) Computer Aided Systems Theory — EUROCAST '91. EUROCAST 1991. Lecture Notes in Computer Science, vol 585. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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