Hybrid visual-driven decision support system in video monitor manufacturing
| Authors: | Kawaoku Flavio, Instituto Tecnologico de Aeronautica, Brazil
Araujo Jose, Instituto Nacional de Pesquisas Espaciais, Brazil
Kienitz Karl, Instituto Tecnologico de Aeronautica, Brazil
Mesquita L, UNESP, Brazil |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Neural Networks in Modelling and Control |
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| Keywords: | Decision support systems, Visual pattern recognition, Neural networks, Fuzzy inference, Classification. |
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Abstract
An intelligent system that emulates human decision behaviour based on visual data acquisition is proposed. The approach is useful in applications where images are used to supply information to specialists who will choose suitable actions. An artificial neural classifier aids a fuzzy decision support system to deal with uncertainty and imprecision present in available information. Advantages of both techniques are exploited complementarily. As an example, this method was applied in automatic focus checking and adjustment in video monitor manufacturing.
