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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2003, 8(2), 181-189;

A Neural Network Image Recognition for Control of Manufacturing Plant

University of Bahrain, College of Information Technology, Department of Computer Engineering. P 0 Box 32038, Bahrain
Published: 1 August 2003
PDF [788 KB, uploaded 31 March 2016]


The aim of this work is to interpret the image for vision-based logic control of manufacturing plant. The images. which had been taken by an overhead fixed camera, were transformed with feature value by image preprocessing. A multi-layered neural network was used to recognize randomly selected images of metallic pegs and plastic rings. Images, which are not recognized by the neural network, will be rejected and consequently the actuator will allow the objects to pass through. On the other hand, if the images are recognized by the neural network then the logic controller generates different type of action and the actuator pushes the object down.
Keywords: Image processing; neural network Image processing; neural network
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Karlik, B. A Neural Network Image Recognition for Control of Manufacturing Plant. Math. Comput. Appl. 2003, 8, 181-189.

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