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Math. Comput. Appl. 2003, 8(2), 181-189; doi:10.3390/mca8020181

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
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Abstract

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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MDPI and ACS Style

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

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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