An Automated Technique for Classification and Quantitative Analysis in Coloured Pencil Manufacturing Process using Artificial Neural Network

Santhosh, K V and Navada, Bhagya R. (2015) An Automated Technique for Classification and Quantitative Analysis in Coloured Pencil Manufacturing Process using Artificial Neural Network. International Journal of Information Processing, 9 (3). pp. 28-37. ISSN 0973-8215

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Abstract

Modernization in civilization is making way for demand of school gears day by day. To balance consumption it is very essential to increase production. Its often found that incorporation of automotive technologies in plants would enhance production. In view of these prevailing conditions, proposed work presents an automated technique for (i) detection of pencil color and further classify the pencil based on color, (ii) perform quantitative analysis on pencil packet, to check whether desired number of pencils are present. Whole technique is designed using non contact technique for quicker and undisturbed flow of products on conveyor. A high resolution camera is placed along to conveyor carrying pencils post production. Acquired image is processed using image processing and neural network algorithms for identification, classification of pencils and quantitative analysis of pencils is performed on LabVIEW platform. To demonstrate working of proposed technique a conveyor mechanism is designed. Proposed technique is tested on real life setup, results produced shows successful implementation of set objectives

Item Type: Article
Uncontrolled Keywords: Automation, Artificial Neural Network, Fault Detection, Packaging.
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 05 Nov 2015 15:16
Last Modified: 05 Nov 2015 15:16
URI: http://eprints.manipal.edu/id/eprint/144496

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