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Recognition of Bolt and Nut using Principle Component analysis

A. S. Khobragade, Amol. I. Dhenge Published in Component Analysis

IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Year of Publication: 2013
© 2012 by IJAIS Journal
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  1. A S Khobragade and Amol. I Dhenge. Article: Recognition of Bolt and Nut using Principle Component analysis. IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) NCIPET(1):30-32, November 2013. BibTeX

    	author = "A. S. Khobragade and Amol. I. Dhenge",
    	title = "Article: Recognition of Bolt and Nut using Principle Component analysis",
    	journal = "IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)",
    	year = 2013,
    	volume = "NCIPET",
    	number = 1,
    	pages = "30-32",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"


The main aim of this paper is to build a method for recognition of bolt and nut which can be useful in mechanical industries. The objective of this study is to develop the image processing algorithm using principle component analysis to get the normalized resize images which would be suitable inputs for processing and detection. The Matlab software version 2011a is used to integrate all algorithms. This implementation also justify a prototype that emulates the sorting of nuts and bolts. The input is image through the high performance camera which is pre-processed at the suitable level. The image is then applied the principle component analysis (PCA) for the feature extraction. The resultant is given to the artificial neural network (ANN) system can detect object accurately and them accordingly as required for the application.


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Pattern recognition, bolt and nut, principle component analysis (PCA), artificial neural network.