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Reseach Article

Recognition of Bolt and Nut using Principle Component analysis

Published on November 2013 by A. S. Khobragade, Amol. I. Dhenge
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 1
November 2013
Authors: A. S. Khobragade, Amol. I. Dhenge
0df31dec-9eac-4668-80ba-7b4a53c4c0a5

A. S. Khobragade, Amol. I. Dhenge . Recognition of Bolt and Nut using Principle Component analysis. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 1 (November 2013), 30-32.

@article{
author = { A. S. Khobragade, Amol. I. Dhenge },
title = { Recognition of Bolt and Nut using Principle Component analysis },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { November 2013 },
volume = { NCIPET },
number = { 1 },
month = { November },
year = { 2013 },
issn = 0975-8887,
pages = { 30-32 },
numpages = 3,
url = { /proceedings/ncipet/number1/551-1328/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A A. S. Khobragade
%A Amol. I. Dhenge
%T Recognition of Bolt and Nut using Principle Component analysis
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 1
%P 30-32
%D 2013
%I International Journal of Computer Applications
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

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