Paper Title

Secure helmet wearing detection by using image processing and machine learnig.

Authors

Gaikwad Pragati Rajesh , Jadhav Aparna Subhash , Jadhav Komal Dnyandeo , Prof. Ekatpure J.N

Keywords

ViBe, Histogram of oriented gradient, Support vector machine,Color feature recognition

Abstract

The secure helmet wearing detection is very needed in power substation. At first, the ViBe background modelling algorithm is used to detect the moving object under a view of fix surveillant camera in power substation. After that obtaining the movement region of interest, the Histogram of Oriented Gradient (HOG) feature is used to relate inner human. And then, based on the result of HOG quality selection, the Support Vector Machine (SVM) is developed to classify pedestrians. Finally, the safety helmet detection will be executed by colour feature identification. gripping experimental results indicated the accuracy and effectiveness of our proposed method .The U.S. construction industry suffers from the large amount of fatalities among all factories, that is, one of five workman expires in private factories were in power substation. Large amount of loss has occurred to the workers family members, the factory, and the countries. Considering the highest and increasing number of substation projects that are being handled in the U.S., there is a highest necessity of developing innovative methods to automatically monitor the safety for the workers at power substation.

How To Cite

"Secure helmet wearing detection by using image processing and machine learnig.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.643 - 644, May-2018, Available :https://ijsdr.org/papers/IJSDR1805097.pdf

Issue

Volume 3 Issue 5, May-2018

Pages : 643 - 644

Other Publication Details

Paper Reg. ID: IJSDR_180345

Published Paper Id: IJSDR1805097

Downloads: 000347220

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805097

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805097

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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