UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107756


Registration ID:
310868

Page Number

g181-g189

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Title

Comparative Study Of Object Recognition Algorithms To Find The Optimal Algorithm For Weapons Detection

Abstract

Based on the current situation of gun violence around the world, there is a need for automated surveillance for the detection of handguns the objective of this proposed technique is to visually detect the handgun in images captured in video surveillances. The proposed method is to conduct a comparative study between the available object recognition algorithms and choosing an optimal algorithm for a video surveillances system. A dataset of images of guns and knives is used. The data will be trained using the most optimal algorithm. There are available surveys that show that YOLO-V3 (You Only Look Once version 3) can be used as an alternative of Faster RCNN (Region Based Convolutional Neural Networks), but there are no available papers or surveys assessing the function of YOLO-V4 (You Only Look Once version 4) so that will be tested by this paper.

Key Words

Object recognition, Comparative Study

Cite This Article

"Comparative Study Of Object Recognition Algorithms To Find The Optimal Algorithm For Weapons Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g181-g189, July-2021, Available :http://www.jetir.org/papers/JETIR2107756.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Comparative Study Of Object Recognition Algorithms To Find The Optimal Algorithm For Weapons Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg181-g189, July-2021, Available at : http://www.jetir.org/papers/JETIR2107756.pdf

Publication Details

Published Paper ID: JETIR2107756
Registration ID: 310868
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: g181-g189
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162


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