UGC Approved Journal no 63975(19)

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

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIR2002469


Registration ID:
229230

Page Number

423-426

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Title

A Real Time Randomized Degradation Technique to Detect the Underwater Object using CNN

Abstract

This paper proposes a technique to identify submerged objects utilizing image test system and convolutional neural are arrange using CNN. Rather than reproducing exceptionally reasonable sonar pictures which is computationally perplexing, we executed a basic sonar test system that ascertains just semantic data. At that point, we produced preparing pictures of target questions by including randomized debasement impacts to the reenacted pictures. So, the submerged objects need to encounter the effects of shading contortion and darkening. Our principle is to design a process that build up a superior framework for the examination of submerged condition and giving a discernable and unmistakable picture for the correct direction to the scuba jumpers or robotized submerged vehicles by upgrading the picture quality through different systems and recognize the Unidentified Submerged Item. The CNN prepared with these created pictures is strong to the debasement impacts natural in sonar pictures and in this way can distinguish target objects in genuine sonar pictures. We checked the proposed technique utilizing the sonar pictures caught adrift through field tests. The proposed strategy can actualize object discovery all uses of mimicked pictures rather than genuine sonar pictures which are trying to secure. The proposed technique can likewise be implemented to other sonar-picture based calculations.

Key Words

CNN, object detection, Sonar Simulator, Unidentified Submerged Object, object recognition, remotely worked vehicles (ROV), Autonomous Underwater Vehicle (AUV).

Cite This Article

"A Real Time Randomized Degradation Technique to Detect the Underwater Object using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.423-426, February 2020, Available :http://www.jetir.org/papers/JETIR2002469.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

"A Real Time Randomized Degradation Technique to Detect the Underwater Object using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp423-426, February 2020, Available at : http://www.jetir.org/papers/JETIR2002469.pdf

Publication Details

Published Paper ID: JETIR2002469
Registration ID: 229230
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 423-426
Country: Jaipur, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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