IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 117

Article Submitted : 21307

Article Published : 8476

Total Authors : 22301

Total Reviewer : 802

Total Countries : 156

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Life-Guard for drowning detection
Authors Name: Barath R , Saranya R , Gopinath S B , Deebak Raaj V P S , Gajapati VE S
Download E-Certificate: Download
Author Reg. ID:
IJRTI_186716
Published Paper Id: IJRTI2305191
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: Drowning Detection in swimming pool is a challenging problem in recent times for which no satisfiable solutions have been set up. As of known methods primarily rely on background subtraction-based technique. However, random motion caused by water rippling, splashing, and moving object and reflections frequently result in interface and inaccuracies. In this work, an alternative for real time drowning detection solution by using deep learning technology will be given. This method uses convolution neural network object detector to generate confidence maps of object location in pool. If the swimmer or object get strain then the system detects it by motion
Keywords: Drowning Detection, You Only Look Once (YOLO), alarm
Cite Article: "Life-Guard for drowning detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2071 - 2073, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305191.pdf
Downloads: 000205295
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2305191
Registration ID:186716
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2071 - 2073
Country: Salem, Tamil Nadu, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305191
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305191
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner