UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311532


Registration ID:
527281

Page Number

f292-f297

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Title

Advancements in Face Mask Detection Using Deep Learning Models: A Comprehensive Literature

Abstract

: Face The face mask detection system using YOLO (You Only Look Once) represents a cutting-edge application of computer vision technology. Its primary purpose is to automatically identify individuals wearing or not wearing face masks, aiding in the enforcement of face mask regulations and enhancing public health and safety. Leveraging a large dataset and fine-tuned YOLO model through transfer learning, this system achieves an accuracy of over 95%. Its real-time capabilities enable efficient deployment in various settings, making it a cost-effective and scalable solution. The implementation of this system holds significant implications for public health by mitigating the spread of infectious diseases.ask detection, YOLO, computer vision, deep learning, transfer learning

Key Words

Face mask detection, YOLO, computer vision, deep learning, transfer learning

Cite This Article

"Advancements in Face Mask Detection Using Deep Learning Models: A Comprehensive Literature ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.f292-f297, November-2023, Available :http://www.jetir.org/papers/JETIR2311532.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

"Advancements in Face Mask Detection Using Deep Learning Models: A Comprehensive Literature ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppf292-f297, November-2023, Available at : http://www.jetir.org/papers/JETIR2311532.pdf

Publication Details

Published Paper ID: JETIR2311532
Registration ID: 527281
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: f292-f297
Country: Dinanagar, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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