DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era

Aaditya Yadav; Dilip Kumar Sharma

Title:
DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era

Authors:
Dilip Kumar Sharma | Aaditya Yadav

Cite This Article :

Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1, February 2024, pp.857-862, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf

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Abstract :
The COVID-19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the virus's spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state-of-the-art convolutional neural networks (CNNs) and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask-wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic.

Keywords :
Deep learning, Convolutional Neural Networks (CNNs), Face mask identification, COVID-19, Preventive measures, public health, Transfer learning, Technological solutions

Publication Details:

Unique Identification Number : IJTSRD64522

Published In : Volume-8 | Issue-1, February 2024

Page Number(s) : 857-862

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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