Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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Face Mask Detection Using Deep Learning

Authors
Sufia Jasmin Binti Saiful Azian1, Hu Ng1, *, Timothy Tzen Vun Yap1, Hau Lee Tong1, Vik Tor Goh2, Dong Theng Cher3
1Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia
2Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia
3SIRIM Berhad, Shah Alam, Malaysia
*Corresponding author. Email: nghu@mmu.edu.my
Corresponding Author
Hu Ng
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-094-7_22How to use a DOI?
Keywords
MobileNetV2; VGG19; Accuracy; Face mask detection; Real time camera
Abstract

It is vital to remain vigilant during pandemic COVID-19. Wearing a face mask is one of the crucial steps that people must take to ensure that they are a step away from spreading and infecting the virus. However, controlling and monitoring people in a densely crowded place is tough. Hence, a face mask detection system in public area is needed to remotely monitor if one is wearing a face mask or vice versa. In this study, two face masks datasets are downloaded from GitHub with 3834 images and 11800 colour images. Data pre-processing steps are carried out before the classification, which includes image resizing, converting images into array and label encoding. Two deep learning models, MobileNetV2 and VGG19, are developed for detection and evaluation. The experimental results performed by MobileNetV2 outperformed the VGG19 with achieving accuracy of 98.96% and 99.55% on Dataset 1 and Dataset 2 respectively.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-094-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-094-7_22How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sufia Jasmin Binti Saiful Azian
AU  - Hu Ng
AU  - Timothy Tzen Vun Yap
AU  - Hau Lee Tong
AU  - Vik Tor Goh
AU  - Dong Theng Cher
PY  - 2022
DA  - 2022/12/27
TI  - Face Mask Detection Using Deep Learning
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 279
EP  - 288
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_22
DO  - 10.2991/978-94-6463-094-7_22
ID  - SaifulAzian2022
ER  -