1Freshta Akhtary,2Engila Akhtary,3Qurban Ali Karimi
1Lecturer at Parwan University, Parwan, Afghanistan
2Lecturer at Kabul University of Medical Sciences Abu Ali Sina
3Epidemiologic Research Specialist
DOI : https://doi.org/10.47191/ijmra/v5-i11-31Google Scholar Download Pdf
ABSTRACT:
Identification of individuals using face masks has become a widespread concern as a result of the coronavirus pandemic. One critical method of preventing pandemic spread is for persons to constantly wear masks in public places. To achieve the maximum possible accuracy, new approaches for face mask detection are being developed that utilize convolutional neural networks. These novel techniques attempt to construct a binary face classifier capable of categorizing pixels in an image as either faces or non faces. In this study, we created a model using Resnet18 and MobileNetv2 in order to obtain trustworthy results for picture categorization. Additionally, we constructed our model for detecting live webcam feeds utilizing Transfer Learning on these deep convolutional neural networks, as well as ImageNet weights and OpenCV.
KEYWORDSFace mask detection, Image classification, MobileNetv2, ResNet18, Semantic segmentation, Transfer learning.
REFERENCES
1) H. Najma, H. Ansafb, and O. A. Hassen, “AN EFFECTIVE IMPLEMENTATION OF FACE RECOGNITION USING DEEP CONVOLUTIONAL NETWORK,” J. SOUTHWEST JIAOTONG Univ. Vol.54, vol. Vol.54, no. No.5, pp. 1–9, 2019, doi: 10.35741/issn.0258-2724.54.5.29.
2) O. M. Parkhi, A. Vedaldi, and A. Zisserman, “Deep Face Recognition,” no. Section 3, pp. 41.1-41.12, 2015, doi: 10.5244/c.29.41.
3) S. S. Farfade, “Multi-view Face Detection Using Deep Convolutional Neural Networks.”
4) M. Jiang and X. Fan, “Retinamask: A Face Mask Detector,” arXiv, 2020.
5) S. Yadav, “Deep Learning based Safe Social Distancing and Face Mask Detection in Public Areas for COVID-19 Safety Guidelines Adherence July 2020,” no. August, 2020, doi: 10.22214/ijraset.2020.30560.
6) B. Novak, V. Ilić, and B. Pavković, “YOLOv3 Algorithm with additional convolutional neural network trained for traffic sign recognition,” pp. 165–168, 2020.
7) M. Loey, G. Manogaran, M. Hamed, N. Taha, N. Eldeen, and M. Khalifa, “A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic,” Measurement, vol. 167, no. May 2020, p. 108288, 2021, doi: 10.1016/j.measurement.2020.108288.
8) V. Jakkula, “Tutorial on Support Vector Machine ( SVM ).”
9) J. Long, E. Shelhamer, and T. Darrell, “Fully Convolutional Networks for Semantic Segmentation.”
10) T. Meenpal, “Facial Mask Detection using Semantic Segmentation,” 2019 4th Int. Conf. Comput. Commun. Secur., no. April 2020, pp. 1–5, 2019, doi: 10.1109/CCCS.2019.8888092.
11) A. Rosebrock, “ImageNet: VGGNet, ResNet, Inception, and Xception with Keras,” Pyimagesearch, 2017. https://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/.
12) K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 2016-December, pp. 770–778, 2016, doi: 10.1109/CVPR.2016.90.
13) A. G. H. And and W. Wang, “‘Applications,’” 2012.
14) A. Mordvintsev, “OpenCV-Python Tutorials Documentation,” 2017.
15) J. West, D. Ventura, and S. Warnick, “Spring Research Presentation: A Theoretical Foundation for Inductive Transfer,” Brigham Young Univ. Coll. Phys. Math. Sci., 2007.
Volume 05 Issue 11 November 2022
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
Our Services and Policies
Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected.
The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.
International Journal of Multidisciplinary Research and Analysis will publish 12 monthly online issues per year,IJMRA publishes articles as soon as the final copy-edited version is approved. IJMRA publishes articles and review papers of all subjects area.
Open access is a mechanism by which research outputs are distributed online, Hybrid open access journals, contain a mixture of open access articles and closed access articles.
International Journal of Multidisciplinary Research and Analysis initiate a call for research paper for Volume 07 Issue 05 (May 2024).
PUBLICATION DATES:
1) Last Date of Submission : 26 May 2024 .
2) Article published within a week.
3) Submit Article : editor@ijmra.in or Online
Why with us
1 : IJMRA only accepts original and high quality research and technical papers.
2 : Paper will publish immediately in current issue after registration.
3 : Authors can download their full papers at any time with digital certificate.
The Editors reserve the right to reject papers without sending them out for review.
Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected. The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.