Face Mask Detection using MobileNetV2 and OpenCV

AUTHOR(S)

Karthik N S, Shyla Raj

DOI: https://doi.org/10.46647/ijetms.2023.v07i04.051

ABSTRACT
Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. The best way to prevent and slow down transmission is by staying at least 2 meters apart from others and wearing a properly fitted face mask. The use of face masks is mandatory as per World Health Organization (WHO) guidelines to avert the spread of CORONA virus. Presently the inspection of people with/without masks is being done manually and visually by sentries/guards present at entry/exit points. Guards/Sentries cannot be stationed at every place to keep a check on such people. In this work, efforts have been made in inspecting people with/without masks automatically with the help of Computer vision and Artificial Intelligence. This module detects the face of the individual and identifies whether he/she is wearing a mask or not. The rectangular bounding box is drawn on the face which is displayed on the camera to detect whether the individual is wearing the facemask or not. The face mask detection in the work is performed by using the deep learning model MobileNetV2 and OpenCV and an accuracy of 99% is achieved.

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References:

1. H. Wang, K. R. Paulson, S. A. Pease, S. Watson, H. Comfort, P. Zheng, A. Y. Aravkin, C. Bisignano, R. M. Barber, T. Alam etal., “Estimating excess mortality due to the covid-19 pandemic: a systematic analysis of covid-19-related mortality, 2020–21,” The Lancet, vol. 399, no. 10334, pp. 1513–1536, 2022.
2. G. Jignesh Chowdary, N. S. Punn, S. K. Sonbhadra, and S. Agarwal, “Face mask detection using transfer learning of inceptionv3,” in Big Data Analytics: 8th International Conference, BDA2020,Sonepat,India,December 15–18,2020,Proceedings 8. Springer, 2020, pp. 81–90.
3. A. Chavda, J. Dsouza, S. Badgujar, and A. Damani, “Multi-stage cnn ar- chitecture for face mask detection,” in 2021 6th International Conference for Convergence in Technology (i2ct). IEEE, 2021, pp. 1–8.
4. J. Ieamsaard, S. N. Charoensook, and S. Yammen, “Deep learning-based face mask detection using yolov5,” in 2021 9th International Electrical Engineering Congress (iEECON). IEEE, 2021, pp. 428–431.
5. H. Goyal, K. Sidana, C. Singh, A. Jain, and S. Jindal, “A real time face mask detection system using convolutional neural network,” Multimedia Tools and Applications, vol. 81, no. 11, pp. 14 999–15 015, 2022.
6. T. A. Kumar, R. Rajmohan, M. Pavithra, S. A. Ajagbe, R. Hodhod, and T. Gaber, “Automatic face mask detection system in public transportation in smart cities using iot and deep learning,” Electronics, vol. 11, no. 6, p. 904, 2022.
7. R. Jayaswal and M. Dixit, “Ai-based face mask detection system: a straightforward proposition to fight with covid-19 situation,” Multimedia Tools and Applications, vol. 82, no. 9, pp. 13 241–13 273, 2023.
8. T.-N. Pham, V.-H. Nguyen, and J.-H. Huh, “Integration of improved yolov5 for face mask detector and auto-labeling to generate dataset for fighting against covid-19,” The Journal of Supercomputing, pp. 1–27, 2023.
9. https://www.kaggle.com/datasets/aneerbanchakraborty/face-mask- detection-data
10. Sathyamoorthy V; R.Santhosh Kumar; Sreedhar S; Sridhar M; Surendhar S. "Design and Analysis of Adoptable Multipurpose Tillage Equipment". International Research Journal on Advanced Science Hub, 2, 7, 2020, 123-125. doi: 10.47392/irjash.2020.75
11. Sowmya Dhanalakshmi.C; Madhu P; Hemachandran N; Bharathkumaran G; Harisharvinth LB. "Design and fabrication of four-way hacksaw machine – A design thinking approach". International Research Journal on Advanced Science Hub, 2, 7, 2020, 126-130. doi: 10.47392/irjash.2020.76
12. Shalini Dengle; Mahesh Shivoorkar; Momin Nishad Parvin; Ayesha Nuzat Durrani. "Stability constants of Nicotinic acid (vitamin B3) complexes with transition metal ions". International Research Journal on Advanced Science Hub, 2, 7, 2020, 136-138. doi: 10.47392/irjash.2020.78
13. Santhakumari A; Senthilkumar T; chandrasekar M; Rajasekaran N. "Comparative evaluation of effect of shielding gas using gas mixer and shielding gas alternator for GMAW of tube to tube joints". International Research Journal on Advanced Science Hub, 2, 7, 2020, 139-149. doi: 10.47392/irjash.2020.79
14. Bharath Kumar M; E.Latha Mercy. "Voltage Enhancement In a Distribution Power System With SMES Based DVR". International Research Journal on Advanced Science Hub, 2, 7, 2020, 150-154. doi: 10.47392/irjash.2020.80
15. Subbiah Jeeva G; Prem Kennedy S; Nishanth S; Shanjai P; V Ajith Tisho. "Experimental Investigation on Banana Fiber Reinforced Phenol Formaldehyde Composite for Automotive Application". International Research Journal on Advanced Science Hub, 2, 8, 2020, 94-99. doi: 10.47392/irjash.2020.100
16. Divya R. "Effect of Azadirachta Indica in Metal Oxide Nanoparticles". International Research Journal on Advanced Science Hub, 2, 8, 2020, 105-111. doi: 10.47392/irjash.2020.102
17. Rashmi S.K; H.S. Bhojya Naik; Jayadevappa H. "Optical and photocatalytic application of ZnFe2O4-SmFeO3 nanocomposites". International Research Journal on Advanced Science Hub, 2, 8, 2020, 123-130. doi: 10.47392/irjash.2020.105
18. Prince Reynold P; Pratheep C; Mark Romario Williams M; NithinGnanam R; Mohamed Ariffuddeen M. "Case Study on Performing Indoor Gardening with New Technology Implication to Overcome the Gaps in the Existing Solutions". International Research Journal on Advanced Science Hub, 2, 8, 2020, 19-22. doi: 10.47392/irjash.2020.85
19. Vetrivel A; Raguram G; Ramprakash RS; Rohidh S; Sri Hari T. "Design and Fabrication of Fixture for Rotary and Vertical Welding". International Research Journal on Advanced Science Hub, 2, 8, 2020, 28-30. doi: 10.47392/irjash.2020.87



How to Cite This Article:
Karthik N S, Shyla Raj . Face Mask Detection using MobileNetV2 and OpenCV . ijetms;7(4):376-382. DOI: 10.46647/ijetms.2023.v07i04.051