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The Right Face Mask Detection System using Deep Learning Methods

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2022
Bagus Hendra Saputra, Wahyu Kusuma Raharja

Bagus Hendra Saputra and Wahyu Kusuma Raharja. The Right Face Mask Detection System using Deep Learning Methods. International Journal of Computer Applications 183(51):20-26, February 2022. BibTeX

	author = {Bagus Hendra Saputra and Wahyu Kusuma Raharja},
	title = {The Right Face Mask Detection System using Deep Learning Methods},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2022},
	volume = {183},
	number = {51},
	month = {Feb},
	year = {2022},
	issn = {0975-8887},
	pages = {20-26},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2022921922},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Coronavirus Disease 2019 (COVID-19) is an emerging respiratory disease caused by acute respiratory syndrome (SARS-CoV-2). As of June 23, 2021, as a result of the virus infected patients reached 178,837,204 and 3,880,450 died. Therefore, WHO (World Health Organization) imposes health protocols that must be implemented by all individuals throughout the country, based on that the government of the Republic of Indonesia through the Decree of the Minister of Health of the Republic of Indonesia Number HK.01.07 / MENKES / 382/2020 concerning health protocols for people in places and public facilities in order to prevent and control corona virus disease 2019 (COVID-19) which is mandatory to wear a mask when out of the house, Maintain a strict social distance in public places of at least 1 meter and often wash hands or sanitize hands with disinfectant.

In this research, the researchers create a system to conduct supervision on the community to be able to comply with health protocols, especially the use of appropriate masks. This system is called the right Face Mask Detection System using deep learning methods with MobileNetV2 module and Tensorflow framework.

Based on 90 tests conducted obtained the results of 7 invalid tests, so that the accuracy of the system that has been built has an average of 86.95%.


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deep learning, face mask, face detection, mobilenetV2, COVID-19.