Real-Time Face Mask Detection using Deep Learning

dc.contributor.authorPranad Munjal
dc.contributor.authorVikas Rattan
dc.contributor.authorRajat Dua
dc.contributor.authorVarun Malik
dc.date.accessioned2026-01-17T06:15:21Z
dc.date.available2026-01-17T06:15:21Z
dc.date.issued2021-04-28
dc.description.abstractThe outbreak of COVID-19 has taught everyone the importance of face masks in their lives. SARS-COV-2(Severe Acute Respiratory Syndrome) is a communicable virus that is transmitted from a person while speaking, sneezing in the form of respiratory droplets. It spreads by touching an infected surface or by being in contact with an infected person. Healthcare officials from the World Health Organization and local authorities are propelling people to wear face masks as it is one of the comprehensive strategies to overcome the transmission. Amid the advancement of technology, deep learning and computer vision have proved to be an effective way in recognition through image processing. This system is a real-time application to detect people if they are wearing a mask or are without a mask. It has been trained with the dataset that contains around 4000 images using 224×224 as width and height of the image and have achieved an accuracy rate of 98%. In this research, this model has been trained and compiled with 2 CNN for differentiating accuracy to choose the best for this type of model.It can be put into action in public areas such as airports, railways, schools, offices, etc. to check if COVID-19 guidelines are being adhered to or not.
dc.identifier.issn0976-545X
dc.identifier.issn2456-3226
dc.identifier.otherhttps://doi.org/10.15415/jtmge.2021.121003
dc.identifier.urihttps://demodspace.chitkara.edu.in/handle/123456789/451
dc.language.isoen
dc.publisherChitkara University Publications
dc.subjectCOVID-19
dc.subjectMask
dc.subjectMachine Learning
dc.subjectCNN
dc.subjectDeep learning
dc.subjectComputer vision
dc.titleReal-Time Face Mask Detection using Deep Learning
dc.typeArticle

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