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Face Mask Detection with a Reminder System (Mask-Catcher)

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dc.contributor.author Gangabadage, Apeksha Rathnamali
dc.date.accessioned 2023-01-03T10:16:52Z
dc.date.available 2023-01-03T10:16:52Z
dc.date.issued 2022
dc.identifier.citation Gangabadage, Apeksha Rathnamali (2022) Face Mask Detection with a Reminder System (Mask-Catcher). BEng. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018562
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1247
dc.description.abstract In this time of the COVID-19 pandemic, it is very important to know whether people living in an area use safe equipment or not so that no one is affected by the disease. There are certain strict rules that need to be observed to maintain the health of a city, state, or country. According to WHO, they strongly recommend wearing a facemask in public gatherings and outdoors. Face masks prevent the virus from spreading through the nasal and oral cavities. When going outside, it is best practice to always use a facemask to avoid being affected by COVID-19. It would be a good idea to develop a face mask detection project that will alert individuals to wear a facemask in order to contribute to public safety at this time because of the strict closure rules and since we won't always have legal authority over non-compliant people. en_US
dc.language.iso en en_US
dc.subject COVID-19 en_US
dc.subject Deep Learning en_US
dc.subject Image Processing en_US
dc.title Face Mask Detection with a Reminder System (Mask-Catcher) en_US
dc.type Thesis en_US


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