Mask Detection using Computer Vision

Abstract

Covid-19, a pandemic caused by a noble coronavirus, has afflicted the world for the past two years Every aspect of development has been impacted by Covid-19 There were several problems with the healthcare system In the meanwhile, numerous methods have been made to lessen the spirit of this condition, one of which is the use of a mask on the face In this research, we offer a strategy for reducing covid-19 development by identifying persons who are not using masks or are not wearing them appropriately Closed-circuit television (CCTV) cameras are used in smart cities and public places When a person without a mask is identified, the city network informs the authorities The deep learning design is based on a data set that compares photos of individuals wearing and without wearing masks from a variety of sources For prior test information, the prepared design aided 97. 3 percent of existence on dysentery individuals with and without a facial mask It is anticipated that our research would prove to be a beneficial tool in protecting our people from diseases like these