A Novel Covid Prevention Method Using Deep Learning

Abstract

World Health Organization has declared the information that the pandemic COVID-19 has harshly affected the world and has now contaminated in excess of 8,000,000 individuals around the world. Using face mask and social distancing serves as anupgraded security convention and overcomes the spread of the infection. In order to establish a covid free environment, the system implements an effective PC vision based methodology with a zeroed in on the constant robotized checking of individuals to identify both safe social separating and face masks. The method is openly put on by actualizing the model on embedded system based kit to screen action and recognize infringement using image processing. In this proposed framework present day profound learning calculations have been blended in with mathematical procedures for building a vigorous modular which covers three parts of discovery, following, and approval. Subsequently, the proposed framework favours the general public by sparing time and aides in bringing down the spread of Covid. It tends to be actualized successfully in current circumstance when lockdown is facilitated to assess people in open get-togethers, shopping centres; and so on computerized assessment lessens labour to examine general society and furthermore can be utilized in any spot