Abstract
Pandemic COVID-19 novelly induced corona viruses that are continually spreading all over the world. In most areas of COVID-19 affect creation fallen. There is a crisis in the health sector. There have been several precautionary steps brought to minimize the propagation of this disease, with a mask. We are proposing a system that reduces COVID-19 development, identifying individuals who don't use a facial mask in a smart city system that monitors all public places with CCTV cameras. The appropriate authority is alerted by the city network whilst an individual is identified without a mask. Architecture for a data set that includes images of individuals with and without masks from various sources can train machine learning. A qualified architecture has achieved precision in identifying individuals from previously unknown testing data with and without a face mask
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