COVID -19 pandemic is the defining global health crisis of our time which eventually led to the use of face mask and maintaining safe social distancing, which became mandatory for reducing the rate of transmission of virus. This has parallelly raised a challenge in identifying people since most of the face regions are hidden inside the mask. So we came up with a system which identifies maked face along with which it ensures whether people follows safe social distancing or not. For this purpose

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... e are using deep convolutional neural network (CNN) along with this MLP is also used for classification process. We also incooperates an efficient system that makes real time automated monitoring of people to detect safe social distancing and use of thermal cameras for detecting the body temperature. Thus the entire system favours the society by saving time and the automated inspection reduces the manpower to inspect the public.