Now-a-days, entire countries in an around the world are affected by micro size of virus named it as coronovirus since 2019. It causes huge death rate among different age categories of the people. This virus makes people to realize about the importance of their health and pushed them towards to save their life at first instead of saving money in general. We are in an ambiguous situation and we are in need of to do something to bring back our world to become normal stage. This is a duty of each and every citizen of different countries. Henceforth, as per the world health organization (WHO) reports, every nation governments are insisted people to follow the certain safety protocols such as wearing mask and maintain social distancing form the surrounding people to avoid the infection from Coronovirus. However it is 80% of people do not follow the same and these habits make again welcoming corona viruses to increase the death rate. Hence, in order to save the life of the people, new novel framework for detecting face mask of an individual from the crowd of people and also to identify a people who are all not maintain proper distance with others have been proposed. Hence, the results are useful for identifying the people who violates the rules of not to wear the mask and also not to follow the social distancing. The following methods have been implemented using OPENCV and YOLOV3. The results become more useful to the public welfare sectors of government for taking necessary actions for those who violates the government rule.