Abstract: Face mask and social distancing measures are necessary for many infectious diseases that spreads through droplets and micro- droplets. According to WHO, the preventive measure for COVID-19 is to follow strict social distancing. It is not easy to enforce social distance easily in a crowded region and people often not maintain sufficient distance with neighbors. SSD and face mask and social distancing detection involves two major steps: first the pedestrian in the video frames is identified with the aid of Deep Learning (DL) and in the second step, distance between the two pedestrian is estimated through image processing techniques. face mask and social distancing detection can be done through various methods. Mainly convolutional neural network method is used rapidly. The accuracy and decision making is very high in CNN compared to others.
| DOI: 10.17148/IARJSET.2021.8928