Review on Real Time Face Mask and Social Distancing Detection System

The rapid spread of Covid-19 is become a pandemic and has created abrupt changes in society. Outdoor work in industries, institutes, etc. is stuck up. The present study is focused on the real-time face mask detection and social distancing monitoring system. The first part is related to the colour image dataset creation and the second part is associated with detecting the face mask and safe distancing between human bodies detection. In both parts using a deep learning solution that uses OpenCV and Tensor Flow to train the model and the latter, two truth values are formed and labelled. For each labelled value, the relevant parameters are evaluated and finally, a one truth value of passed input frame is created, based on the trained model result is created. Using this mechanism, face mask detection and safe distance among people is calculated. For this purpose, the pretrained Multi-Task-Cascaded Convolutional Neural network model is used.