An Insight Into Facial Mask and Social Distance Monitoring System Based on Deep Learning Object Detector to Prevent Covid-19 Transmission

Abstract

During the COVID-19 pandemic, facial mask detection and monitoring the social distance between persons is an essential and challenging task. Along with other several machine learning techniques, deep learning has been successfully applied for object detection. In this paper, we have thoroughly explored the deep learning object detection methods for facial masks and physical distance. We have discussed an overview of object detection methods in the form of taxonomy and analyse one-stage and two-stage object detectors. In the end, some open research challenges have been presented as well.