Abstract

One of the biggest humanitarian issues facing the world today is the COVID-19 pandemic. The pandemic has spread rapidly, stopping global travel, and the number of cases is still rising. Governments from all across the world are attempting to contain, if not totally halt, the pandemic's spread. Face masks and social separation are two of the many measures that have been put into place. As the only known methods of avoiding the virus until immunizations are widely available are social separation and mask wearing. Using computer vision and deep learning approaches, real-time mask identification and social distance violation is achieved. We gathered a dataset of with-mask and without-mask labels in order to detect face masks.