Application of machine learning and deep learning in mask detection

Abstract

The world witnessed the outbreak of coronavirus disease (COVID-19) at the end of 2019. Even in the 2021, this disease still caused difficulties and inconvenience to millions of people. COVID-19 pandemic has made it a necessity for almost everyone to wear a facial mask as a protective measure. There are several methods to detect masked face, including deep learning and machine learning, which constitutes an integral part on people's normal life. In order to find a faster and more convenient way to detect whether people wearing masks, this paper compared advantages and disadvantages between deep learning and machine learning based on existing literature, and proposed the most suitable method for detecting masks under different practical conditions. Therefore, we can monitor whether people wear masks correctly and give them timely guidance.