DETECTION OF FACE MASKS USING DEEP LEARNING

Abstract

The COVID-19 pandemic has quickly disrupted global trade and travel, affecting our day-to-day lives. In its 209th report, released on August 16, 2020, The World Health Organization (WHO) reported that the acute respiratory syndrome (SARS-CoV2) coronavirus illness (COVID-19) has killed more than 379,941 people and infected more than 6000000 people worldwide. The custom of donning a safety mask has evolved. Many public service providers may soon need their clients to wear the necessary masks in order to use their services. In order to serve the worldwide society, face mask detection is becoming a key responsibility. The face mask alone can reduce the risk of contracting the infection by more than 70%. Infections have swiftly spread in some regions as a result of incorrect use of face masks. To solve this issue, we needed a dependable mask monitoring system. The several government agencies who are attempting to make wearing a face mask mandatory can benefit from face mask identification software. This study presents a concise deep learning approach for achieving this objective.