Real-Time Face Mask Detection to Ensure COVID-19 Precautionary Measures

ABSTRACT

The rapid spread of COVID-19 (Coronavirus 2019) around the globe has just brought about a serious public health emergency. The World Health Organization (WHO) has distributed a number of different guidelines in an effort to limit the spread of COVID-19. If a someone is concerned about getting COVID-19, the World Health Organization advises that they wear a mask whenever they are in a public or crowded place. This recommendation applies to both adults and children. Simply looking at someone makes it hard to tell if they are concealing their identity with a mask. In this study, we conduct a comprehensive analysis of the data that was collected and the performance is being measured with deep learning architectures.In this research work, each and every one of the prerequisites for such a model was investigated. The suggested approach uses a deep learning technique-CNN in order to differentiate between labels in an image that have masks and labels that do not have masks. The results of the experiments show that the proposed system achieves 99.77% accuracy on the benchmark datasets, exceeding previous systems and datasets that are considered state-of-the-art in a real-time setting. Copyright © 2022, Anka Publishers. All rights reserved.