A Review on Face Mask Detection

DOI

No DOI

Published In

Volume 3, Issue 2 (2022)

Published Online

March-April 2022

Pages

185-186

Article Type

Research Article

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Abstract: In this review paper, we have a study of machine learning strategies to see a face mask. The new Corona virus (COVID-19) is very dangerous it has touched the earth. At the end of November 2021, the global number is new Corona virus cases already exceeded 29.9 cr and death toll was 45,50,000 according to the World Health Organization (WHO) information. Limiting The spread of this disease, mandatory face- mask rules are now common e global community settings. In addition, many public service providers requires customers to wear a face mask in accordance with pre-defined rules (e.g., mouth and nose) when using public services. These events research-based research on automated (computer-based) face-based techniques detection that can help monitor public behavior and contribute to prevention the COVID-19 epidemic. Although research available in this area has led to ineffective face mask techniques, these often work under the idea that modern face masks provide complete visual performance (even with a covered face) and that the main purpose of the strategy is to gain presence only face masks.