Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India

Pankaj Kumar; Tejbir Singh

Abstract

The COVID - 19 epidemic is affecting everyone whether rich or poor, strong or weak. The use of a mask can surely aid in the control of the spread of the virus. This becomes even more important for a country like India where the total population is above 135+ crores and due to lockdowns and various other reasons, a huge percentage of the population has dipped below the poverty line and health standards of the poor are declining day by day and all these factors are contributing to an uncontrolled outbreak of coronavirus in India. As the government has already mandated the use of masks as a stop-gap measure to control the pandemic but due to the carelessness of the people they can be categorized into 3 groups based on the use of a mask. Specifically, a person who is properly wearing a mask, or is wearing a mask but improperly, or is not wearing a mask at all. By deep learning, we can make a model which detects masks accurately without human-to-human interactions and can help in controlling this corona pandemic. The Face mask detection system algorithm can be used to detect faces in still images as well as live video streaming and can tell whether the mask is worn properly or not. The mask detector model used should be as flexible as possible and on the same hand simple in structure, so that it can be used by a camera monitoring 1 person at a time or by a public CCTV monitoring hundreds of people at a time. Considering mass screening is possible, it may be utilized in congested areas such as transport hubs, bus stops, supermarkets, sidewalks, mall entrances, schools, and campuses. We can ensure that a person wears the face mask correctly and in a proper way and contribute to minimizing the spread of this destructive virus.

Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India

Abstract

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Abstract

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