Publication Date: 2022/10/09
Abstract: The COVID-19 Pandemic caused by the new Corona virus is the cause of this 21st-century global health crisis. It has forced the government to impose a lockdown to prevent the transmission of the virus. This led to the unprecedented shutdown of economic activities. Many different types of safety measures are being taken in order to reduce the risk of the spread of this disease at unprecedented times. Hence, we decided on an approach that is effective and economic by using deep learning techniques to create a safe environment in setups such as manufacturing plants, markets, malls, and other such places. To demonstrate our approach, the training dataset is composed of people, the images with and without the masks, which are collected from a variety of sources and use it in order to build a robust algorithm in order to measure the social distance with the help of the classic geometry methods. We hope that this study will serve as a useful tool for reducing the spread of this dangerous infectious disease in the world.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.7171741
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22SEP596.pdf
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