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Monitoring Social Distancing Using a New Social Spread Detector

Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.10, No. 5)

Publication Date:

Authors : ;

Page : 2958-2961

Keywords : Coronavirus; Social Distancing; Monitoring; Economy; Real time;

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Abstract

The Novel Coronavirus is the most dangerous and deadly virus in the present century of our living. It brings a serious concern to the life of the person when affected. It is mainly affected when there is less usage of masks and the negligence in following the guidelines that are prescribed by the World Health Organization (WHO). After a large number of cases and deaths WHO announced it as a pandemic. Many countries went in Lockdown for several months concerning the number of cases evolving in their region. This directly affected the economic status of those countries. Several studies suggest many waves of the virus are yet to come. To tackle this some countries after the Coronavirus cases gone down, paved way for the economic activities while following the preventive measures like social distancing to boost their economy. There is a need for an application that can alert the people based on location, that how strict social distancing is followed in that particular location hence they can be a bit more cautious when they are traveling to that location. This not only helps the people but also helps the governing authorities to ensure that strict social distancing is being followed in those particular locations and help in reducing the spread of the deadly virus. Our proposed system will be connected to the social distance detector which has access to a stationary camera retrieves the information of the number of people following and neglecting the social distance in that particular location of the stationary camera in real time. By calculating an index showcasing the ratio of people following the social distance to the people detected and setting a threshold an alert is sent to the user through this application.

Last modified: 2021-10-13 16:42:15