COVID-19 Social Distancing IoT Application Using Image Processing and Deep Learning

Abstract

The Internet of Things is now a groundbreaking area with the potential to influence our lives and bring major changes to the globe. Many IoT approaches have been proposed to enable data-driven and smart applications for users. Therefore, architecture, applications, and technological systems must be created for fast and prompt enforcement of guidelines, regulations, and government directives to control such future epidemics. This paper describes a new architecture, possible use-cases, and some future possibilities for building such applications utilizing Smart City. The COVID-19 epidemic is an existing pandemic induced by that of the Coronavirus. It is a severe acute respiratory syndrome (SARS-CoV-2). It was discovered for the first time in December 2019 in Wuhan, China. Social distancing is a technique for controlling the transmission of infectious illnesses. It suggests that individuals must physically separate away from each other, decreasing intimate contact, and therefore lowering the spreading of a deadly virus also including Coronavirus.