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Title	Covid-19 Social Distancing Iot Application Using Image Processing And Deep Learning
ID_Doc	16426
Authors	Naga Swathi T.; Megala V.; Yokesh babu S.; Nath M.K.; Jayadev; Rezin U.
Year	2022
Published	ECS Transactions, 107, 1
DOI	http://dx.doi.org/10.1149/10701.7779ecst
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. © The Electrochemical Society
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