Open AccessDevelopment of IoT Primarily Predicated Observance System for Home Quarantine Person throughout COVID-19
Author(s) -
Rohit S Dayma,
Sanket S Bapat,
Abhishek K Bhagate,
Manas Patil,
Avesahemad S. N. Husainy,
Gajanan V. Parishwad
Publication year - 2020
Publication title -
journal of engineering design and analysis
Language(s) - English
Resource type - Journals
ISSN - 2582-5607
DOI - 10.24321/2582.5607.202001
Subject(s) - safer , social distance , internet privacy , computer security , covid-19 , quarantine , computer science , business , distancing , medicine , disease , pathology , infectious disease (medical specialty)
COVID-19, a widely spread virus, which was originated in the Wuhan, has become a matter of inconvenience for the world by taking its rage form. As a superior cure over the further spreading of the infection, considering its ability to get spread quickly by human contact and not demonstrating manifestations inside a substantial time, authorities of various nations, particularly India, have pronounced lockdown throughout the nation, to accomplish social distancing. But due to multiple reasons Home-Quarantine people that are not allowed to go out of their houses still peregrinating in the society allowing the virus to spread further due to increasing social contacts. Thinking about every one of these components, and IoT based system that can be implemented to achieve social distancing. IoT being an emerging technology, using it is smarter and safer than traditional ones is demonstrated. Through this paper, an IoT based model comprising of least number of parts in particular ESP32 modules and a GPS module is proposed which can be executed to follow the specific area of the Home-Quarantined persistence. Likewise, an application to be specific Fight COVID-19 is built, through which all the data of the patient is gathered, for example, his subtleties, symptoms, etc. and spared to the primary server. The doctors can analyze it and make the necessary moves required to be made. It will reduce the efforts of collecting data of the individuals which makes the system more productive.