DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO
Author(s):
Subrata Dutta , Uddipan Chowdhury, Sayan Mondal, Antara Ghosal, Anurima Majumdar, Palasri Dhar, Sayan Roy Chaudhuri
Keywords:
Arduino nano, ESP32 Wi-Fi module, IoT.
Abstract
Nowadays, covid-19 has emerged as pandemic in whole worldwide. Internet of things (IoT) also can help this world rom this pandemic situation. We made detection of affected people number using arduino nano. We can see how many people are affected by covid-19 and we can share the data with people. So, people can be aware and safe from covid-19. Using ESP32 WIFI module and logic converter we can know how many people are affected. Then, there havea display which shows number of affected people. Using IoT, we also can save the world from pandemic situation.
Article Details
Unique Paper ID: 155637 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 1421 - 1423
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