DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO

Subrata Dutta; Uddipan Chowdhury; Sayan Mondal; Antara Ghosal; Anurima Majumdar; Palasri Dhar; Sayan Roy Chaudhuri

DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO

Authors: Subrata Dutta , Uddipan Chowdhury, Sayan Mondal, Antara Ghosal, Anurima Majumdar, Palasri Dhar, Sayan Roy Chaudhuri

Unique Paper ID: 155637
Volume: 9
Issue: 1
PageNo: 1421-1423

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.

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Cite This Article

ISSN: 2349-6002
Volume: 9
Issue: 1
PageNo: 1421-1423

DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO

Available:https://ijirt.org/Article?manuscript=155637

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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