The major problem, nowadays is the novel coronavirus or covid-19 pandemic which has and still infecting people and causing the death of many around the world. Although strict and severe actions have been taken by the government of all over the world to control and minimize the spread of this virus by lockdown, suspending, all travel and sport activity, economic and social activity, quarantines, travel restriction at stations and airport, etc, many of the people around the world have lost their lives and many are suffering. Recently, a conducted study has reported that in China the number of cases that were not documented is 79% as they show no symptom of the virus. In many other countries, the real representation of the patient infected by the virus was different from the real number which was higher in number. Hence, patients with asymptomatic conditions are the major reason for the fast and large covid-19 spread and are also the major reason that caused the people too afraid of the situation. To contribute this global pandemic, in this paper, we propose an investigation which is IoT based system designed to detect both symptomatic-asymptomatic infected people, undocumented, and the place of the pandemic. The aim is to make the authority and people aware of the situation by providing the total numbers of the cases registered, totally recovered, and death of the people caused by the pandemic. In the proposed system, we have used the IoT (internet of things) technology with the NODEMCU-ESP8266, LCD, and Wi- Fi connection to provide information of the important numbers of the patients of covid: cases, recovery, and death of the people in India. This system may keep people more informative, protected, and aware of the danger of the virus so they can take care of themselves and their families in every possible way.
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24 May 2022
INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY
12–13 February 2021
Warangal, India
Research Article|
May 24 2022
Track Covid-19 outbreak using NODEMCU-ESP8266 Available to Purchase
Syeda Bushra Shahewaz;
Syeda Bushra Shahewaz
a)
1
PG student, SR engineering college, Department of ECE
, Warangal, Telangana, India
a)Corresponding author:[email protected]
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Ch. Rajendra Prasad
Ch. Rajendra Prasad
b)
2
Department of ECE, SR University
, Warangal Urban-506371, Telangana, India
Search for other works by this author on:
Syeda Bushra Shahewaz
1,a)
Ch. Rajendra Prasad
2,b)
1
PG student, SR engineering college, Department of ECE
, Warangal, Telangana, India
2
Department of ECE, SR University
, Warangal Urban-506371, Telangana, India
a)Corresponding author:[email protected]
AIP Conf. Proc. 2418, 030022 (2022)
Citation
Syeda Bushra Shahewaz, Ch. Rajendra Prasad; Track Covid-19 outbreak using NODEMCU-ESP8266. AIP Conf. Proc. 24 May 2022; 2418 (1): 030022. https://doi.org/10.1063/5.0081690
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