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3rd International Conference on Communication, Computing and Industry 40, C2I4 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2267413

ABSTRACT

In this project the system has been designed in the manner to detect the body temperature and oxygen saturation level (SpO2) of the person. To detect the body temperature and oxygen pulses we are using the respective sensors. The sensors we are using in this project is MLX90614 ESF thermometer and MAX30100 is integrated with the pulse oximeter. Here we have used the two Node MCU (ESP 32) for the different sensors, one Node MCU is connected to the temperature sensor and another Node MCU is connected to the pulse oximeter. The components we are using in this project is Eco friendly. The software we are using in this project is ARDUINO UNO R3 IDE (Integrated development board) and To show the results we are making use of Blynk app. The maximum errors we get in this project is about 2%. When it comes to health monitoring, it has shown the good results. This is the best way to minimize the spread of the COVID-19. It is a low cost and high functionality which makes it use in the different places like Hospitals, Malls, Sports etc. © 2022 IEEE.

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