Abstract: During the COVID-19 pandemic, it is particularly challenging to monitor and treat people who are infected with the virus. The indications of COVID-19 are going to be measured with the help of this wearable monitoring device. To provide the effective approaches for helping the covid-19 patients by the proposed model, the model consists of sensors such as temperature, oxygen (Sp02), heart rate, GPS for location access, emergency switch provided and camera is attached to view only a covid patient wore it. The Raspberry pi is employed to collect the information from the sensors, the sensor data is displayed on the LCD screen, if the threshold is exceed the information is passed to the nearby hospitals with location of the patient. If the patient is in emergency situation, the switch is provided to inform to the doctors. Another feature is provided, camera is provided to detect the face of the patient using Viola jones which provides the information about the patient is wearing or not. The system is developed using the Python coding and imposed on the raspberry pi to obtain the input from patient. In real time patient’s temperature location can be tracked. If the patient leaves the home the notification is sent to the concerned person.

Keywords: COVID-19, wearable sensor, real time tracking, face recognition, location tracking.

PDF | DOI: 10.17148/IJARCCE.2023.12718

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