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title

THE FACE MASK & OXYGEN LEVEL DETECTION WITH SANITIZATION ENTRY SYSTEM FOR PREVENTING SPREAD OF COVID-19 VIRUS

Author(s):

Munmun Kakkar

Keywords:

COVID-19, Pandemic, Alert system, Face Mask Detection, Hand sanitizer, Pulse-Oximete Sensor, Raspberry Pi, TensorFlow, Imutils, OpenCV.

Abstract

In view of the current pandemic and the rapid spread of the COVID-19 virus along with its variants like Delta & Omicron viruses resulted in serious health issues among people. Thus, there needs to be a proper system in place to detect COVID-19 symptoms & stop the spread of the disease. In this paper, we propose a system that is basically an entry system that grants access only if the user satisfies all the requirements. The condition consists of three steps which include the detection of a face mask, determining the oxygen content of the blood and sanitizing the hands. If these conditions are met, the individual will be allowed access to the premises. In any case, the user will be notified if the requirements are not met. This is an entirely contactless & automatic method for monitoring a user. As the entire setup is automated, it reduces both time & labour. The ultrasonic sensor detects the presence of the user; the python code utilizing Tensorflow, OpenCv and Imutils packages will detect the presence of mask on user’s face. The MAX30100 is a pulse oximeter sensor used to measure the blood oxygen level in the human body. Additionally, to avoid manual contact, the proposed system involves a sanitiser dispenser in such a way that there is no contact required between the nozzle and the user hand.

Other Details

Paper ID: IJSARTV
Published in: Volume : 8, Issue : 4
Publication Date: 4/3/2022

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