Combining Thermal Sensing And Facial Recognition For Efficient Prevention Of Covid Spread

Abstract

In present prevailing covid-19 situation medical industry had prescribed mandatory precautionary measures to reduce the disease spread. Face mask wearing and temperature monitoring of people in public places is a mandatory practice done across the world in common. People were appointed for this purpose of temperature checking and monitoring the wearing of face mask by people  at  public places . The traditional process being practiced involves a human involvement which in turn is an alarming threat that the person involved in this monitoring process can be affected by the disease and might act as a carrier unless the person  is diagnosed with symptoms at the earliest. The primary goal of the paper is to avoid the human to human interaction and automating the process of implementing covid prevention practice at public places. This can be achieved by implementing a face mask recognition system based on opencv-python which detects the wearing of face mask of people in public places  by using face recognition  technology and temperature monitoring is done by an arduino controlled human body temperature sensors . The collected data is fed to the monitoring person who is in a remote place and human assistance can be provided if any abnormality is recorded. Thus the proposed system provides and autonomous approach to the purpose of face mask and temperature monitoring in a minimalistic and feasible approac