IoT face thermal recognition system development

Che Noh, Nur Ain Syafiqah (2021) IoT face thermal recognition system development. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Coronavirus disease 2019 (COVID-19), also known as the coronavirus, or COVID, is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease has since spread worldwide, leading to an ongoing pandemic. The Covid-19 common symptom is fever which can be detected using infrared thermometer. Thermometers with infrared technology are widely used nowadays for fever screening, this type of thermometer, which is commonly used has a higher risk of exposing users to viruses. Since the virus has spread to almost all part of the world, a reliable system to detect Covid-19 infected people in crowds with fever is in high demand. IoT Face Thermal Recognition System Development with the ability to continuously process the recorded/stored information/data of an individual is necessary. As well as that, this information/data also should be able to be recorded into the system database to provide real-time health monitoring update of an individual. This research proposes a low-cost system because it is based on IoT technology, is capable of rapidly detecting the Covid-19 symptom. Furthermore, the proposed system can capture the detected temperature using Thermal module Amg8833 and recognize face using pi camera.

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