Conceptual Development of a Medical Thermal Screening Device for Smart Apps

Abstract

The automatic thermal mask screening system is designed and developed in the work given in this paper. Since more than three years ago, the COVID virus has caused significant problems for the entire world. We have been told that abide by rules like social seclusion, mask use, temperature control, and sanitization was necessary in order to prevent virus infection. But doing it in a public setting was really a challenge. The greatest threat facing the year 2020 so far is COVID-19, which has significantly altered both human life and the global economy. The horrific effects of this virus have frightened the entire world. The most developed and least developed nations in the world have both experienced the catastrophic effects of this deadly illness. The health sector is also heavily burdened and costed by COVID-19; as a result, offering continuous monitoring through current technologies will lower health expenses and improve management of and prevention of this pandemic, as well as control of people's health behaviours. Additionally, the majority of recent monitoring studies have been on developing fixes and sparse monitoring tools to track the COVID-19 virus's spread. The primary goal of this work is to create and construct an adaptive monitoring system and model for a smart artificial intelligence (AI) helmet based on measuring parameters that can be continually monitored by thermal (Adafruit) and pi (impeded sensor) module cameras with impeded sensors. Body temperature and facial detection techniques will be put into practice and calibrated in real-time as proposed features. Additionally, each of the suggested features will operate using an AI algorithm. In conclusion, by preventing the COVID-19 virus from spreading, this system will meet the needs of the Malaysian community and society. Additionally, the majority of recent monitoring studies have been on developing fixes and sparse monitoring tools to track the COVID-19 virus's spread. The work given here is a mini-project completed by electronics and communication engineering students in the second semester at Dayananda Sagar College of Engineering in Bangalore.