Development of an Automatic Contactless Thermometer Alert System Based on GPS and Population Density

Abstract

In today's out-breaking Covid-19 circumstance, treatments are preferred to be contactless. Social distancing has become a mandate in order to prevent disease spreading. In such a scenario, checking the body temperature is preferable to be made contactless because it helps the doctors and social workers to stay away from the symptomatic patients. Infrared (IR) contactless thermometers are employed in measuring the temperature while preventing direct contact with the body. Improved functionalities in the contactless thermometer can provide accurate precision in measurements and calculations. Technological advancement in pharmacy has cohesively improved over time. Coupling Machine Learning (CML) will revolutionize the process of testing. The demand for automated temperature test equipment is likely to grow at a significant pace, with the continuous advancements in technology and the adoption of ATE (Automated Test Equipment). The Global Positioning System (GPS) easy tracking and navigation can be used for easy tracking. Population density can be used to calculate the amount of population in a particular area. The proposed automatic contact-less thermometer system has the potential to replace the traditional temperature measuring techniques and safeguard from human-to-human transmission diseases.

Hall sensor-based pressure thermometer temperature measurement error detection

“…As can be seen from the above figure, the comparison standard used in this paper is the temperature data of Flucke 1552A standard thermometer, by immersing the pressure thermometer and the standard thermometer the constant temperature water bath at the same time, and judging the temperature stability of the two thermometers by the Hall sensor [11]. After the temperature data of the thermometers are stable, the thermometers are removed from the bath and the temperature values of the two thermometers are read by the zoom lens on the industrial digital camera, and the temperature data are transferred to the backend of the temperature acquisition system, which calculates the error of the presented values based on the digital images of the two thermometers [12].…”

A Predictive Vaccination Strategy Based on a Swarm Intelligence Technique for the Case of Saudi Arabia: A Control Engineering Approach

“…Additional insights about the effect of vaccination strategies for different variants, under various scenarios and in different countries/locations can be found in [10][11][12][13][14]. Other aspects of COVID-19 pandemic related research include early detection of the virus based on image processing [15], machine and deep learning (ML/DL) techniques for detection, forecasting, analysis and control of the disease [16], and contactless thermometer for temperature measurement [17], to cite a few.…”

Design and Implementation of a Medical TeleMonitoring System based on IoT

“…Authors in [11] present an approach based on the Intel Galileo development board to gather and upload various data into a database for use by patients and doctors, making the traditional checkup process more convenient. Authors in [12] propose an automatic contactless thermometer to replace the traditional temperature measuring techniques and safeguard from human-to-human transmission diseases. The advantage of the proposed model is that it uses GPS coordinates and population density values towards identifying the most crowded areas.…”