scholarly journals Design of a Thermal Imaging System to Detect Possible Cases of COVID-19 Patients

2021 ◽  
Vol 11 (9) ◽  
pp. 66-72
Author(s):  
Luis Nuñez Tapia ◽  
◽  
Brian Meneses Claudio ◽  
Witman Alvarado Díaz
Keyword(s):  
Body Temperature ◽  
Thermal Imaging ◽  
Imaging System ◽  
National Level ◽  
Processing System ◽  
Thermal Image ◽  
The Body ◽  
Thermal Camera ◽  
The Government ◽  
Thermal Imaging System

Abstract— The problem that the world is currently facing and that has claimed more than 3.2 million lives worldwide is COVID-19. Being a highly contagious disease, the WHO recommended limiting the movement of people out of their residence. Given this, Peru took the necessary measures to control the spread of this virus, therefore, the government decreed a general quarantine in the country, which from March 6th to May 9th, 2020, had reported the death of 1814 people in the country, because the health system at the national level was not prepared for such magnitude, in addition to that the number of infections continued to grow since they do not respect social distancing. In view of this problem, this article will design a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that it allows companies or institutions to know the body temperature of each person, and thus know they are possibly COVID-19 patients. Through the design of this system, it will be possible to measure body temperature with the drone and the thermal camera at 50 cm from the person, in such a way that if the person has a body temperature higher than 38°C it could be infected with COVID-19. Therefore, the implementation of this system will help reduce the number of infections within an institution or workplace. Keywords-- Thermal camera, COVID-19, Drone, MATLAB, Image.

An Intelligent Thermal Imaging System Adopting Fuzzy-Logic-Based Viola Jones Method in Flu Detection

2017 ◽  
pp. 1-39 ◽  
Author(s):  
Wai Kit Wong ◽  
Nur Izzati Nadiah Binti Ishak ◽  
Heng Siong Lim ◽  
Jalil bin Md Desa
Keyword(s):  
Fuzzy Logic ◽  
Body Temperature ◽  
Thermal Imaging ◽  
Human Subject ◽  
Imaging System ◽  
Detection System ◽  
The Body ◽  
Imaging Tool ◽  
Thermal Imaging System ◽  
Eye Region

Some infectious diseases can spread rapidly via a community of human or animals or both, either through airborne particles or viruses. Such rapid spread diseases may become a local, national or international widespread and contagious threat. As a symptom of infection, the body temperature of a disease carrier is higher than normal people. In this chapter, flu detection system using thermal imaging tool and computer vision techniques are discussed. An automatic flu detection method adopting human object extraction algorithm and fuzzy logic based Viola Jones algorithm are also discussed. The proposed system able to capture a thermogram of the human subject, detecting the eye region of the human subject, calculating the pixels values around the detected eye region, converted to temperature readings and further classified the subject's body temperature whether the subject satisfies a flu condition or not. Experimental results also shown that the proposed fuzzy logic based Viola Jones algorithm can trace out flu infectious personal from the input thermal images up to 80% of accuracy.

scholarly journals A Low Cost Thermal Imaging System for Medical Diagnostic Applications

2018 ◽  
Vol 7 (3.27) ◽  
pp. 314
Author(s):  
U Jayalatsumi ◽  
A Feza Naaz ◽  
Kodavaluru Sravani3 ◽  
A Anusha ◽  
Alla Vasavi
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Low Cost ◽  
Body Part ◽  
The Body ◽  
Thermal Camera ◽  
Medical Diagnostic ◽  
Diagnostic Applications ◽  
The Individual ◽  
Thermal Imaging System

This paper presents a low cost thermal imaging system for medical diagnostic applications. Available systems are expensive and are mostly meant for industrial applications. In this paper the existing system which is a basic system consisting of thermopile based sensor which produces thermal array is replaced with a “Thermal Imaging Camera” for medical diagnosis applications. The thermal camera scans the entire body of the individual to diagnose the diseases ie, infrared radiations from the human body part and then converts them to electronic signal. If there is any lump or any other unusual change inside the body, then the body temperature at that particular part will alone be high or low which indicates the “Hypo” or “Hyper” condition of the disease. Scene captured by the thermal camera is represented as a matrix. Each element of matrix represents a temperature value. Temperature values are divided into different ranges and each range is represented by an RGB value by the Raspberry Pi.  Based on this thermal camera image we can detect the exact location in individual body part and further for that part alone we can take test and detect what kind of disease the individual is suffering. This system can be used in wide applications in the field of medicine such as detection of breast cancer, fever screening, thyroid disease detection, early detection of risk for diabetic peripheral neuropathy, Reynaud’s phenomenon, orthopedics etc.  

scholarly journals Detection of Possible COVID-19 Cases using Thermal Imaging and a DRONE

2022 ◽  
Vol 12 (1) ◽  
pp. 129-137
Author(s):  
Brian Meneses Claudio ◽  
◽  
Luis Nuñez Tapia ◽  
Witman Alvarado Díaz
Keyword(s):  
Image Processing ◽  
Body Temperature ◽  
Thermal Imaging ◽  
Processing System ◽  
Rapid Expansion ◽  
Global Public Health ◽  
Thermal Camera ◽  
Measurement Systems ◽  
First Case ◽  
The Government

In December 2019, a series of cases of pneumonia caused by SARS-CoV-2 were identified in Wuhan (China), which was declared by the WHO as a pandemic on March 11th , 2020, because it caused enormous problems for the global public health due to its rapid expansion. In Peru it was only on March 6th , 2020, that the first case of COVID-19 was reported, therefore, the government took some measures to control the spread of the virus. A biosafety measure that is frequently used is taking the temperature with an infrared thermometer, which is not well seen by some specialists due to the error it has, therefore, it would not represent a safe measurement, as other measurement systems do. . In view of this problem, in this article a thermal image processing system was carried out to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature and can be implemented in any place, where this measurement is intended to be carried out, helping to combat the spread of the virus that currently continues to affect many people. Through the development of the system, tests were conducted with various people, obtaining a more accurate measurement of body temperature with an efficiency of 95% at 1 m between the drone and the person, in such a way that if it presents a body temperature above 37°C could be infected with COVID-19. Keywords-- Thermal camera, COVID-19, Drone, MATLAB, WHO, Image processing

scholarly journals A Review on Surveillance using Thermal Imaging System for Animals and Birds in the Field of Agriculture

2020 ◽  
pp. 340-345
Author(s):  
Dipti Anurag Doshi
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Imaging Techniques ◽  
Crop Protection ◽  
Thermal Image ◽  
Heat Leakage ◽  
Crop Disease ◽  
Thermal Imaging System ◽  
The Military ◽  
Border Surveillance

- Thermal imaging systems are most commonly associated with military and defense. It is most used by the military, army and in navy also for border surveillance and law enforcement. Also in the detection of heat leakage from buildings, inspection of defects on technical installations or building protection against the unwanted entry of undesirable persons. In the field of healthcare, both for humans and animals also it used. By considering the various application of thermal image this technique is helpful for farmers in detection of crop diseases. Not only crop disease but also in the detection of animals. This paper intends to focus on the survey on application of thermal image processing in agriculture field such as imaging techniques for crop protection in order to monitor the birds and animals.

scholarly journals The measurement of heat loss with use of a thermal imaging system

2011 ◽  
Vol 59 (3) ◽  
pp. 193-196 ◽  
Author(s):  
Tomáš Vítěz ◽  
Petr Trávníček
Keyword(s):  
Heat Loss ◽  
Thermal Imaging ◽  
Imaging System ◽  
Infrared Camera ◽  
Heat Output ◽  
Thermal Camera ◽  
The Mean ◽  
Thermal Imaging System ◽  
Wooden Furniture ◽  
Boltzmann Law

The aim of this work was to verify the method of determining the heat loss of boiler by using of thermal infrared camera. Waste sawdust and wood shavings from the manufacturing of wooden furniture has been used as fuel in considered boiler with an installed heat output of 130 kW. The temperature distribution on the shell of the boiler has been discovered by using of infrared thermal camera, subsequently heat loss caused by radiation and convection has been calculated. For calculating of heat loss caused by radiation Stefan-Boltzmann Law has been used, for calculating of heat loss caused by convection three approaches have been used, Mc Adams, Michijev’s and King‘s. The results of the different approaches have been compared between themselves and the mean heat loss.

THERMAL IMAGING SYSTEM FOR CLIMATE CONTROL OF POTATO STORES

2005 ◽  
Vol 38 (1) ◽  
pp. 115-118 ◽  
Author(s):  
Klaus Gottschalk ◽  
Sabine Geyer ◽  
Hans-Jürgen Hellebrand
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Climate Control ◽  
Thermal Imaging System

scholarly journals Fabrication of Silicon Window for Low-price Thermal Imaging System

2015 ◽  
Vol 24 (4) ◽  
pp. 264-269
Author(s):  
Byung Mok Sung ◽  
Dong Geon Jung ◽  
Soon Jae Bang ◽  
Sun Min Baek ◽  
Seong Ho Kong
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Thermal Imaging System

scholarly journals Application of Zernike moments in computer vision problems for infrared images

2021 ◽  
Vol 310 ◽  
pp. 01002
Author(s):  
Dmitriy Otkupman ◽  
Sergey Bezdidko ◽  
Victoria Ostashenkova
Keyword(s):  
Computer Vision ◽  
Machine Vision ◽  
Thermal Imaging ◽  
Imaging System ◽  
Infrared Region ◽  
Zernike Moments ◽  
Infrared Images ◽  
Theoretical Justification ◽  
Thermal Imaging System ◽  
Binarization Method

The efficiency of using Zernike moments when working with digital images obtained in the infrared region of the spectrum is considered to improve the accuracy and speed of an autonomous thermal imaging system. The theoretical justification of the choice of Zernike moments for solving computer (machine) vision problems and the choice of a suitable threshold binarization method is given. In order to verify the adequacy and expediency of using the chosen method, practical studies were conducted on the use of Zernike methods for distorting various thermal images in shades of gray.

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