The Use of a Thermal Imaging System to Measure the Temperature of the Body of a Hot-Metal Mixer

2013 ◽  
Vol 54 (3) ◽  
pp. 149-150
Author(s):  
Z. K. Kabakov ◽  
D. V. Chudinov
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
The Body ◽  
Hot Metal ◽  
Thermal Imaging System

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 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.

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.

Design and implementation of infrared thermal imaging system based on SOPC

2021 ◽  
Vol 36 (6) ◽  
pp. 886-895
Author(s):  
Hai-lin ZHONG ◽  
◽  
Yue-tao YANG ◽  
Xin WANG ◽  
Feng CAO ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Infrared Thermal Imaging ◽  
Design And Implementation ◽  
Thermal Imaging System

Thermal Imaging in Medical Science

2018 ◽  
pp. 1109-1132 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Afnan S. Althoupety
Keyword(s):  
Breast Cancer ◽  
Thermal Imaging ◽  
Imaging System ◽  
Medical Science ◽  
Breast Diseases ◽  
Material Surface ◽  
Processing Unit ◽  
Main Concept ◽  
Object Material ◽  
Thermal Imaging System

Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature through measuring infrared radiation emanated by an object/ material surface. Automated thermal imaging system involves thermal camera equipped with infrared detectors, signal processing unit and image acquisition system supported by computer. It is elaborated in wide domains applications. Extensive focus is directed to the thermal imaging in the medical domain especially breast cancer detection. This chapter provided the main concept and the different applications of thermal imaging. It explores and analyses several works in the light of studding the thermograph. It is an effective screening tool for breast cancer prediction. Studies justify that thermography can be considered a complementary tool to detect breast diseases. The current chapter reviews many usages and limitations of thermography in biomedical field. Extensive recommendations for future directions are summarized to provide a structured vision of breast thermography.

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