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 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.

scholarly journals Using Thermal Imaging to Monitor Body Temperature of Koalas (Phascolarctos cinereus) in A Zoo Setting

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1094 ◽  
Author(s):  
Edward Narayan ◽  
Annabella Perakis ◽  
Will Meikle
Keyword(s):  
Body Temperature ◽  
Thermal Imaging ◽  
Native Species ◽  
The Body ◽  
Invasive Technique ◽  
Phascolarctos Cinereus ◽  
Non Invasive ◽  
Imaging Tool ◽  
Potential Applicability ◽  
Invasive Techniques

Non-invasive techniques can be applied for monitoring the physiology and behaviour of wildlife in Zoos to improve management and welfare. Thermal imaging technology has been used as a non-invasive technique to measure the body temperature of various domesticated and wildlife species. In this study, we evaluated the application of thermal imaging to measure the body temperature of koalas (Phascolarctos cinereus) in a Zoo environment. The aim of the study was to determine the body feature most suitable for recording a koala’s body temperature (using coefficient of variation scores). We used a FLIR530TM IR thermal imaging camera to take images of each individual koala across three days in autumn 2018 at the Wildlife Sydney Zoo, Australia. Our results demonstrated that koalas had more than one reliable body feature for recording body temperature using the thermal imaging tool—the most reliable features were eyes and abdomen. This study provides first reported application of thermal imaging on an Australian native species in a Zoo and demonstrates its potential applicability as a humane/non-invasive technique for assessing the body temperature as an index of stress.

scholarly journals Forest Fire Finder – DOAS application to long range forest fire detection

2016 ◽  
Author(s):  
Rui Valente de Almeida ◽  
Pedro Vieira
Keyword(s):  
Forest Fire ◽  
Thermal Imaging ◽  
Imaging System ◽  
Detection System ◽  
Fire Detection ◽  
Spectroscopic Technique ◽  
Optical Absorption Spectroscopy ◽  
Fire Detection System ◽  
Thermal Imaging System ◽  
Forest Fire Detection

Abstract. Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependant on the effects of fire. However, their destructive force, which many times has proven itself uncontrollable, is one of our greatest concerns, effectively originating several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a forest fire detection system based mainly upon a spectroscopic technique called Differential Optical Absorption Spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last five years, is also presented. Finally, this document features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short range fire seeking or environmental quality control.

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 Forest Fire Finder – DOAS application to long-range forest fire detection

2017 ◽  
Vol 10 (6) ◽  
pp. 2299-2311 ◽  
Author(s):  
Rui Valente de Almeida ◽  
Pedro Vieira
Keyword(s):  
Forest Fire ◽  
Thermal Imaging ◽  
Imaging System ◽  
Detection System ◽  
Fire Detection ◽  
Spectroscopic Technique ◽  
Optical Absorption Spectroscopy ◽  
Fire Detection System ◽  
Thermal Imaging System ◽  
Forest Fire Detection

Abstract. Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependent on the effects of fire. However, their destructive force, which has often proven uncontrollable, is one of our greatest concerns, effectively resulting in several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a forest fire detection system based mainly upon a spectroscopic technique called differential optical absorption spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last 5 years is also presented. Finally, this paper features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short-range fire seeking or environmental quality control.

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
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