China
Africa
Explore chapters and articles related to this topic
Ethical Aspects in Thermal Imaging Research
Published in U. Snekhalatha, K. Palani Thanaraj, Kurt Ammer, Artificial Intelligence-Based Infrared Thermal Image Processing and Its Applications, 2023
U. Snekhalatha, K. Palani Thanaraj, Kurt Ammer
When used as a medical instrument, thermal imaging can be a very useful screening tool for determining the temperature of the human body in relation to suspected infection or sickness. This technique is convenient and efficient, and it may be used in a touchless/non-invasive manner to identify candidates for further diagnostic testing in a matter of seconds. The use of this screening approach may help to prevent and slow the transmission of contagious disease, as it allows the operator to operate the instrument at a wider distance from the patient than forehead-reading thermometers allow. Thermal imaging is a two-step procedure in which cameras capture and measure the infrared radiation generated by a person and then link it to a visible display for real-time analysis. Pattern recognition software visualizes changes in the skin’s surface temperature as they occur. Through the use of a monitor, a digital colorized heat map of the face can be easily analyzed to indicate the presence of a suspected underlying health issue.
Survey of Biometric Tools and Big Data
Published in Rodgers Waymond, Artificial Intelligence in a Throughput Model, 2020
Thermal imaging is simply the procedure of using the heat given off by an object to yield an image of it or locate it. Thermal imaging frameworks for detection, segmentation and distinctive feature extraction and similarity measurements for individuals’ physiological biometrics recognition specialized on algorithms that would extract vasculature information, create a thermal signature that identify the person. The highly accurate results attained by the algorithms demonstrate the capability of the thermal infrared systems to extend in application to other thermal imaging-based systems, such as body thermo imaging.
Assessment
Published in Paul F. McCombie, Jean-Claude Morel, Denis Garnier, Drystone Retaining Walls, 2015
Paul F. McCombie, Jean-Claude Morel, Denis Garnier
Thermal imaging can reveal aspects of a wall’s construction that could not be discovered otherwise without dismantling. Temperature variations within the ground are much less than the variation in air temperature, as the ground acts as an insulator, and because of its heat capacity it can change temperature only slowly. At a metre depth, temperature changes during the course of a day are very unlikely to have any effect. Drystone retaining walls have earth resting against them, and so are connected with material that is at a more stable temperature than the face of the wall, which is exposed to the air, rain, and if it is facing in the right direction, to the heat of the sun. The temperature of stone in good contact with the retained soil will therefore be more stable than that of the surrounding stone which is not. A through-stone that extends from the retained fill right to the face will be the most stable. When the air temperature is lower than the ground temperature, the face of such stones will be warmer than the face of surrounding stones and vice versa. Investigations have shown that this effect is clearest in the morning after a cold night. Later in the day, once the air has warmed up, especially if the sun is shining on the face of the stones, the stone with better contact with the soil may be cooler than the surrounding stone, but the thermal conductivity of individual stones plays a larger role. The surface of the stones may heat up to similar temperatures in the sun, and the effect of the contact with the ground becomes secondary. As thermal imaging cameras may have a temperature resolution of 0.1°C, subtle differences can be detected. It should be noted that as we are only interested in temperature differences between objects in the same view, the absolute accuracy of temperature measurement does not matter.
Thermogram classification using deep siamese network for neonatal disease detection with limited data
Published in Quantitative InfraRed Thermography Journal, 2022
Thermal cameras, which form the core of thermal imaging systems, convert the infrared radiation emitted from the object into electrical signals depending on the heat density. These signals are expressed in images as pixels arranged in a two-dimensional array [2,6]. The concept of infrared radiation was first proposed by Frederick William Herschel. At the beginning of the 19th century, Herschel discovered that sun rays passing through the prism are refracted at different temperatures. The first medical studies on infrared thermal imaging began with the investigation of breast cancer and the evaluation of vascularisation and asymmetrical hot spots by Lawson [7]. Its use in medicine has increased in the last few decades. It is now being used in many areas like urology [8,9], breast cancer diagnosis [10–15], thermoregulation studies [2,16,17], vascular diseases [18], tumour detection [19] rheumatological diseases [20,21], CoViD-19 diagnosis [22,23], multiple sclerosis [24], neonatal follow-up [2,25–33] and body part detection [34].
Hospital ward temperatures related to hypothermic risk in orthopaedic patients
Published in Building Research & Information, 2020
S. Goodhew, J. M. Latour, J. Duthie, H. Shirreff, P. Riddlestone, J. Metcalfe, M. Fox
To supplement the findings from the air temperature monitoring, a further investigation was conducted using thermography to observe the emitted radiant temperature from the surrounding built environment. Thermal imaging is a real-time and non-destructive method for viewing infrared radiation emitted from the surface of viewed objects using a thermal camera. From this infrared radiation the thermal camera is able to calculate an apparent surface temperature (Hart, 1990).
Investigation of intermittent microwave convective drying (IMCD) of food materials by a coupled 3D electromagnetics and multiphase model
Published in Drying Technology, 2018
Chandan Kumar, M. U. H. Joardder, Troy W. Farrell, M. A. Karim
A Flir i7 thermal imaging camera was used to capture the temperature distribution on the sample surface. Accuracy of measurement of temperature by thermal imaging camera depends on the emissivity values of the sample. The emissivity value for apple was found in the range between 0.94 and 0.97[67]; therefore, an average value of 0.95 was set in the camera before taking images.