scholarly journals Signal imposing system of micro-scale thermal imaging applied to un-cooled infrared cameras

2014 ◽  
Author(s):  
J. Morikawa ◽  
E. Hayakawa ◽  
T. Hashimoto
2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
J. Morikawa ◽  
E. Hayakawa ◽  
T. Hashimoto

The emissivity corrected thermal imaging combined with a real-time direct imposed-signal system on the freezing of biological cells is presented, which makes it possible to visualize the exothermic latent heat at a minus temperature. The applicability of the uncooled micro bolometer (thermal detector) to the micro-scale thermal analysis on the phase transitions of organic and polymeric materials is discussed in comparison with the photon detector, equipped with the optics originally designed.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5041
Author(s):  
Waldemar Minkina

The article presents problems occurring during remote temperature measurement of lashing clamps of bridge connections on high voltage poles using thermal imaging cameras. The basic metrological parameters of thermal imaging cameras are described. On this basis, typical errors made during the inspection of high voltage lines supplying power substations are presented using infrared cameras. Researching the possible solutions for the problems of remote temperature measurement of small objects of electricity power systems—on the example of lashing clamps of bridge connections on high voltage poles in the proposed paper and showing the basic metrological aspects and parameters of thermal imaging cameras are important because, in this way, it is observed to eliminate costly interruptions in the supply of electricity associated with the breaking of power lines. Small objects are quite difficult to be controlled and monitored on large grids and on large powerline poles; thus, it is very challenging to interpret the data offered by thermograms. The problem of remote temperature measurement of small objects in electrical power engineering is very important from the point of view of the quality and reliability of electricity supply. Obtaining early warning information about the occurrence of overheating, e.g., on lashing clamps of bridge connections, is very important, as it eliminates costly interruptions in the supply of electricity associated with the breaking of power lines supplying high voltage switchgears or substations.


2015 ◽  
Vol 33 (1) ◽  
pp. 81-90
Author(s):  
Zbigniew Skorupka

Abstract Friction brake temperature due to its influence on brakes’ operation is subject to many test and studies. Measurements methods of this important brake parameter are being continuously developed. In order to withstand difficulty in temperature evaluation in full brake system as well as in isolated friction pair is use of contactless measurement methods. Currently, the most widespread contactless testing method of the thermal effects is to measure infrared emission by pyrometers or thermographic (infrared) cameras. Thermal imaging method wasn’t used so far during aviation brake materials usefulness evaluation and certification testing performed in Instytut Lotnictwa Landing Gear Laboratory. In this paper, author described performed friction materials tests which were recorded with thermal imaging camera as well as evaluated usefulness of the method by comparing its accuracy to thermocouple measurement.


During search and rescue operations in flood disaster, application of deep learning on aerial imaging is pretty good to find the humans when the environmental conditions are favorable and clear but it starts failing when the environmental conditions are adverse or not supporting. During our findings we realized that generally rescue teams stop their rescue work in night time because of invisibility .When orientation of sun comes at front, the drone aerial picture quality starts decaying. It does not work in different types of fog. Also it is difficult to find people when they are somehow hidden in vegetation. This study explains about infrared cameras potentially very useful in disaster management especially in flood [6]. It takes deep learning networks that were originally developed for visible imagery [1], [2] and applying it to long wave infrared or thermal cameras. Most missions for public safety occur in remote areas where the terrain can be difficult to navigate and in some cases inaccessible. So the drone allows you to fly high above the trees see through gaps of foliage and locate your target even in the darkness of night through thermal cameras and then applying deep learning techniques to identify them as human. Creating accurate machine learning models capable of localizing and identifying human objects in a single image/video remained a challenge in computer vision but with recent advancement in drone, radiometric thermal imaging, deep learning based computer vision models it is possible now to support the rescue team to a bigger extent


Atmosphere ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 498 ◽  
Author(s):  
Anja Martina Grudzielanek ◽  
Jan Cermak

Micro-scale cold-air flow along a gentle slope was analyzed using thermal infrared imaging (TIR), focusing exclusively on the lowermost 2 m above ground. Cold-air pulses were analyzed with regard to their vertical temperature stratification as well as flow characteristics, such as flow speed. Analyses on the transition zone between the near-surface very stable inversion layer and the less stable, warmer air above highlight turbulent situations and detrainment effects at the cold-air inversion top. Using thermal imaging in a high spatiotemporal resolution with up to 90 vertical data points and TIR pixels for 1.5 m cold-air depth, a high-precision cold-air flow analysis was realized.


2021 ◽  
Vol 10 (2) ◽  
pp. 207-218
Author(s):  
Sebastian Schramm ◽  
Jannik Ebert ◽  
Johannes Rangel ◽  
Robert Schmoll ◽  
Andreas Kroll

Abstract. The geometric calibration of cameras becomes necessary when images should be undistorted, geometric image information is needed or data from more than one camera have to be fused. This process is often done using a target with a checkerboard or circular pattern and a given geometry. In this work, a coded checkerboard target for thermal imaging cameras and the corresponding image processing algorithm for iterative feature detection are presented. It is shown that, due in particular to the resulting better feature detectability at image borders, lower uncertainties in the estimation of the distortion parameters are achieved.


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