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Journal articles on the topic 'Thermal vision camera'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Ankit, Dilip Yawale* Prof. V. B. Raskar. "PEDESTRAIN DETECTION BY VIDEO PROCESSING USING THERMAL AND NIGHT VISION SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 29–38. https://doi.org/10.5281/zenodo.229856.

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The paper describes the use of thermal camera and IR night vision system for the detection of Pedestrians and objects that may cause accident at night time. As per the survey most of the accidents cause is due to low vision ability of human at night time, which leads to most dangerous and higher number of accidents at night with respect to day time. This system include the IR night vision camera which detects the object with the help of IR LED and photodiode pair, this camera have capability to detect the object up to 100m. The thermal camera detects the heat generated by any of the object lik

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Nigam, Ranjeet Kumar. "APPLICATION OF THERMAL IMAGING IN FORENSIC VISION." Indonesian Journal of Legal and Forensic Sciences (IJLFS) 8, no. 1 (2018): 15. http://dx.doi.org/10.24843/ijlfs.2018.v08.i01.p03.

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The thermal imaging camera is a new emerging tool in forensic visionary technology for seeing in total darkness and takes an image of heat radiation from an object in diverse weather condition like rain, fog and smoke etc. The normal close circuit television (CCTV) cameras are blinded by the sun resulting they do not see too much in total darkness. All objects, regardless of temperature, emit some level of energy. IR cameras have the unique ability to capture this information and display it in a thermal image to be viewed and analyzed. This paper describes some of science behind this technolog

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Tjut Adek, Rizal, Munirul Ula, Bustami, Syibbran Mulaesyi, and Muhammad Bayu Juhri. "Home Surveillance System Based on Internet of Things and Thermal Sensors." Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) 3 (January 14, 2023): 00028. http://dx.doi.org/10.29103/micoms.v3i.187.

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A home security system's primary purpose is to protect and monitor areas that are vulnerable to intruders. The cameras can continuously monitor location; however, it’s had drawbacks such as high installation costs, significant electricity consumption, high memory space utilization of the recording system, and complexity of the hardware circuits, in low light condition it need a night vision camera to obtain clear images. The purpose of the research, is to develop a prototype of surveillance system that uses the PIR sensor and night vision camera to detected intruder in low light condition. The

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Starosielski, Nicole. "Thermal vision." Journal of Visual Culture 18, no. 2 (2019): 147–68. http://dx.doi.org/10.1177/1470412919841019.

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This article describes thermal vision, the ways of seeing invisible thermal emissions and exchanges. While most studies of thermal vision have focused on the deployment of infrared imaging in military and police operations, the author articulates thermal vision as a perceptual mode that both extends beyond the infrared camera to a broader set of practices of seeing heat as well as beyond the militarized view to scientific, commercial, and cultural landscapes. Weaving through these practices and landscapes, she outlines four overlapping ways that thermal vision is oriented and in turn organizes

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Knyaz, V. A., and P. V. Moshkantsev. "JOINT GEOMETRIC CALIBRATION OF COLOR AND THERMAL CAMERAS FOR SYNCHRONIZED MULTIMODAL DATASET CREATING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W18 (November 29, 2019): 79–84. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w18-79-2019.

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Abstract. With increasing performance and availability of thermal cameras the number of applications using them in various purposes grows noticeable. Nowadays thermal vision is widely used in industrial control and monitoring, thermal mapping of industrial areas, surveillance and robotics which output huge amount of thermal images. This circumstance creates the necessary basis for applying deep learning which demonstrates the state-of-the-art performance for the most complicated computer vision tasks. Using different modalities for scene analysis allows to outperform results of mono-modal proc

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Kozak, P., and L. Kozak. "On the possibility of using thermal vision cameras for observations of meteors and other atmospheric formations in long wave infrared." Bulletin of Taras Shevchenko National University of Kyiv. Astronomy, no. 60 (2019): 33–38. http://dx.doi.org/10.17721/btsnua.2019.60.33-38.

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The characteristics of the modern low-cost thermal vision cameras for possible observations of meteors and other atmospheric formations in long wave infrared spectrum range of 8-14 μm are investigated. An overview of meteor observations in non-traditional spectrum ranges: ultra-violet, near infrared, short wave, mid wave, and long wave infrared is done. A short description of the modern instruments for infrared observations is presented. By the example of a modern inexpensive model of thermal vision camera of the lower price segment there are presented results of test observations of clouds, p

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Montezuma, Sandra R., Susan Y. Sun, Arup Roy, Avi Caspi, Jessy D. Dorn, and Yingchen He. "Improved localisation and discrimination of heat emitting household objects with the artificial vision therapy system by integration with thermal sensor." British Journal of Ophthalmology 104, no. 12 (2020): 1730–34. http://dx.doi.org/10.1136/bjophthalmol-2019-315513.

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AimTo demonstrate the potential clinically meaningful benefits of a thermal camera integrated with the Argus II, an artificial vision therapy system, for assisting Argus II users in localising and discriminating heat-emitting objects.MethodsSeven blind patients implanted with Argus II retinal prosthesis participated in the study. Two tasks were investigated: (1) localising up to three heat-emitting objects by indicating the location of the objects and (2) discriminating a specific heated object out of three presented on a table. Heat-emitting objects placed on a table included a toaster, a fla

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Matzner, Shari, Thomas Warfel, and Ryan Hull. "ThermalTracker-3D: A thermal stereo vision system for quantifying bird and bat activity at offshore wind energy sites." Ecological Informatics 57 (June 12, 2020): 101069. https://doi.org/10.5281/zenodo.13452111.

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(Uploaded by Plazi for the Bat Literature Project) We present a new, efficient method for extracting three-dimensional animal motion trajectories from thermal stereo video data. Understanding animal behavior in the wild or other unconstrained environments is often based on animal movements. The technology described here is for understanding how bird and bat behavior is affected by the presence of wind turbines, specifically offshore wind turbines which are challenging to monitor. There is a need for both baseline data prior to wind farm construction and post-construction data when the turbines

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Matzner, Shari, Thomas Warfel, and Ryan Hull. "ThermalTracker-3D: A thermal stereo vision system for quantifying bird and bat activity at offshore wind energy sites." Ecological Informatics 57 (June 7, 2020): 101069. https://doi.org/10.5281/zenodo.13452111.

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(Uploaded by Plazi for the Bat Literature Project) We present a new, efficient method for extracting three-dimensional animal motion trajectories from thermal stereo video data. Understanding animal behavior in the wild or other unconstrained environments is often based on animal movements. The technology described here is for understanding how bird and bat behavior is affected by the presence of wind turbines, specifically offshore wind turbines which are challenging to monitor. There is a need for both baseline data prior to wind farm construction and post-construction data when the turbines

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Matzner, Shari, Thomas Warfel, and Ryan Hull. "ThermalTracker-3D: A thermal stereo vision system for quantifying bird and bat activity at offshore wind energy sites." Ecological Informatics 57 (July 3, 2020): 101069. https://doi.org/10.5281/zenodo.13452111.

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(Uploaded by Plazi for the Bat Literature Project) We present a new, efficient method for extracting three-dimensional animal motion trajectories from thermal stereo video data. Understanding animal behavior in the wild or other unconstrained environments is often based on animal movements. The technology described here is for understanding how bird and bat behavior is affected by the presence of wind turbines, specifically offshore wind turbines which are challenging to monitor. There is a need for both baseline data prior to wind farm construction and post-construction data when the turbines

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Matzner, Shari, Thomas Warfel, and Ryan Hull. "ThermalTracker-3D: A thermal stereo vision system for quantifying bird and bat activity at offshore wind energy sites." Ecological Informatics 57 (July 10, 2020): 101069. https://doi.org/10.5281/zenodo.13452111.

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(Uploaded by Plazi for the Bat Literature Project) We present a new, efficient method for extracting three-dimensional animal motion trajectories from thermal stereo video data. Understanding animal behavior in the wild or other unconstrained environments is often based on animal movements. The technology described here is for understanding how bird and bat behavior is affected by the presence of wind turbines, specifically offshore wind turbines which are challenging to monitor. There is a need for both baseline data prior to wind farm construction and post-construction data when the turbines

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Lin, Chun-Yi, and Wu-Sung Yao. "Compensation for Vanadium Oxide Temperature with Stereo Vision on Long-Wave Infrared Light Measurement." Sensors 22, no. 21 (2022): 8302. http://dx.doi.org/10.3390/s22218302.

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In this paper, using automated optical inspection equipment and a thermal imager, the position and the temperature of the heat source or measured object can effectively be grasped. The high-resolution depth camera is with the stereo vision distance measurement and the low-resolution thermal imager is with the long-wave infrared measurement. Based on Planck’s black body radiation law and Stefan–Boltzmann law, the binocular stereo calibration of the two cameras was calculated. In order to improve the measured temperature error at different distances, equipped with Intel Real Sense Depth Camera D

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Li, Huaizhou, Shuaijun Wang, Zhenpeng Bai, Hong Wang, Sen Li, and Shupei Wen. "Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared." Sensors 23, no. 17 (2023): 7372. http://dx.doi.org/10.3390/s23177372.

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Thermal infrared imaging is less affected by lighting conditions and smoke compared to visible light imaging. However, thermal infrared images often have lower resolution and lack rich texture details, making them unsuitable for stereo matching and 3D reconstruction. To enhance the quality of infrared stereo imaging, we propose an advanced stereo matching algorithm. Firstly, the images undergo preprocessing using a non-local mean noise reduction algorithm to remove thermal noise and achieve a smoother result. Subsequently, we perform camera calibration using a custom-made chessboard calibratio

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Beg, Mohammad Sojon, M. Yusri Ismail, N. H. Badrulhisam, Ibnu Siswanto, and Gunadi Gunadi. "Improving Vehicle Assistance Systems: Evaluation of Augmented Capabilities through Infrared Thermal Camera Integration." International Journal of Automotive and Mechanical Engineering 22, no. 1 (2025): Press. https://doi.org/10.15282/ijame.22.1.2025.20.0937.

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Nighttime driving is difficult owing to low visibility and lights. Nighttime accidents are more dangerous due to reduced obstacle detection, poor vision, and trouble evaluating distances. Knowing the causes and dynamics of nighttime accidents is essential for improving road safety and preventing collisions when natural light is limited. This study proposes using an infrared thermal sensor to assist drivers in mitigating the issue of inadequate light at night, with the ultimate goal of preventing crashes under such circumstances. The investigation compared the infrared thermal camera sensor wit

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Rusydi, Muhammad Ilhamdi, Aulia Novira, Takayuki Nakagome, et al. "Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera." Journal of Robotics and Control (JRC) 3, no. 3 (2022): 361–73. http://dx.doi.org/10.18196/jrc.v3i3.14750.

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In recent years, robots that recognize people around them and provide guidance, information, and monitoring have been attracting attention. The mainstream of conventional human recognition technology is the method using a camera or laser range finder. However, it is difficult to recognize with a camera due to fluctuations in lighting 1), and it is often affected by the recognition environment such as misrecognition 2) with a person's leg and a chair's leg with a laser range finder. Therefore, we propose a human recognition method using a thermal camera that can visualize human heat. This study

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Fu, Ting, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, and Nicolas Saunier. "Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems." Journal of Advanced Transportation 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/5142732.

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Vision-based monitoring systems using visible spectrum (regular) video cameras can complement or substitute conventional sensors and provide rich positional and classification data. Although new camera technologies, including thermal video sensors, may improve the performance of digital video-based sensors, their performance under various conditions has rarely been evaluated at multimodal facilities. The purpose of this research is to integrate existing computer vision methods for automated data collection and evaluate the detection, classification, and speed measurement performance of thermal

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Cruz Ulloa, Christyan, David Orbea, Jaime del Cerro, and Antonio Barrientos. "Thermal, Multispectral, and RGB Vision Systems Analysis for Victim Detection in SAR Robotics." Applied Sciences 14, no. 2 (2024): 766. http://dx.doi.org/10.3390/app14020766.

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Technological advancements have facilitated the development of sophisticated vision systems, integrating optical sensors with artificial vision and machine learning techniques to create applications in different fields of robotics. One such field is Search and Rescue (SAR) robotics, which has historically played a significant role in assisting brigades following post-disaster events, particularly in exploration phases and, crucially, in victim identification. The importance of employing these systems in victim identification lies in their functionality under challenging conditions, enabling th

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Phuong Thanh, Nguyen Thi, and Doan Ngoc Phuong. "Research and Design Handle Temperature Camera." Middle East Journal of Applied Science & Technology 05, no. 02 (2022): 61–69. http://dx.doi.org/10.46431/mejast.2022.5208.

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Thermal cameras are useful devices that are used in many different situations, such as quality control, system maintenance, structural repair, security, medical, monitoring, treatment and diagnose human health or to research and develop advanced technological components. It provides visual temperature information that cannot be perceived by the human senses. Gade & Moeslund (2014) specified that Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance

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Giesko, Tomasz, and Piotr Garbacz. "Application of Hybrid Vision Method for the Hot Aluminium Surface Inspection." Solid State Phenomena 199 (March 2013): 267–72. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.267.

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The paper presents the possibilities of a hybrid vision method based on simultaneous analysis of infrared and vision images for surface inspection of hot aluminium in a manufacturing process. The system consists of a NIR/SWIR camera and a high resolution visual camera, and a computer based image analysis system. The simultaneous analysis of infrared and vision images will enable surface inspection for detecting defects in temperature range from 200°C to 600°C. Thermal images present temperature distribution on the surface, and contain information about the manufacturing process. The analysis o

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Chen, Mengjuan, Simeng Tian, Fan He, Qingqin Fu, Qingyi Gu, and Baolin Wu. "Modeling and Calibration of Active Thermal-Infrared Visual System for Industrial HMI." Electronics 11, no. 8 (2022): 1230. http://dx.doi.org/10.3390/electronics11081230.

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In the industrial application of the human-machine interface (HMI), thermal-infrared cameras can detect objects that are limited by visible-spectrum cameras. It can receive the energy radiated by a target through an infrared detector and obtain the thermal image corresponding to the heat distribution field on the target surface. Because of its special imaging principle, a thermal-infrared camera is not affected by the light source when imaging. Compared to visible-spectrum cameras, thermal imaging cameras can better detect defects with poor contrast but temperature differences or internal defe

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Tkachuk, А. H., O. M. Bezvesilna, and О. О. Dobrzhanskyi. "AUTOMATED SYSTEM BASED ON A MOBILE PLATFORM WITH AUTONOMOUS STABILIZATION FOR MEASURING THERMAL INDICATORS OF OBJECTS." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 1(22) (2023): 36–44. http://dx.doi.org/10.32684/2412-5288-2023-1-22-36-44.

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Mobile robotic platforms are autonomous devices consisting of mechanical, electrical and electronic components that allow them to move on land, water or in the air. These platforms can be used in a variety of industries, including medicine, industry, research and intelligence, and military applications. The article deals with a new automated system with autonomous stabilization based on a mobile platform for measuring the thermal indicators of objects. The developed 3D model of a mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system is

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Nimura, Kohhei, and Marcin Adamczyk. "Methodology for Designing an Optimal Test Stand for Camera Thermal Drift Measurements and Its Stability Verification." Sensors 22, no. 24 (2022): 9997. http://dx.doi.org/10.3390/s22249997.

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The effects of temperature changes on cameras are realized by observing the drifts of characteristic points in the image plane. Compensation for these effects is crucial to maintain the precision of cameras applied in machine vision systems and those expected to work in environments with varying factors, including temperature changes. Generally, mathematical compensation models are built by measuring the changes in the intrinsic and extrinsic parameters under the temperature effect; however, due to the assumptions of certain factors based on the conditions of the test stand used for the measur

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Rivera Velázquez, Josué Manuel, Louahdi Khoudour, Guillaume Saint Pierre, et al. "Analysis of Thermal Imaging Performance under Extreme Foggy Conditions: Applications to Autonomous Driving." Journal of Imaging 8, no. 11 (2022): 306. http://dx.doi.org/10.3390/jimaging8110306.

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Object detection is recognized as one of the most critical research areas for the perception of self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR technology, allowing perception of the vehicle’s surroundings. However, harsh weather conditions mitigate the performances of these systems. Under these circumstances, thermal imaging becomes the complementary solution to current systems not only because it makes it possible to detect and recognize the environment in the most extreme conditions, but also because thermal images are compatible with detection and rec

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Cherchi, Vittorio, Umberto Baccarani, Luigi Vetrugno, et al. "Early Graft Dysfunction Following Kidney Transplantation: Can Thermographic Imaging Play a Predictive Role?" Seminars in Cardiothoracic and Vascular Anesthesia 25, no. 3 (2021): 196–99. http://dx.doi.org/10.1177/10892532211007270.

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The shortage of organs and the growing need for them over recent years have led to the adoption of less stringent donor acceptance criteria, resulting in the approval of marginal organs for transplant, especially from elderly donors. This implies a higher risk of graft dysfunction, a higher frequency of immunological and vascular complications, and shorter graft survival. Several strategies have been implemented in clinical practice to assess graft quality and suitability for transplantation. We have started to test the prospective intraoperative use of thermo-vision cameras during graft reper

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Jia, Tong, HongYu Wang, DongYue Chen, et al. "3D Temperature Distribution Model Based on Thermal Infrared Image." Journal of Sensors 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4815021.

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This paper aims to study the construction of 3D temperature distribution reconstruction system based on binocular vision technology. Initially, a traditional calibration method cannot be directly used, because the thermal infrared camera is only sensitive to temperature. Therefore, the thermal infrared camera is calibrated separately. Belief propagation algorithm is also investigated and its smooth model is improved in terms of stereo matching to optimize mismatching rate. Finally, the 3D temperature distribution model is built based on the matching of 3D point cloud and 2D thermal infrared in

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Semitela, Ângela, João Silva, André F. Girão, et al. "Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks." Sensors 25, no. 11 (2025): 3272. https://doi.org/10.3390/s25113272.

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This paper proposes an automated system integrating infrared thermography (IRT) and computer vision for air leak detection and localization in end-of-line (EOL) testing stations. This system consists of (1) a leak tester for detection and quantification of leaks, (2) an infrared camera for real-time thermal image acquisition; and (3) an algorithm for automatic leak localization. The python-based algorithm acquires thermal frames from the camera’s streaming video, identifies potential leak regions by selecting a region of interest, mitigates environmental interferences via image processing, and

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Blanchard, François, Joel Edouard Nkeck, Dominique Matte, Riad Nechache, and David G. Cooke. "A Low-Cost Terahertz Camera." Applied Sciences 9, no. 12 (2019): 2531. http://dx.doi.org/10.3390/app9122531.

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Cost effective imaging is required for a wide range of scientific and engineering applications. For electromagnetic waves in the terahertz (THz) frequency range, a key missing element that has prevented widespread applications in this spectral range is an inexpensive and efficient imaging device. In recent years, vanadium oxide based thermal sensors have rapidly entered the market for night vision capability. At the same time, sensors based on this technology have been applied to the THz domain, but with two orders of magnitude larger pricing range. Here we show that, with a simple modificatio

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Korolev, Sergey, Igor Urmanov, Aleksei Sorokin, and Olga Girina. "Detecting Volcano Thermal Activity in Night Images Using Machine Learning and Computer Vision." Remote Sensing 15, no. 19 (2023): 4815. http://dx.doi.org/10.3390/rs15194815.

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One of the most important tasks when studying volcanic activity is to monitor their thermal radiation. To fix and assess the evolution of thermal anomalies in areas of volcanoes, specialized hardware-thermal imagers are usually used, as well as specialized instruments of modern satellite systems. The data obtained with their help contain information that makes it relatively easy to track changes in temperature and the size of a thermal anomaly. At the same time, due to the high cost of such complexes and other limitations, thermal imagers sometimes cannot be used to solve scientific problems r

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Alekseev, A. P., E. V. Goshin, N. S. Davydov, N. A. Ivliev, and A. V. Nikonorov. "Visual-inertial odometry algorithms on the base of thermal camera." Information Technology and Nanotechnology, no. 2416 (2019): 183–88. http://dx.doi.org/10.18287/1613-0073-2019-2416-183-188.

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A trajectory building based on a camera data is one of the most popular tasks in the field of machine vision. In particular, this task appears when it is necessary to navigate in the absence of signals from global navigation systems such as GLONASS and GPS. In this work, study of existing methods of visual odometry for the flight trajectory restoration by shooting an infrared camera of the thermal range were conducted. To improve the accuracy, it is proposed to use the data from inertial sensors. As a result, it is shown that the proposed solution allows to successfully solve the problem of tr

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Simarro, Gonzalo, Daniel Calvete, and Paola Souto. "UCalib: Cameras Autocalibration on Coastal Video Monitoring Systems." Remote Sensing 13, no. 14 (2021): 2795. http://dx.doi.org/10.3390/rs13142795.

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Following the path set out by the “Argus” project, video monitoring stations have become a very popular low cost tool to continuously monitor beaches around the world. For these stations to be able to offer quantitative results, the cameras must be calibrated. Cameras are typically calibrated when installed, and, at best, extrinsic calibrations are performed from time to time. However, intra-day variations of camera calibration parameters due to thermal factors, or other kinds of uncontrolled movements, have been shown to introduce significant errors when transforming the pixels to real world

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Saroj Kumari. "Infrared Thermography (IRT) and CNN-Yolo based Emotion and Face Recognition." Journal of Electrical Systems 20, no. 10s (2024): 8530–36. https://doi.org/10.52783/jes.8762.

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Since convolutional neural networks have been used in computer vision, emotion identification has emerged as a real-world issue that needs to be addressed. On the other hand, determining feelings based on everyday visuals or entertainment is not a reliable enough method. In light of the fact that humans are able to readily repeat emotions one after the other, therefore tricking algorithms that have been taught, a fresh method need to be taken into account. There is a possibility that thermal cameras might be an appropriate method for the development of more accurate emotion identification algo

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Soetedjo, Aryuanto, and Evy Hendriarianti. "A Comparative Study of Vetiveria zizanioides Leaf Segmentation Techniques Using Visible, Infrared, and Thermal Camera Sensors in an Outdoor Environment." Applied System Innovation 6, no. 1 (2022): 1. http://dx.doi.org/10.3390/asi6010001.

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A camera vision system is a fast and effective approach to monitoring leaves. It can be used to monitor plant growth, detect diseases, and conduct plant phenotyping. However, due to the outdoor environment of plants, it becomes challenging to use. This paper addresses the problems of Vetiveria zizanioides leaf segmentation by comparing different camera types and segmentation techniques. Visible, no infrared filter (NoIR), and thermal cameras interfaced in an embedded device were used to capture plants during the day and at night. Several popular thresholding techniques and the K-Means algorith

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Bhagat, Ujjwal, Aryan Bijoy, Sanika Paigude, Levin Chalarakal, and Prof. Kedar M. Kulkarni. "Human Detection for Search-and-Rescue Operations by using Infrared Camera Module." International Journal of Ingenious Research, Invention and Development (IJIRID) 4, no. 1 (2025): 25–33. https://doi.org/10.5281/zenodo.14949713.

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<em>This paper reports on the design of an infrared camera module for human detection in search-and-rescue missions, specifically after earthquakes. The camera module employs advanced computer vision techniques, combining YOLOv8 with CNNs for pre- processing. The pre-processing stage involves the enhancement of thermal images through noise reduction and contrast improvement to ensure the reliable detection of humans under adverse conditions, such as low visibility and occlusion. The system was tested in simulated debris environments using a Hexapod robot and exhibited high accuracy and robust

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Hwang, Woong, Sang Been Oh, Yoon Joo Nam, and Soonghwan Ro. "A Study on the Development of Night Vision Thermal Camera Using Deep Learning." Journal of Korean Institute of Communications and Information Sciences 44, no. 12 (2019): 2332–38. http://dx.doi.org/10.7840/kics.2019.44.12.2332.

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Yang, Dong Jo, Chang Hyun Kim, and Jae Yeol Kim. "Evaluation of Defects in the Bonded Area of Shoes by Using Infrared Thermal Vision Camera." International Journal of Modern Physics B 17, no. 08n09 (2003): 1947–52. http://dx.doi.org/10.1142/s0217979203019927.

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Diagnosis or measurements using Infrared thermo-image hasn't been available. A quick diagnosis and thermal analysis can be possible when that kind of system is introduced to the investigation of each part. In this study, Infrared Camera, Thermo-vision 900 of AGEMA Company was used in order to investigate. Infrared Camera usually detects only Infrared wave from the light in order to illustrate the temperature distribution. Infrared diagnosis system can be applied to various the field. But the defect discrimination can be automatic or mechanization on the special shoes total inspection system. A

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Senn, J. A., J. P. Mills, P. E. Miller, et al. "ON-SITE GEOMETRIC CALIBRATION OF THERMAL AND OPTICAL SENSORS FOR UAS PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 355–61. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-355-2020.

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Abstract. UAS imagery has become a widely used source of information in geomorphic research. When photogrammetric methods are applied to quantify geomorphic change, camera calibration is essential to ensure accuracy of the image measurements. Insufficient self-calibration based on survey data can induce systematic errors that can cause DEM deformations. The typically low geometric stability of consumer grade sensors necessitates in-situ calibration, as the reliability of a lab based calibration can be affected by transport. In this research a robust on-site workflow is proposed that allows the

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Kurmi, Indrajit, David C. Schedl, and Oliver Bimber. "Thermal Airborne Optical Sectioning." Remote Sensing 11, no. 14 (2019): 1668. http://dx.doi.org/10.3390/rs11141668.

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We apply a multi-spectral (RGB and thermal) camera drone for synthetic aperture imaging to computationally remove occluding vegetation for revealing hidden objects, as required in archeology, search-and-rescue, animal inspection, and border control applications. The radiated heat signal of strongly occluded targets, such as a human bodies hidden in dense shrub, can be made visible by integrating multiple thermal recordings from slightly different perspectives, while being entirely invisible in RGB recordings or unidentifiable in single thermal images. We collect bits of heat radiation through

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Mężyk, Jordan, and Szymon Kowieski. "Monitoring the FSW Processes with Use of Thermal Imaging." Solid State Phenomena 220-221 (January 2015): 859–63. http://dx.doi.org/10.4028/www.scientific.net/ssp.220-221.859.

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Friction stir welding (FSW) is a recently developed method for making a rigid joint of materials that are otherwise hard to weld. It uses a rotating tool for softening the materials without reaching the melting point, and while the tool is moved along the joint line the plasticised material from the joined materials is mixed and hardened producing the solid phase bond. The article presents the authors’ method for monitoring the Friction Stir Welding (FSW) processes with use of thermal imaging camera.FSW method is a new method and there are only few tools to assess the quality of the process, e

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Wang, Xin, Baolong Yuan, and Yanhui Wang. "A computer vision monitoring for human fall using visible light camera and thermal imager." International Journal of Modelling, Identification and Control 43, no. 2 (2023): 145. http://dx.doi.org/10.1504/ijmic.2023.10056488.

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Yuan, Baolong, Yanhui Wang, and Xin Wang. "A computer vision monitoring for human fall using visible light camera and thermal imager." International Journal of Modelling, Identification and Control 43, no. 2 (2023): 145–53. http://dx.doi.org/10.1504/ijmic.2023.132608.

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Pimenta, Catarina, Carla Costa Pereira, and Raul Fangueiro. "Textile Pattern Design in Thermal Vision—A Study on Human Body Camouflage." Materials 14, no. 16 (2021): 4364. http://dx.doi.org/10.3390/ma14164364.

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This paper reports on a new approach to the creation process in fashion design as a result of the exploitation of thermal camouflage in the conceptualization of clothing. The thermal images’ main variation factors were obtained through the analysis of their color behavior in a (diurnal and nocturnal) outdoor beach environment, with the presence and absence of a dressed human body (through the use of a thermal imaging camera), such as the analysis of textile materials in a laboratory (simulating the captured outdoor atmospheric temperatures and those of the model’s skin using the climatic chamb

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Gozali, Alfian Akbar. "Power Station Engine Failure Early Warning System Using Thermal Camera." Jurnal Penelitian Pendidikan IPA 9, no. 8 (2023): 6590–96. http://dx.doi.org/10.29303/jppipa.v9i8.4598.

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Power station engines are critical infrastructure components that require constant monitoring to prevent failures and ensure an uninterrupted power supply. This paper proposes a failure early warning system based on a thermal camera using a computer vision approach. The system uses a thermal camera to generate thermal images in a video format, which is then processed by an automated fire detection engine and temperature detection engine. The results of these two subsystems are then used as input for an anomaly detection engine, which predicts the likelihood of engine failure. Based on the resu

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Martin, Pierre-Etienne. "ApeTI: A Thermal Image Dataset for Face and Nose Segmentation with Apes." Signals 5, no. 1 (2024): 147–64. http://dx.doi.org/10.3390/signals5010008.

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The ApeTI dataset was built with the aim of retrieving physiological signals such as heart rate, breath rate, and cognitive load from thermal images of great apes. We want to develop computer vision tools that psychologists and animal behavior researchers can use to retrieve physiological signals noninvasively. Our goal is to increase the use of a thermal imaging modality in the community and avoid using more invasive recording methods to answer research questions. The first step to retrieving physiological signals from thermal imaging is their spatial segmentation to then analyze the time ser

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Lee, Ill-Joo, Seung-Chan Hong, Byung-Sam Kim, and Jae-Kyung Cheon. "Optical Properties of CaF2 Anti-Reflection Coating On ZnS for 8~12 µm Infrared Region." Korean Journal of Metals and Materials 58, no. 6 (2020): 433–38. http://dx.doi.org/10.3365/kjmm.2020.58.6.433.

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Technologies for pedestrian safety are increasingly emphasized by Automakers in advance of autonomous driving vehicles. A Night Vision System attached behind the front grille can reduce fatal accidents, especially during the nighttime, however, consumers may hesitate to adopt such systems on account of their high price. High-cost Germanium is used in commercial Night Vision System windows, and therefore replacing it with a cheaper infrared window material can lead to a more affordable system. To achieve this, Zinc Sulfide (ZnS), which has about 70% transmittance in the Long-Wavelength Infrared

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Tushar, Patil, and Uddin Ahmad Ameen. "Visual and Thermal Inspection of Power Substation by Robot." International Journal of Trend in Scientific Research and Development 1, no. 5 (2017): 541–45. https://doi.org/10.31142/ijtsrd2344.

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Electricity sector in India is growing at rapid pace. During the current year 2017 18 Up to 31.05.2017 , the Peak Demand is about 159.6 GW and the Installed Capacity is 330.3 GW with generation mix of Thermal 67.1 , Hydro 13.5 , Renewable 17.3 and Nuclear 2.1 . To maintain such a big system it is necessary to develop a scheme which overcomes issue of failure of equipment in any circumstances. To overcome this failure, maintenance in power substation at regular interval has been carried out, for this auditing of power equipments temperature, testing result and mechanism is an effective way to p

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OH, YOOL KWON, DONG PYO SEO, and HO DONG YANG. "VISUALIZATION ON THERMAL AND DYNAMIC CHARACTERISTICS OF TWO PHASE FLOW." International Journal of Modern Physics B 20, no. 25n27 (2006): 4347–52. http://dx.doi.org/10.1142/s0217979206041331.

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This paper was visually studied the thermal and dynamic characteristics of two phase flow by vertical upward bubbles in the liquid. Air-water model in a ladle was visually studied with a particle image velocimetry (PIV) and a thermo vision camera. Once gas was injected into the liquid, bubbles-liquid plume started to form and then circulations was caused by bubbles' behavior helped to reach temperature equilibrium and remove impurities in the liquid. The experimental results showed that temperature equilibrium between water and gas could be achieved in a short time. High speed CCD camera and a

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Maset, E., A. Fusiello, F. Crosilla, R. Toldo, and D. Zorzetto. "PHOTOGRAMMETRIC 3D BUILDING RECONSTRUCTION FROM THERMAL IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W3 (August 18, 2017): 25–32. http://dx.doi.org/10.5194/isprs-annals-iv-2-w3-25-2017.

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This paper addresses the problem of 3D building reconstruction from thermal infrared (TIR) images. We show that a commercial Computer Vision software can be used to automatically orient sequences of TIR images taken from an Unmanned Aerial Vehicle (UAV) and to generate 3D point clouds, without requiring any GNSS/INS data about position and attitude of the images nor camera calibration parameters. Moreover, we propose a procedure based on Iterative Closest Point (ICP) algorithm to create a model that combines high resolution and geometric accuracy of RGB images with the thermal information deri

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WORSZTYNOWICZ, Barbara, Andrzej UHRYŃSKI, Bartłomiej BORKOWSKI, and Marek PLUTA. "The analysis of thermal state of catalytic converter depending on fuel supply and engine load using thermo-vision." Combustion Engines 170, no. 3 (2017): 30–36. http://dx.doi.org/10.19206/ce-2017-305.

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The paper discusses the problem of thermal state of three-way catalytic converter depending on engine load with spark ignition fueled with gasoline and natural gas. The measurements on the test bench were performed, during which the temperature of the exhaust gases in the exhaust system was measured with the help of thermocouples, and at the same time, the track of the thermal state of the catalytic converter was monitored using thermo-vision camera. The stable work of engine with different rotation speed and values of load was considered together with transient states. The results of the meas

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PHADKE, Anuradha, Rucha VAIKAR, Avni KHETRAPAL, and Mehul VERMA. "Object Detection on Thermal Images: Performance of Yolov4 vs Yolov4 Tiny trained on Custom Datasets." Electrotehnica, Electronica, Automatica 72, no. 3 (2024): 53–61. http://dx.doi.org/10.46904/eea.23.72.3.1108006.

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The process of identifying and pinpointing the location of objects within an image or video is a crucial task in computer vision, known as object detection. While there has been significant progress in object detection using conventional optical RGB images, there has been comparatively less research done on object detection using thermal images. Thermal imaging has the advantage of being able to capture images in low light or even complete darkness, making it an attractive technology for surveillance applications. However, due to the scarcity of publicly available thermal image datasets, the d

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Ciric, Ivan, Zarko Cojbasic, Vlastimir Nikolic, Tomislav Igic, and Branko Tursnek. "Intelligent optimal control of thermal vision-based Person-Following Robot Platform." Thermal Science 18, no. 3 (2014): 957–66. http://dx.doi.org/10.2298/tsci1403957c.

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In this paper the supervisory control of the Person-Following Robot Platform is presented. The main part of the high level control loop of mobile robot platform is a real-time robust algorithm for human detection and tracking. The main goal was to enable mobile robot platform to recognize the person in indoor environment, and to localize it with accuracy high enough to allow adequate human-robot interaction. The developed computationally intelligent control algorithm enables robust and reliable human tracking by mobile robot platform. The core of the recognition methods proposed is genetic opt

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