• Title/Summary/Keyword: infrared thermal image

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Development of an Optimum Void Detection Chart using Heat Transfer Simulation (열전달 시뮬레이션을 통한 최적공극탐지 차트개발)

  • Choi, Hyun-Ho;Park, Jin-Hyung;Ji, Goang-Seup
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.11a
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    • pp.241-244
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    • 2006
  • It is essential to develop a large capacity, non-contact nondestructive inspection system having high reliability to investigate repaired and strengthened structures. Nowadays, an infrared camera is widely used in non-contact nondestructive inspection system. Because an infrared camera is sensitive to the surrounding environment, it is necessary to improve a sensitivity of thermal image information and a relationship between defects and thermal image information. In this papaer, presented is an optimum void detection chart for the optimum conditions to detect infrared rays from inside and outside defects like voids and cracks in concrete structures using extensive computer simulation. Sensitivity studies are performed with respect to variables influencing the temperature distribution such as heating temperature, heating time, and geometries of defect, etc. It may be stated that it could be successfully utilized for the non-contact nondestructive inspection system to detect defects in concrete structures.

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A Study on the Improvement of Image Quality for a Thermal Imaging System with focal Plane Array Typed Sensor (초점면 배열 방식 열상 카메라 시스템의 화질 개선 연구)

  • 박세화
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.1 no.2
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    • pp.27-31
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    • 2000
  • Thermal imaging system is implemented for the measurement and the analysis of the thermal distribution of the target objects. The main Part of the system is thermal camera in which a focal plane array typed sensor is introduced The sensor detects mid-range infrared spectrum or target objects and then it output generic video signal which should be processed to form a thermal image frame. A digital signal processor(DSP) in the system inputs analog to digital converted data. performs algorithms to improve the thermal images and then outputs the corrected frame data to frame buffers for NTSC encoding and for digital outputs.. To enhance the quality of the thermal images, two point correction method is applied. Figures indicate that the corrected thermal images are much improved.

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Evaluating Changing Trends of Surface Temperature in Winter according to Rooftop Color using Remotely Sensed Thermal Infrared Image (원격 열화상을 이용한 지붕색상별 겨울철 표면온도 변화추세 비교 평가)

  • Ryu, Taek Hyoung;Um, Jung Sup
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.1
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    • pp.27-37
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    • 2013
  • A roof surface temperature monitoring, utilizing remotely sensed thermal infrared image has been specifically proposed to explore evidential data for heating load in winter by cool roof. The remotely sensed thermal infrared image made it possible to identify area-wide patterns of changing trends of surface temperature according to rooftop color (white, black, blue, green) which cannot be acquired by traditional field sampling. The temperature difference of cool roof having a higher solar reflectance were ranged from $3^{\circ}C$ up to $9^{\circ}C$, compared to the general roofs. It is confirmed that there is a significant potential to the energy saving by introducing the cool roof in a Korean climate since up to $18.46^{\circ}C$ difference in cool roof, compared to the general roofs in summer were already identified in Seoul, South Korea. It is anticipated that this research output could be used as a valuable reference in identifying heating load in winter by cool roof since an objective monitoring has been proposed based on the area-wide measured, fully quantitative performance of remotely sensed thermal infrared image.

Defect Detection of Wall Thinned Straight Pipe using Shearography and Lock-in Infrared Thermography (전단간섭계와 적외선열화상을 이용한 감육 직관의 결함검출)

  • Kim, Kyeong-Suk;Jung, Hyun-Chul;Chang, Ho-Seob;Kim, Ha-Sig;La, Sung-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.11
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    • pp.55-61
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    • 2009
  • The wall thinning defect of nuclear power pipe is mainly occurred by the affect of the flow accelerated corrosion (FAC) of fluid. This type of defect becomes the cause of damage or destruction of in carbon steel pipes. Therefore, it is very important to measure defect which is existed not only on the welding part but also on the whole field of pipe. This study use dual-beam Shearography, which can measure the out-of-plane deformation and the in-plane deformation by using another illuminated laser beam and simple image processing technique. And this study proposes Infrared thermography, which is a two-dimensional non-contact nondestructive evaluation that can detect internal defects from the thermal distribution by the inspection of infrared light radiated from the object surface. In this paper, defect of nuclear power pipe were, measured using dual-beam shearography and infrared thermography, quantitatively evaluated by the analysis of phase map and thermal image pattern.

Thermo-Analysis of Machining Center Main-Axis Thermo-Displacement for Infrared Rays Thermo-Image Camera (적외선 열화상 카메라를 이용한 머시닝 센터 주축 열변위에 관한 열해석)

  • Kim, Jae-Yeol;Yoon, Sung-Un;Yim, Noh-Bin;Yu, Sin;Ma, Sang-Dong;Yang, Dong-Jo;Song, In-Suk
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.125-130
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    • 2001
  • 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 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 field. Also, it is more effective to analyze temperature distribution on the machining center main-axis process.

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Object-based Compression of Thermal Infrared Images for Machine Vision (머신 비전을 위한 열 적외선 영상의 객체 기반 압축 기법)

  • Lee, Yegi;Kim, Shin;Lim, Hanshin;Choo, Hyon-Gon;Cheong, Won-Sik;Seo, Jeongil;Yoon, Kyoungro
    • Journal of Broadcast Engineering
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    • v.26 no.6
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    • pp.738-747
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    • 2021
  • Today, with the improvement of deep learning technology, computer vision areas such as image classification, object detection, object segmentation, and object tracking have shown remarkable improvements. Various applications such as intelligent surveillance, robots, Internet of Things, and autonomous vehicles in combination with deep learning technology are being applied to actual industries. Accordingly, the requirement of an efficient compression method for video data is necessary for machine consumption as well as for human consumption. In this paper, we propose an object-based compression of thermal infrared images for machine vision. The input image is divided into object and background parts based on the object detection results to achieve efficient image compression and high neural network performance. The separated images are encoded in different compression ratios. The experimental result shows that the proposed method has superior compression efficiency with a maximum BD-rate value of -19.83% to the whole image compression done with VVC.

Implementation of a Thermal Imaging System with Focal Plane Array Typed Sensor (초점면 배열 방식의 열상카메라 시스템의 구현)

  • 박세화;원동혁;오세중;윤대섭
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.396-403
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    • 2000
  • A thermal imaging system is implemented for the measurement and the analysis of the thermal distribution of the target objects. The main part of the system is a thermal camera in which a focal plane array typed sensor is introduced. The sensor detects the mid-range infrared spectrum of target objects and then it outputs a generic video signal which should be processed to form a frame thermal image. Here, a digital signal processor(DSP) is applied for the high speed processing of the sensor signals. The DSP controls analog-to-digital converter, performs correction algorithms and outputs the frame thermal data to frame buffers. With the frame buffers can be generated a NTSC signal and transferred the frame data to personal computer(PC) for the analysis and a monitoring of the thermal scenes. By performing the signal processing functions in the DSP the overall system achieves a simple configuration. Several experimental results indicate the performance of the overall system.

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Evaluation for the Heating Performance of the Heated Clothing on Market (시판 발열의복의 발열성능 평가)

  • Lee, Hyun-Young;Jeong, Yeon-Hee
    • Fashion & Textile Research Journal
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    • v.12 no.6
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    • pp.843-850
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    • 2010
  • To evaluate the heating performance of commercial heated vests, we investigated the thermal images and the temperature between body and vest for three heated vests. We captured infrared thermography by FT-IR Spectrometer to analyzed the heating temperature of the heating elements taken from the vests, and the maximum heating temperature of the vests was compared with thermal image in the room temperature($18^{\circ}C$). In outdoor experiment($-4.7^{\circ}C$), we measured the inner temperature as well as the thermal image of heated vests. Four healthy men participated in this experiment, and the ANOVA and Duncan test was performed for statistical analysis. As the results, the heating temperature range of the heated vests used in this experiment was $32{\sim}42^{\circ}C$, much lower than the displayed temperature range in their specifications, so the exact specification for heating performance of heated clothing was required. In comparisons of the heating performance among the heated vests, we found out that the insulation of clothing is very important to design the heated clothing, because the inner temperature of the vest had good insulation by itself was higher than that of the vest shown higher temperature over $7^{\circ}$ than another vests at the heating temperature.

Investigation of Frozen Rock Failure using Thermal Infrared Image (열적외선영상을 이용한 동결된 암석의 파괴특성 연구)

  • Park, Jihwan;Park, Hyeong-Dong
    • Tunnel and Underground Space
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    • v.25 no.2
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    • pp.144-154
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    • 2015
  • Mechanical energy is accumulated in the object when stress is exerted on rock specimens, and the failure is occurred when the stress is larger than critical stress. The accumulated energy is emitted as various forms including physical deformation, light, heat and sound. Uniaxial compression strength test and point load strength test were carried out in low temperature environment, and thermal variation of rock specimens were observed and analyzed quantitatively using thermal infrared camera images. Temperature of failure plane was increased just before the failure because of concentration of stress, and was rapidly increased at the moment of the failure because of the emission of thermal energy. The variations of temperature were larger in diorite and basalt specimens which were strong and fresh than in tuff specimens which were weak and weathered. This study can be applied to prevent disasters in rock slope, tunnel and mine in cold regions and to analyze satellite image for predicting earthquake in cold regions.

Development of IR Thermal Camera Detector based on Smartphone Interlocking for Hidden Camera Crime Prevention (몰래카메라 범죄방지를 위한 스마트폰 연동 기반의 IR 열카메라 탐지기 개발)

  • Kang, Young-Gil;Cho, Pil-Gu;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.6
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    • pp.1-8
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    • 2021
  • The performance of hidden camera cameras is improving day by day due to miniaturization and advanced technology integration according to the speed of technological development of smartphones. As this external networking computing environment is advanced and diversified, exposure to hidden cameras in addition to general safety cameras is also increasing. On the other hand, the technology for detecting and preventing hidden cameras is not keeping up with the development and speed of these hidden cameras. Therefore, in this study, the heat of the hidden camera was detected using infrared thermal detection technology based on general image and thermal image synthesis technology, and the reflectance of each wavelength according to the difference in ambient temperature was analyzed to reduce the false positive rate.