• 제목/요약/키워드: Thermal video camera

검색결과 38건 처리시간 0.025초

6U급 초소형 위성 HiREV(High Resolution Video and Image)의 광학 카메라의 열 설계 및 궤도 열 해석 (Thermal Design and On-Orbit Thermal Analysis of 6U Nano-Satellite High Resolution Video and Image (HiREV))

  • 신한섭;김해동
    • 우주기술과 응용
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    • 제3권3호
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    • pp.257-279
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    • 2023
  • 한국항공우주연구원에서는 심우주 탐사를 위한 핵심 기술 개발을 위해 6U급 초소형 위성인 HiREV(high resolution video and image)를 개발하였다. 6U HiREV 초소형 위성의 임무는 지구 관측을 위한 고해상도 영상 및 동영상 촬영이며, 임무 수행 시 고온의 카메라 모듈로 인해 렌즈와 모듈 간의 열 지향 오차가 발생할 수 있다. 열 지향 오차는 해상도에 큰 영향을 미치므로, 이를 해결하기 위해 열 설계가 필요하다. 또한 HiREV 광학 카메라는 지상에서 쓰이는 상용제품(COTS, Commercial Off The Shelf)을 이용하여 개발한 것이므로 상온에서 가장 좋은 성능을 가지며, 고온/저온 환경인 우주에서 활용되기 위해 별도의 열 설계가 적용되어야 한다. 본 논문에서는 임무 카메라 탑재체를 위해 3가지의 수동 열 설계가 수행되었으며, 궤도열 해석을 통하여 열 설계가 효과적임을 확인하였다.

VISUAL MEASUREMENT METHOD USING A CIRCULAR GROOVE IMAGE FOR MEASURING INTERNAL DEFECTS OF PIPES IN NUCLEAR POWER PLANT

  • Choi, Young-Soo;Jeong, Kyung-Min;Lee, Sung-Uk;Jung, Seung-Ho
    • Nuclear Engineering and Technology
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    • 제40권5호
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    • pp.419-428
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    • 2008
  • During the overhaul period of nuclear power plants in Korea, an ROV(Remotely Operated Vehicle) enters the cold-leg pipes connected with the reactor to examine the state of the thermal sleeves and their positions in the safety injection nozzles. To measure the positions of the thermal sleeves or scratches with video images recorded during the examination, time-varying camera parameters should be known, such as the focal length and principal points used for the capturing each video image. In this paper, we propose a camera calibration and measurement scheme by using a single image containing two circular grooves of a cylindrical nozzle whose radius and distance are known.

Camera Self-Calibration from Two Ellipse Contours in Pipes

  • Jeong, Kyung-Min;Seo, Yong-Chil;Choi, Young-Soo;Cho, Jai-Wan;Lee, Sung-Uk;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1516-1519
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    • 2004
  • A tele-operated robot should be used to maintain and inspect nuclear power plants to reduce the radiation exposure to the human operators. During an overhaul of the nuclear power plants in Korea, a ROV(Remotely Operated Vehicle) may enter a cold-leg connected to the reactor to examine the state of the thermal sleeve and it's position in the safety injection nozzle. To measure the positions of the thermal sleeve or scratches from the video images captured during the examination, the camera parameters should be identified. However, the focal length of the CCD camera could be increased to a close up of the target and the aspect ratio and the center of the image could also be varied with capturing devices. So, it is desired to self-calibrated the intrinsic parameters of the camera and capturing device with the video images captured during the examination. In the video image of the safety injection nozzle, two or more circular grooves around the nozzle are shown as ellipse contours. In this paper, we propose a camera self-calibration method using a single image containing two circular grooves which are the greatest circles of the cylindrical nozzle whose radius and distance are known.

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열화상 카메라를 이용한 3D 컨볼루션 신경망 기반 낙상 인식 (3D Convolutional Neural Networks based Fall Detection with Thermal Camera)

  • 김대언;전봉규;권동수
    • 로봇학회논문지
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    • 제13권1호
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    • pp.45-54
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    • 2018
  • This paper presents a vision-based fall detection system to automatically monitor and detect people's fall accidents, particularly those of elderly people or patients. For video analysis, the system should be able to extract both spatial and temporal features so that the model captures appearance and motion information simultaneously. Our approach is based on 3-dimensional convolutional neural networks, which can learn spatiotemporal features. In addition, we adopts a thermal camera in order to handle several issues regarding usability, day and night surveillance and privacy concerns. We design a pan-tilt camera with two actuators to extend the range of view. Performance is evaluated on our thermal dataset: TCL Fall Detection Dataset. The proposed model achieves 90.2% average clip accuracy which is better than other approaches.

DSP Embedded Early Fire Detection Method Using IR Thermal Video

  • Kim, Won-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권10호
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    • pp.3475-3489
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    • 2014
  • Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

열화상 카메라를 이용한 건식벽체의 스틸스터드 형상에 따른 열성능 비교연구 (A Study on Thermal performance as Form of Steel stud by Using Thermal Video Camera)

  • 장철용;엄은정;이나은
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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    • pp.236-240
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    • 2009
  • Dry wall using steel stud has the advantage of possibility to install various building, so it used to many buildings inside and outside of the country very rapidly. Though Light gauge steel framed housing offers many advantages to the consumer and the builder, the use of steel studs in wall system cause thermal problems such as thermal performance and pattern staing on walls. The present study has been conducted to observe effect of stud by the shape, and two kind of stud is made for this test to compare thermal performance. The test was conducted by setting those stud on the chamber and heating them. As the results of test and photograping by using TVS, there was temperature gap of each stud, and surface temperature of each section was appeared differently due to shape of stud delaying thermal bridge.

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Thermal Infrared Image Analysis for Breast Cancer Detection

  • Min, Sedong;Heo, Jiyoung;Kong, Youngsun;Nam, Yunyoung;Ley, Preap;Jung, Bong-Keun;Oh, Dongik;Shin, Wonhan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권2호
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    • pp.1134-1147
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    • 2017
  • With the rise in popularity of photographic and video cameras, an increasing number of fields are now using thermal imaging cameras. One such application is in the diagnosis of breast cancer, as thermal imaging provides a low-cost and noninvasive method. Thermal imaging is particularly safe for pregnant women, and those with large, dense, or sensitive breasts. In addition, excessive doses of radiation, which may be used in traditional methods of breast cancer detection, can increase the risk of cancer. This paper presents one method of breast cancer detection. Breast images were taken using a thermal camera, with preliminary experiments conducted on Cambodian women. Then the experimental results were analyzed and compared using Shannon entropy and logistic regression.

FDS를 이용한 소화모형 화재거동의 시뮬레이션 (Simulation of Wood Crib Burning Behaviors by Using FDS)

  • 권성필;윤헌주;김형권;라용운;사공성호;신동일
    • 한국화재소방학회:학술대회논문집
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    • 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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    • pp.76-79
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    • 2008
  • In this work wood crib burning behaviors have been simulated by using the FDS(Fire Dynamic Simulator) program. Wood cribs are regularly stacked arrays of wood sticks, and available for the performance rating of fire-extinguishers. On the basis of an angle iron supporter 26 layers of wood sticks have been stacked up. Each layer consists of 5 or 6 wood sticks which are placed in parallel, with a constant distance, and in alternating rows. They are laid between the horizontally adjacent sticks at the before last layer. The wood crib is ignited instantaneously by an amount of burning gasoline below. A comprehensive simulation of such a practical sophisticated combustion is still too difficult to realize with any currently available computer, although the performance of modern processors is getting better everyday. We could carry it out here through parallel computing on the HPC(High Performance Computing) cluster as the feasible alternative. At last the validation has been executed by means of temperature distribution data measured by the thermal video camera.

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재난 감시를 위한 적외선 열화상 처리 시스템의 구현 (Implementation of Infrared Thermal Image Processing System for Disaster Monitoring)

  • 김원호;김동근
    • 융합신호처리학회논문지
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    • 제11권1호
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    • pp.9-12
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    • 2010
  • 본 논문은 재난 감시를 위한 디지털 미디어 프로세서 기반의 적외선 열화상 처리 시스템의 설계 및 구현에 대하여 기술한다. 디지털 열화상 처리 보드는 DM642 디지털 미디어 프로세서와 비디오 인코더, 비디오 디코더 상용 칩을 기반으로 설계하고 구현하였다. 또한, 재난 감시 기능은 적외선 열화상의 온도분포를 분석하고 화재발생과 같은 재난상황을 감시하는 알고리즘을 구현하였으며, 적외선 열화상 입력은 $320\;{\times}\;240\;{\mu}$-bolometer 타입의 적외선 열화상 카메라를 사용하였다. 구현된 시제품의 시험 평가 결과, 10 프레임/초의 처리 속도로 요구되는 적외선 열화상 분석과 화재 검출 기능이 잘 동작 하였으며 구현 시스템의 실용성을 확인하였다.

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

  • 박세화;원동혁;오세중;윤대섭
    • 제어로봇시스템학회논문지
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    • 제6권5호
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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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