• Title/Summary/Keyword: Infrared Camera

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Effective Compaction Method of Hot Mix Asphalt Using Infrared Camera (Infrared Camera를 활용한 가열 아스팔트 혼합물의 효율적인 다짐관리 방안)

  • Kim, Jun-Hyung;Lee, Suck-Hong;Kim, Wan-Sang
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.105-108
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    • 2007
  • In resent years, temperature segregation has been identified as one of the most important concepts concerning segregation. An Infrared Camera is one of the tools that have been recognized to be effective in identifying temperature segregation. Several state of USA have recognized the problem and have enacted Specifications, and/or test procedures to eliminate temperature segregation. The major objective of this study is to investigate effective compaction method of hot mix asphalt during road construction using Infrared Camera.

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Design of a Reflector for Infrared Camera (열화상 카메라용 반사경 설계)

  • Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.1
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    • pp.97-104
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    • 2014
  • Recently infrared cameras have been widely used to diagnosis degradation status of the power substitution system. At the place of high magnetic field, however, electronic parts of infrared camera take a place problem that is not reasonable working due to high magnetic field. In this paper, technique of design for reflector is proposed to perform degradation diagnosis without damage of infrared camera in a power substation system including the rectifier that is able to impact to the infrared camera by high magnetic field.

A Study of Edge Detection for Auto Focus of Infrared Camera

  • Park, Hee-Duk
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.25-32
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    • 2018
  • In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the $3{\times}3$ mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in $3{\times}3$ memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in $3{\times}3$ memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

A Practical FastSLAM Implementation Method using an Infrared Camera for Indoor Environments (실내 환경에서 Infrared 카메라를 이용한 실용적 FastSLAM 구현 방법)

  • Zhang, Hairong;Lee, Heon-Cheol;Lee, Beom-Hee
    • The Journal of Korea Robotics Society
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    • v.4 no.4
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    • pp.305-311
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    • 2009
  • FastSLAM is a factored solution to SLAM problem using a Rao-Blackwellized particle filter. In this paper, we propose a practical FastSLAM implementation method using an infrared camera for indoor environments. The infrared camera is equipped on a Pioneer3 robot and looks upward direction to the ceiling which has infrared tags with the same height. The infrared tags are detected with theinfrared camera as measurements, and the Nearest Neighbor method is used to solve the unknown data association problem. The global map is successfully built and the robot pose is predicted in real time by the FastSLAM2.0 algorithm. The experiment result shows the accuracy and robustness of the proposed method in practical indoor environment.

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Spatial Compare Filter Based Real-Time dead Pixel Correction Method for Infrared Camera

  • Moon, Kil-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.35-41
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    • 2016
  • In this paper, we propose a new real-time dead pixel detection method based on spatial compare filtering, which are usually used in the small target detection. Actually, the soft dead and the small target are cast in the same mold. Our proposed method detect and remove the dead pixels as applying the spatial compare filtering, into the pixel outputs of a detector after the non-uniformity correction. Therefore, we proposed method can effectively detect and replace the dead pixels regardless of the non-uniformity correction performance. In infrared camera, there are usually many dead detector pixels which produce abnormal output caused by manufactural process or operational environment. There are two kind of dead pixel. one is hard dead pixel which electronically generate abnormal outputs and other is soft dead pixel which changed and generated abnormal outputs by the planning process. Infrared camera have to perform non-uniformity correction because of structural and material properties of infrared detector. The hard dead pixels whose offset values obtained by non-uniformity correction are much larger or smaller than the average can be detected easily as dead pixels. However, some dead pixels(soft dead pixel) can remain, because of the difficulty of uncleared decision whether normal pixel or abnormal pixel.

Design of Infrared Camera for Extended Field of View (시야 확장형 적외선카메라 설계)

  • Lee, Yong-chun;Song, Chun-ho;Kim, Sang-woon;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.699-701
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    • 2017
  • Typical operating method for long-range observation cameras are to detect the target at a wide angle of view and to recognize/identify the target with a telephoto angle of view. And the detection/recognition range performance is an important item to evaluate the performance of the defense infrared camera. To increased the detection range performance, the camera's field of view should be narrowed. Due to the narrow field of view, the probability of finding target is relatively low. In this paper, we propose a method to search for target by providing a wide angle view while maintaining detection range performance. M&S and optimized design were used to develop infrared camera with extended field of view and the results of the test summarized.

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Anamorphic Infrared Camera with Wide Field of View and Optomechanical Automatic Athermalization Mechanism (광기구적 자동 비열화가 적용된 비정형 적외선 광각 카메라)

  • Kim, Hyunsook;Ok, Chang Min
    • Korean Journal of Optics and Photonics
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    • v.26 no.4
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    • pp.187-194
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    • 2015
  • A system of infrared camera optics with wide field of view and anamorphic lenses is proposed, and its validity verified through manufacture. The infrared camera produced provides a wide field of view of over 100 degrees in the horizontal direction, and an even greater magnification in the vertical direction. As a result, the system can have a wider surveillance range and improved detection ability at the same time. In addition, a new optomechanical automatic athermalization mechanism is proposed and applied to the infrared camera. Its performance and utility is proved through testing.

Inspection of Calandria Reactor Area of Wolsung NPP using Thermal Infrared and CCD Images (CCD와 적외선 열영상의 다중영상을 이용한 월성원자력발전소의 칼란드리아 전면부 점검)

  • Cho, Jai-Wan;Choi, Young-Soo;Kim, Chang-Hoi;Seo, Yong-Chil;Kim, Seung-Ho
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.711-714
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    • 2002
  • Thermal infrared camera have poor image qualities compared to commercial CCD cameras, as in contrast, brightness, and. resolution. To compensate the poor Image quality problems associated with the thermal infrared camera, the technique of superimposing thermal infrared image into real ccd image is proposed. The mobile robot KAEROT/m2, loaded with sensor head system at the mast, is entered to monitor leakage of heavy water and thermal abnormality of the calandria reactor area in overhaul period. The sensor head system is composed of thermal infrared camera and cod camera In parallel. When thermal abnormality on observation points and areas of calandria reactor area is occurred, unusual hot image taken from thermal infrared camera is superimposed on real CCD image. In this inspection experiment, more accurate positions of thermal abnormalities on calandria reactor area can be estimated by using technique of mapping thermal infrared image into CCD image, which include characters arranged in MPOQ order.

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