• Title/Summary/Keyword: Thermal Image processing

Search Result 138, Processing Time 0.034 seconds

A Study on Synthetic Failure-finding Method for Electrical and Thermal Degradation of Polymer Insulator by Surface Discharge

  • Lee, Kang-Won;Jang, Dong-Uk;Park, Cheol-Hyun
    • Transactions on Electrical and Electronic Materials
    • /
    • v.8 no.3
    • /
    • pp.143-146
    • /
    • 2007
  • Polymer insulators are used widely in variable fields for high voltage insulation and separating people from high voltage charging parts for safety and also supporting overhead power line in electric railway. But it may be broken down by tracking path resulting from continuous surface discharge. This paper has investigated synthetically both the characteristics of electrical aging using precision CT(current transformer) and the thermal aging using thermography method. Electrical aging was analyzed for time-frequency region and thermal aging was illustrated by image processing method. This synthetic method may be an appropriate one to evaluate the surface degradation of polymer insulator.

Defect detection of vacuum insulation panel using image analysis based on corner feature detection (코너 특정점 기반의 영상분석을 활용한 진공단열재 결함 검출)

  • Kim, Beom-Soo;Yang, Jeonghyeon;Kim, Yeonwon
    • Journal of the Korean institute of surface engineering
    • /
    • v.55 no.6
    • /
    • pp.398-402
    • /
    • 2022
  • Vacuum Insulation Panel (VIP) is an high energy efficient insulation system that facilitate slim but high insulation performance, based on based on a porous core material evacuated and encapsulated in a multi-barrier envelope. Although VIP has been on the market for decades now, it wasn't until recently that efforts have been initiated to propose a standard on aging testing. One of the issues regarding VIP is its durability and aging due to pressure and moisture dependent increase of the initial low thermal conductivity with time. It is hard to visually determine at an early stage. Recently, a method of analyzing the damage on the a material surface by applying image processing technology has been widely used. These techniques provide fast and accurate data with a non-destructive way. In this study, the surface VIP images were analyzed using the Harris corner detection algorithm. As a result, 171,333 corner points in the normal packaging were detected, whereas 32,895 of the defective packaging, which were less than the normal packaging. were detected. These results are considered to provide meaningful information for the determination of VIP condition.

Design of a PIV objective maximizing the image signal-to-noise ratio

  • Chetelat Olivier;Kim Kyung Chun
    • 한국가시화정보학회:학술대회논문집
    • /
    • 2001.12a
    • /
    • pp.123-137
    • /
    • 2001
  • PIV (particle image velocimetry) systems use a camera to take snapshots of particles carried by a fluid at some precise instants. Signal processing methods are then used to compute the flow velocity field. In this paper, the design of the camera objective (optics) is addressed. The optimization is done in order to maximize the signal-to-noise ratio of in-focus particles. Four different kinds of noise are considered: photon shot noise, thermal and read noise, background glow shot noise, and noise made by the other particles. A semi-empirical model for the lens aberrations of a two-doublet objective is first addressed, since further, it is shown that lens aberrations (low f-value $f_{\#}$) should be used instead of the Fraunhofer diffraction (high f-value) for the fitting of the particle image size with the pixel size. Other important conclusions of the paper include the expression of optimum values for the magnification M, for the exposure period $\tau$ and for the pixel size $\xi$.

  • PDF

Design Thermal Image Processing Module based Common Image Processor (상용 이미지 프로세서 기반 열화상 이미지 처리 모듈 설계)

  • Han, Joon-Hwan;Cha, Jeong-Woo;Kim, Bo-Mee;Lim, Jae-Sung
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2019.10a
    • /
    • pp.8-10
    • /
    • 2019
  • 열화상 장비는 빛이 없는 암흑 상태에서도 물체에서 발산하는 적외선을 탐지하여 이를 영상으로 제공하는 장비이다. 이러한 장점으로 기존 활용되던 군사 분야와 더불어 자동차 및 감시시스템 등 다양한 민수 분야로 활용분야가 넓어지고 있다. 따라서 기존 방식인 FPGA 기반 열화상 이미지 모듈은 민수 시장의 다양한 요구사항과 환경을 반영하기에는 힘들 실정이다. 그에 따라 FPGA 기반 시스템의 단점을 보완하고 추가적인 요구사항을 만족하는 시스템의 필요성이 대두되었다. 본 논문에서는 상용 이미지 프로세서 기반 열화상 이미지 처리 모듈을 제안한다. 기존 FPGA 기반 열화상 이미지 처리 방식이 아닌 상용 이미지 프로세서 기반 구조 설계로 함으로써 다양한 영상 입·출력 인터페이스 수신 및 표준 영상 출력 포멧을 지원한다. 따라서 상용 프로세서 기반 열상 처리 모듈을 통한 시스템 개발 시 뛰어난 접근성으로 시스템 구축이 용이하고 다양한 요구사항 적용이 가능함에 따라 개발 기간 및 비용 단축, 다양한 응용에 사용이 가능할 것으로 예상한다.

Design Thermal Image Processing System using Common Image Processor (상용 이미지 프로세서를 이용한 열화상 영상 처리 시스템 설계)

  • Cha, Jeong-Woo;Han, Joon-Hwan;Park, Chan;Kim, Yong-Jin
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2019.10a
    • /
    • pp.5-7
    • /
    • 2019
  • 열화상 시스템은 물체로부터 발산되는 적외선을 영상화하여 물체를 탐지하는 장점으로 인해 군사 분야는 물론 현재 민수 분야(자동차, Security 시스템)에 활용분야가 넓어지고 있다. 기존에는 대부분 FPGA 기반으로 열화상 열상 모듈을 개발하였지만 민수 분야에 다양한 요구사항 및 범용성에 유연한 대처가 힘든 실정이다. 따라서 다양한 요구사항과 범용성을 만족하기 위한 시스템의 필요성이 대두되었다. 본 논문에서는 상용 이미지 프로세서를 이용한 열화상 영상 처리 시스템을 제안한다. 제안된 시스템은 기존 FPGA 기반 시스템이 아닌 상용 이미지 프로세서를 사용함으로써 범용 영상 입·출력 인터페이스 및 각종 디바이스를 지원함에 따라 다양한 요구사항과 범용성을 만족한다. 따라서 시스템이 구축이 되면 뛰어난 접근성으로 인하여 시스템 추가/변경 시 기존의 시스템에 비해 개발 비용 및 기간을 단축할 수 있으며 그로 인하여 다양한 고객 요구사항 만족, 개발 비용 및 시간 단축, 제품 출시일 등 다양한 이점을 얻을 것으로 예상한다.

Flame Diagnosis using Image Processing Technique

  • Kim, Song-Hwan;Lee, Tae-Young;Kim, Myun-Hee;Bae, Joon-Young;Lee, Sang-Ryong
    • International Journal of Precision Engineering and Manufacturing
    • /
    • v.3 no.2
    • /
    • pp.45-51
    • /
    • 2002
  • Recently the interest for the environment is increasing. So the criterion for the evaluation of the burner has changed. For efficient driving problem, if the thermal efficiency is higher and the oxygen in exhaust gas is lower, then burner is evaluated better. For environmental problem. burner must satisfy NOx limit, soot limit and CO limit. Generally the experienced operator judge of the combustion status of the burner by the color of flame. we don't still have any satisfactory solution against it. the relation of the combustion status and the color of the flame hasn't still been established. This paper is the study about the relation of the combustion status and the color of the flame. This paper describes development of real time flame diagnosis technique that evaluate and diagnose combustion state such as consistency of components in exhaust gas, stability of flame in quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using image processing algorithm, the parameter extracted from the image of the flame was used as the input variables of the flame diagnostic system. at first, linear regression algorithm and multiple regression algorithm was used to obtain linear multi-nominal expression. Using the constructed inference algorithm, the amount of NOx and CO of the combustion gas was successfully inferred. the combustion control system will be realized sooner or later.

A Calibration Method for Multimodal dual Camera Environment (멀티모달 다중 카메라의 영상 보정방법)

  • Lim, Su-Chang;Kim, Do-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.19 no.9
    • /
    • pp.2138-2144
    • /
    • 2015
  • Multimodal dual camera system has a stereo-like configuration equipped with an infrared thermal and optical camera. This paper presents stereo calibration methods on multimodal dual camera system using a target board that can be recognized by both thermal and optical camera. While a typical stereo calibration method usually performed with extracted intrinsic and extrinsic camera parameter, consecutive image processing steps were applied in this paper as follows. Firstly, the corner points were detected from the two images, and then the pixel error rate, the size difference, the rotation degree between the two images were calculated by using the pixel coordinates of detected corner points. Secondly, calibration was performed with the calculated values via affine transform. Lastly, result image was reconstructed with mapping regions on calibrated image.

Image Processing Technology for Analyzing the Heating State of Carbon Fiber Surface Heating Element (탄소섬유 면상발열체의 발열 상태 분석을 위한 영상처리 기술)

  • Cho, Joon-Ho;Hwang, Hyung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.2
    • /
    • pp.683-688
    • /
    • 2018
  • In this study, we analyzed the heat generation state of a flat heating element by using image processing technology in conjunction with carbon fiber. The flat heating element is manufactured by chopping the carbon fiber to a small size and bonding it again using a dispersing agent. The solution of carbon fiber, bound together using the dispersant, is then filtered onto the nonwoven fabric. The last step is to obtain flat carbon fibers in the form of nonwoven fabrics for the purpose of drying the filtered carbon fibers. In the flat heating element, electricity may be applied to the carbon fiber on the surface produced in this manner. In this study, the flat heating element was analyzed by four methods. The analysis of the heat generation characteristics and heating rate of the flat heating element confirmed that the fabricated sheet heating element corresponds to a normal army. The analysis of the insulation coating and flat heating element module, which can be used for actual product manufacturing, involves two dimensional image analysis using image processing technology. The thermal image analysis of the flat heating element is a programming technique that not only analyzes the heat generation state in both two and three dimensions, but also displays the upper and lower 15 to 20% ranges of temperature corresponding to the heat generation in the image. In the final analysis, it is possible to easily find the erroneous part in the manufacturing process by directly showing the state of the fabricated flat heating element on the screen. By combining this image analysis method of the flat heating element with the existing method, we were able to more accurately analyze the heat generation state.

Analysis on Optimal Threshold Value for Infrared Video Flame Detection (적외선 영상의 화염 검출을 위한 최적 문턱치 분석)

  • Jeong, Soo-Young;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
    • /
    • v.8 no.4
    • /
    • pp.100-104
    • /
    • 2013
  • In this paper, we present an optimal threshold setting method for flame detection of infrared thermal image. Conventional infrared flame detection methods used fixed intensity threshold to segment candidate flame regions and further processing is performed to decide correct flame detection. So flame region segmentation step using the threshold is important processing for fire detection algorithm. The threshold should be change in input image depends on camera types and operation conditions. We have analyzed the conventional thresholds composed of fixed-intensity, average, standard deviation, maximum value. Finally, we extracted that the optimal threshold value is more than summation of average and standard deviation, and less than maximum value. it will be enhance flame detection rate than conventional fixed-threshold method.

Future Trends of AI-Based Smart Systems and Services: Challenges, Opportunities, and Solutions

  • Lee, Daewon;Park, Jong Hyuk
    • Journal of Information Processing Systems
    • /
    • v.15 no.4
    • /
    • pp.717-723
    • /
    • 2019
  • Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.