• Title/Summary/Keyword: 적외선 열화상

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Farm Damage Prevention System Using Thermal imaging Camera and Deep Learning (열화상 카메라와 딥러닝을 이용한 농가피해방지 시스템)

  • Shin, Seung-min;Lee, Sang-hoon;Choi, Hyo-sun;Kim, Seung-hoo;Lee, Cherl-hee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.306-309
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    • 2019
  • The damage to farms due to wild animals such as wild boars and elks increases every year, but, in the current system, the catchers from government hunt animals by using guns at night as making an effort to detect wild animals personally by using flashlights. This is very time-inefficient and immediate follow-up action on being damaged is not possible. In this paper, we introduce a system which can detect and recognize the wild animals or the people with high accuracy using thermal imaging camera and infrared camera in company with deep learning technology, so that could kick out or catch the wild animals more quickly than current system.

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Study on the Qualitative Defects Detection in Composites by Optical Infrared Thermography (적외선 열화상 기술을 이용한 복합재료의 결함 검출 정량화 연구)

  • Park, Hee-Sang;Choi, Man-Yong;Park, Jeong-Hak;Kim, Won-Tae;Choi, Won-Jong
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.2
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    • pp.150-156
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    • 2011
  • In this paper, infrared thermography measurement technique has been used to develop standard measurement technique for nondestructive testing of composite materials which is widely used in aerospace industries. To increase the defect detection rate, the related experiment used the lock-in IR-thermographiy method. Therefore it is of considerable interest in the field of non-destructive testing for fast discontinuity detection by using ultrasonic lock-in infrared thermography. The result also shows that as the investigation period of light source is lengthened according to the thickness of specimen, the possibility of detecting defects gets higher as well. However, the reason why the result values were not favorable when less than 50 mHz of light source was provided is because it was difficult to detect defects as the defect parts became a state of thermal equilibrium in general when thermal diffusivity affects the entire materials.

Corrosion Level Measurement Technique for RC Reinforcement Using Non-Destructive Test Methods (비파괴기법을 이용한 철근 콘크리트 벽체 철근의 부식률 예측기법)

  • Roh, Young-Sook
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.1
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    • pp.24-31
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    • 2011
  • In order to measure corrosion level of reinforcement rebar in RC structures, non-destructive test methods which are concrete surface current density method and infrared thermographic technique were employed to measure corrosion levels. Experimental test parameters were various levels of corrosion states(0, 1, 3, 5, 7% of weight loss) and concrete cover depth(30 mm, 40 mm) and two different reinforcing rebar arrangements. The larger amount of concrete surface current density, the higher corrosion level in reinforcement rebar. The laboratory conditions which are ambient temperature and humidity have negligible effect on the infrared thermographical data. After analysis of current density and temperature distribution from concrete surface, corrosion level of reinforcement rebar embedded in concrete can be measured qualitatively based on the amount of electric current and heat flux.

A Method of the Arc Detection using IR Camera (적외선 카메라를 이용한 아크 검출 기법)

  • Park, Geon-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.321-322
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    • 2016
  • 본 논문에서는 수배전반에서 부하 설비 또는 외부의 영향을 확인할 수 있는 장치 및 보호설비가 설치되어 있으나 자체 사고를 신속히 검출하고 판단할 수 있는 기술의 확보를 위하여 해상도가 낮은 저가의 열화상 센서에 고속 DSP(Digital Signal Process)를 사용하여 영상 처리 기법인 이차원 보간법 기술을 이용하여 아크플래시에 의해 발생되는 열 특성을 검출하고 검출된 데이터를 전송하여 전기화재사고를 미연에 방지할 수 있는 장치 개발을 위한 기초 특성 연구를 수행하였다.

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