• Title/Summary/Keyword: Infrared Thermal Imaging Camera

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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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Development and Possibility Evaluation of Thermal Imaging Camera for Medical Monitoring of Body Temperature (열화상카메라 개발을 통한 의료용 체열진단 가능성 평가)

  • Ryu, Seong Mi;Kim, Hye-Jeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.1
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    • pp.57-62
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    • 2015
  • Recently, thermography camera have been using for body-temperature monitoring. We report on fabrication of prototype thermography camera using the chalcogenide-glass lens and the camera test by analysis of thermal image. In this work, it was found out that thermography camera discerned body-temperature between 20 and $50^{\circ}C$ with noise equivalent temperature difference(NETD) of 87.7mK. It is confirmed that thermography camera using the chalcogenide-glass lens is applicable to the body-temperature monitoring system.

Opto - Mechanical Design of IGRINS Slit-viewing Camera Barrel

  • Oh, Hee-Young;Yuk, In-Soo;Park, Chan;Lee, Han-Shin;Lee, Sung-Ho;Chun, Moo-Young;Jaffe, Daniel T.
    • Bulletin of the Korean Space Science Society
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    • 2011.04a
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    • pp.31.2-31.2
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    • 2011
  • IGRINS (Immersion GRating INfrared Spectrometer) is a high resolution wide-band infrared spectrograph developed by Korea Astronomy and Space Science Institute (KASI) and the University of Texas at Austin (UT). The slit-viewing camera is one of four re-imaging optics in IGRINS including the input relay optics and the H- and K- band spectrograph cameras. Consisting of five lenses and one Ks-band filter, the slit viewing camera relays the infrared image of $2'{\times}2'$ field around the slit to the detector focal plane. Since IGRINS is a cryogenic instrument, the lens barrel is designed to be optimized at the operating temperature of 130 K. The barrel design also aims to achieve easy alignment and assembly. We use radial springs and axial springs to support lenses and lens spacers against the gravity and thermal contraction. Total weight of the lens barrel is estimated to be 1.2 kg. Results from structural analysis are presented.

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Soundness Evaluation of 120W LED Lighting using Passive Infrared Thermal Imaging Method (수동적 적외선 열화상 기법을 적용한 120W급 LED조명등 건전성 평가)

  • Jung, Yoon-Soo;Gao, Jia-Chen;Kim, Jae-Yeol
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.4
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    • pp.140-146
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    • 2017
  • As energy conservation and environmental issues are emerging as a hot topic around the world, consumers are demanding high-efficiency, eco-friendly products. In this study, the author proposed 120W LED lighting system that replace metal halide lamp (MHL) which is currently used in the industry. Furthermore, it would be possible to provide a perfect opportunity for Korea to rise as a global leader in the LED lighting industry through soundness evaluation of the LED lighting system that is applied.

A Study on Measuring the Temperature and Revising the Result When Measuring the Temperature of NPP Pipes Using Infrared Thermography (적외선 열화상 기술을 이용한 원자력 배관의 온도측정과 보정에 관한 연구)

  • Kim, Kyeong-Suk;Jung, Hyun-Chul;Pack, Chan-Joo;Kim, Dong-Soo;Jung, Duk-Woon;Chang, Ho-Sub
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.5
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    • pp.421-426
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    • 2009
  • The emissivity is different because the emitted angle changes according to the position of the infrared thermography camera and object. Because of this, the temperature distribution expressed when measuring the temperature by using the infrared thermography system is not the accuracy temperature. Although the real surface temperature is constant, the temperature measured by using infrared thermography camera have error in accordance with the value of emissivity. In this paper, the temperatures of the round cylindrical object and the flat square object that heated to the equal temperature were measured by infrared thermography camera. The emissivity calibration formula and correction table are made with the affect of the view angle and emission angle form the surface temperature value. The error of measured temperature values are corrected by using the emissivity calibration formula and correction table, and apply to defect detection of the nuclear power plant pipe. From the calibration method, reliability surface temperature values were obtained.

Fast Defect Detection of PCB using Ultrasound Thermography (초음파 서모그라피를 이용한 빠른 PCB 결함 검출)

  • Cho Jai-Wan;Seo Yong-Chil;Jung Seung-Ho;Kim Seungho;Jung Hyun-Kyu
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.2
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    • pp.68-71
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    • 2006
  • Active thermography has been used for several years in the field of remote non-destructive testing. It provides thermal images for remote detection and imaging of damages. Also, it is based on propagation and reflection of thermal waves which are launched from the surface into the inspected component by absorption of modulated radiation. For energy deposition, it use external heat sources (e.g., halogen lamp or convective heating) or internal heat generation (e.g., microwaves, eddy current, or elastic wave). Among the external heat sources, the ultrasound is generally used for energy deposition because of defect selective heating up. The heat source generating a thermal wave is provided by the defect itself due to the attenuation of amplitude modulated ultrasound. A defect causes locally enhanced losses and consequently selective heating up. Therefore amplitude modulation of the injected ultrasonic wave turns a defect into a thermal wave transmitter whose signal is detected at the surface by thermal infrared camera. This way ultrasound thermography(UT) allows for selective defect detection which enhances the probability of defect detection in the presence of complicated intact structures. In this paper the applicability of UT for fast defect detection is described. Examples are presented showing the detection of defects in PCB material. Measurements are performed on various kinds of typical defects in PCB materials (both Cu metal and non-metal epoxy). The obtained thermal image reveals area of defect in row of thick epoxy material and PCB.

Design and Analysis of Coaxial Optical System for Improvement of Image Fusion of Visible and Far-infrared Dual Cameras (가시광선과 원적외선 듀얼카메라의 영상 정합도 향상을 위한 동축광학계 설계 및 분석)

  • Kyu Lee Kang;Young Il Kim;Byeong Soo Son;Jin Yeong Park
    • Korean Journal of Optics and Photonics
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    • v.34 no.3
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    • pp.106-116
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    • 2023
  • In this paper, we designed a coaxial dual camera incorporating two optical systems-one for the visible rays and the other for far-infrared ones-with the aim of capturing images in both wavelength ranges. The far-infrared system, which uses an uncooled detector, has a sensor array of 640×480 pixels. The visible ray system has 1,945×1,097 pixels. The coaxial dual optical system was designed using a hot mirror beam splitter to minimize heat transfer caused by infrared rays in the visible ray optical system. The optimization process revealed that the final version of the dual camera system reached more than 90% of the fusion performance between two separate images from dual systems. Multiple rigorous testing processes confirmed that the coaxial dual camera we designed demonstrates meaningful design efficiency and improved image conformity degree compared to existing dual cameras.

Infrared Thermal Imaging for Quantification of HIFU-induced Tissue Coagulation (적외선 이미징 기반 HIFU 응용 조직 응고 정량화 연구)

  • Pyo, Hanjae;Park, Suhyun;Kang, Hyun Wook
    • Korean Journal of Optics and Photonics
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    • v.28 no.5
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    • pp.236-240
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    • 2017
  • In this paper, we investigate the thermal response of skin tissue to high-intensity focused ultrasound (HIFU) by means of infrared (IR) thermal imaging. For skin tightening, a 7-MHz ultrasound transducer is used to induce irreversible tissue coagulation in porcine skin. An IR camera is employed to monitor spatiotemporal changes of the temperature in the tissue. The maximum temperature in the tissue increased linearly with applied energy, up to $90^{\circ}C$. The extent of irreversible tissue coagulation (up to 3.2 mm in width) corresponds well to the spatial distribution of the temperature during HIFU sonication. Histological analysis confirms that the temperature beyond the coagulation threshold (${\sim}65^{\circ}C$) delineates the margin of collagen denaturation in the tissue. IR thermal imaging can be a feasible method for quantifying the degree of thermal coagulation in HIFU-induced skin treatment.

Preliminary growth chamber experiments using thermal infrared image to detect crop disease (적외선 촬영 영상 기반의 작물 병해 모니터링 가능성 타진을 위한 실내 감염 실험)

  • Jeong, Hoejeong;Jeong, Rae-Dong;Ryu, Jae-Hyun;Oh, Dohyeok;Choi, Seonwoong;Cho, Jaeil
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.2
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    • pp.111-116
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    • 2019
  • The biotic stress of garlic and tobacco infected by bacteria and virus was evaluated using a thermal imaging camera in a growth chamber. The remote sensing technique using the thermal camera detected that garlic leaf temperature increased when the leaves were infected by bacterial soft rot of garlic. Furthermore, the temperature of leaf was relatively high for the leaves where the colony-forming unit per mL was large. Such temperature patterns were detected for tobacco leaves infected by Cucumber Mosaic Virus using thermal images. In addition, the crop water stress index (CWSI) calculated from leaf temperature also increased for the leaves infected by the virus. The event such that CWSI increased by the infection of the virus occurred before visual disease symptom appeared. Our results suggest that the thermal imaging camera would be useful for the development of crop remote sensing technique, which can be applied to a smart farm.

Design of Face with Mask Detection System in Thermal Images Using Deep Learning (딥러닝을 이용한 열영상 기반 마스크 검출 시스템 설계)

  • Yong Joong Kim;Byung Sang Choi;Ki Seop Lee;Kyung Kwon Jung
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.21-26
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    • 2022
  • Wearing face masks is an effective measure to prevent COVID-19 infection. Infrared thermal image based temperature measurement and identity recognition system has been widely used in many large enterprises and universities in China, so it is totally necessary to research the face mask detection of thermal infrared imaging. Recently introduced MTCNN (Multi-task Cascaded Convolutional Networks)presents a conceptually simple, flexible, general framework for instance segmentation of objects. In this paper, we propose an algorithm for efficiently searching objects of images, while creating a segmentation of heat generation part for an instance which is a heating element in a heat sensed image acquired from a thermal infrared camera. This method called a mask MTCNN is an algorithm that extends MTCNN by adding a branch for predicting an object mask in parallel with an existing branch for recognition of a bounding box. It is easy to generalize the R-CNN to other tasks. In this paper, we proposed an infrared image detection algorithm based on R-CNN and detect heating elements which can not be distinguished by RGB images.