• Title/Summary/Keyword: 적외선 영상 시스템

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Apparatus and method for analysing spectral response of a CCD optical sensor using an infrared imaging technique (적외선 영상기법에 의한 CCD 센서의 스펙트럼 응답 특성 분석 기법)

  • Kang Seong-Jun;Na Cheol-Hun;Park Soon-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.3 s.309
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    • pp.25-30
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    • 2006
  • An infrared imaging method is proposed in which direct measurement of the spectral response of CCD sensors can be achieved through digital image processing. This method allows for a simple and economic method to detect the spectral sensitivity of commercialized CCD sensors. The key components of the apparatus are a monochromator, CCD-sample supporter and a personal computer equipped with a digital image processing systems. Tentative experimentation conducted on the commercialized CCD camera has resulted in a fairly consistent agreement with the theoretical model.

Real-Time Automatic Tracking of Facial Feature (얼굴 특징 실시간 자동 추적)

  • 박호식;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.6
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    • pp.1182-1187
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    • 2004
  • Robust, real-time, fully automatic tracking of facial features is required for many computer vision and graphics applications. In this paper, we describe a fully automatic system that tracks eyes and eyebrows in real time. The pupils are tracked using the red eye effect by an infrared sensitive camera equipped with infrared LEDs. Templates are used to parameterize the facial features. For each new frame, the pupil coordinates are used to extract cropped images of eyes and eyebrows. The template parameters are recovered by PCA analysis on these extracted images using a PCA basis, which was constructed during the training phase with some example images. The system runs at 30 fps and requires no manual initialization or calibration. The system is shown to work well on sequences with considerable head motions and occlusions.

A Implementation of Iris recognition system using scale-space filtering (Scale-space filtering을 이용한 홍채인식 보안시스템 구현)

  • Joo, Sang-Hyun;Kang, Tae-Gil;Yang, Woo-Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.175-181
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    • 2009
  • In this paper, we introduce the implementation of the security system using iris recognition. This system acquires images with infrared camera and extracts the 2D code from a infrared image which uses scale-space filtering and concavity. We examine the system by (i) extract 2D code and (ii) compare the code that stored on the server (iii) mearsure FAR and FRR using pattern matching. Experiment results show that the proposed method is very suitable.

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MIRIS 지구관측 적외선카메라 인증모델 성능 시험 및 Field Test

  • Mun, Bong-Gon;Park, Yeong-Sik;Lee, Chang-Hui;Park, Seong-Jun;Cha, Sang-Mok;Lee, Dae-Hui;Jeong, Ung-Seop;Nam, Uk-Won;Park, Jang-Hyeon;Yuk, In-Su;Ga, Neung-Hyeon;Lee, Mi-Hyeon;Lee, Deok-Haeng;Yang, Sun-Cheol;Kim, Yeong-Ju;Lee, Gi-Hun;Jeong, Han;Lee, Seung-U;Han, Won-Yong
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.45.1-45.1
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    • 2009
  • 과학기술위성 3호의 주탑재체인 MIRIS (Multi-purpose InfraRed Imaging System)는 우주관측카메라 (Space Observation Camera, SOC)와 지구관측카메라 (Earth Observation Camera, EOC)가 독립적인 시스템으로 구성되어 있다. 지구관측카메라는 유효 구경 100 mm, F/5의 광학계로 3-5 마이크론 파장영역을 관측하며, 국내에서 개발된 적외선 검출기의 우주 인증 시험과 유사시 한반도 적외선 감시를 주요 목적으로 하고 있다. 고도 700km에서 지상을 볼 때 약 42m/pixel의 공간분해능을 나타낼 것으로 기대하고 있다. 지구관측카메라의 인증 모델(Qualification Model)은 냉동기를 제외한 모든 부품이 국내기술로 제작되었으며, 미러 본딩 및 릴레이 렌즈 조립 기술, 적외선 영상 검교정 기술 등 다양한 경험과 도전을 제공했다. 이 발표에서는 지구관측카메라 인증모델을 이용하여 수행한 주요 시험 과정을 소개한다. 국내 회사 (주)i3 system에서 제작된 적외선 검출기는 $320\times256$ HgCdTe array (평균 양자효율 80% 이상) 이며 77K에서 정상적으로 운영된다. Micro Stirling Cooler에 의해 듀어는 전원을 켠 후 5분 이내에 검출기 운영온도인 77K까지 내려간다. 적외선 광학계의 정렬, 시스템 MTF 측정, 흑체 측정 및 검교정 작업을 수행한 후 야외에서 다양한 경우에 대해 Field Test를 진행했다. 이 발표에서는 Field Test 과정과 이를 통해 얻은 결과를 발표하고, FM (Flight Model) 제작에 있어 수정해야 할 사항들을 제안해 본다.

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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
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    • 2019.10a
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    • pp.5-7
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    • 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.

Development of the Ultra Precision Machining of IR Material for Space Observation Optical System (우주관측용 광학계의 적외선 초자 초정밀 가공 기술개발)

  • Yang, Sun-Choel;Won, Jong-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.12
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    • pp.9-14
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    • 2010
  • Using an IR (infrared) optical system of observation and research were performed long before. Nowadays satellites equipped with IR optical system observe the earth and universe. In this paper, we developed the IR optical system for main payload of the STSAT-3 (Science and Technology Satellite -3). We studied the ultra precision machining technique to fabricate FPL-53 lenses which is the IR optical material for space observation camera of the STSAT-3. DOE (Design of Experiment) was used to find best machining characteristic for FPL-53. Finally we fabricated FPL-53 aspheric lens with the form accuracy of P-V $0.36\;{\mu}m$.

Freeway Bus-Only Lane Enforcement System Using Infrared Image Processing Technique (적외선 영상검지 기술을 활용한 고속도로 버스전용차로 단속시스템 개발)

  • Jang, Jinhwan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.67-77
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    • 2022
  • An automatic freeway bus-only lane enforcement system was developed and assessed in a real-world environment. Observation of a bus-only lane on the Youngdong freeway, South Korea, revealed that approximately 99% of the vehicles violated the high-occupancy vehicle (HOV) lane regulation. However, the current enforcement by the police not only exhibits a low enforcement rate, but also induces unnecessary safety and delay concerns. Since vehicles with six passengers or higher are permitted to enter freeway bus-only lanes, identifying the number of passengers in a vehicle is a core technology required for a freeway bus-only lane enforcement system. To that end, infrared cameras and the You Only Look Once (YOLOv5) deep learning algorithm were utilized. For assessment of the performance of the developed system, two environments, including a controlled test-bed and a real-world freeway, were used. As a result, the performances under the test-bed and the real-world environments exhibited 7% and 8% errors, respectively, indicating satisfactory outcomes. The developed system would contribute to an efficient freeway bus-only lane operations as well as eliminate safety and delay concerns caused by the current manual enforcement procedures.

Numerical Investigation of Temperature Uniformity and Estimation Accuracy for MEMS-based Black Body System (MEMS 기반 흑체 시스템의 온도 균일도 및 추정 정확도의 수치 해석적 검토)

  • Chae, Bong-Geon;Kim, Tae-Gyu;Lee, Jong-Kwang;Kang, Suk-joo;Oh, Hyun-Ung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.5
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    • pp.455-462
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    • 2016
  • Output Characteristics of the spaceborn image sensor such as infrared(IR) sensor are varied according to time elapses and sensor repetition on/off operation. As a result, the quality of IR sensor image is decreased. Therefore, spaceborne image sensor require a periodic calibration using a black body system by correcting a non-uniformity of the sensor. In this paper, we proposed a MEMS-based black body system that can implement the high temperature uniformity at various standard temperatures ranging from low to high temperature and easily estimate the representative surface temperature. In addition, it has advantages lightweight, low-power and high accuracy. The feasibility of the proposed MEMS-based black body system was verified through the thermal analysis.

Real-Time Object Detection System Based on Background Modeling in Infrared Images (적외선영상에서 배경모델링 기반의 실시간 객체 탐지 시스템)

  • Park, Chang-Han;Lee, Jae-Ik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.4
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    • pp.102-110
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    • 2009
  • In this paper, we propose an object detection method for real-time in infrared (IR) images and PowerPC (PPC) and H/W design based on field programmable gate array (FPGA). An open H/W architecture has the advantages, such as easy transplantation of HW and S/W, support of compatibility and scalability for specification of current and previous versions, common module design using standardized design, and convenience of management and maintenance. Proposed background modeling for an open H/W architecture design decreases size of search area to construct a sparse block template of search area in IR images. We also apply to compensate for motion compensation when image moves in previous and current frames of IR sensor. Separation method of background and objects apply to adaptive values through time analysis of pixel intensity. Method of clutter reduction to appear near separated objects applies to median filter. Methods of background modeling, object detection, median filter, labeling, merge in the design embedded system execute in PFC processor. Based on experimental results, proposed method showed real-time object detection through global motion compensation and background modeling in the proposed embedded system.

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.