• Title/Summary/Keyword: 레이저 비전 기술

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Localization and Mapping System using Single Camera and PSD Sensors (단일 카메라와 PSD 센서를 이용한 로봇 위치추적 및 맵핑 시스템)

  • Yoo, Sung-Goo;Chong, Kil-To
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.339-340
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    • 2008
  • 로봇의 현재 위지 추적은 무인 로봇 자동 항법시스템의 중요 기술로 센서 데이터로부터 로봇의 위치를 결정하고 환경맵을 구성하는 것이다. 기존 방법으로는 초음파, 레이저 등의 거리 측정 센서를 이용해 로봇의 전역 위치를 찾는 방법과 스테레오 비전을 통한 방법이 개발되었다. 거리 측정 센서만으로 로봇위치 추적 알고리즘은 계산량이 감소하고 비용이 적게 들지만 센서오차율 및 환경장애에 따른 오류가 크다. 이에 반해 스테레오 비전 시스템은 3차원 공간영역을 정확히 측정할 수 있지만 계산량이 많아 고사양의 시스템을 요구하고 알고리즘 구현에 어려움이 있다. 따라서 본 논문에서는 단일 카메라 영상과 PSD(position sensitive device) 센서를 사용하여 로봇의 현재 위치를 추적하고 환경맵을 구성하여 자율이동이 가능한 시스템을 제안한다.

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Computer Vision Based Efficient Control of Presentation Slides (컴퓨터비전에 기반한 효율적인 프리젠테이션 슬라이드 제어)

  • 박정우;석민수;이준호
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.4
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    • pp.232-239
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    • 2003
  • This paper discusses the design and implementation of a human-oriented interface based on computer vision that efficiently controls presentation slides. The user does not have to be confined to a keyboard or mouse any more, and can move around more freely because slides for presentation can be up and down using a general laser pointer that is used for presentation. Regions for virtual buttons are set on the slide so that the user can conveniently point the buttons using the laser pointer. We have proposed a simple and efficient method that computes the button areas in the image without complicated calibration. The proposed method has been implemented based on Microsoft PowerPoint ; moreover it can be applied to other PowerPoint-like presentation softwares. Our method for human-centered slide control enables the user to give audiences a more interactive presentation in a natural way.

High speed seam tracking using multi-line laser vision sensor (멀티 라인 레이저 비전 센서를 이용한 고속 용접선 추적 기술)

  • 성기은;이세헌
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.584-587
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    • 2002
  • A vision sensor measure range data using laser light source. This sensor generally use patterned laser which shaped single line. But this vision sensor cannot satisfy new trend which needs laster and more precise processing. The sensor's sampling rate increases as reduced image processing time. However, the sampling rate can not over 30fps, because a camera has mechanical sampling limit. If we use multi line laser pattern, we will measure multi range data in one image. In the case of using same sampling rate camera, number of 2D range data profile in one second is directly proportional to laser line's number. For example, the vision sensor using 5 laser lines can sample 150 profiles per second in best condition.

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The Weldability Estimation for the Purpose of Real-Time Inspection and Control (실시간 검사 및 제어를 목적으로 한 용접성 평가)

  • Lee, Jeong-Ick
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.3
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    • pp.605-610
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    • 2008
  • Through welding fabrication, user can feel unsatisfaction of surface quality because of welded defects, Generally speaking, these are called weld defects. For checking these defects effectively without time loss effectively, weldability estimation system setup is an urgent thing for detecting whole specimen quality. In this study, by laser vision camera, catching a rawdata on welded specimen profiles, treating vision processing with these data, qualitative defects are estimated from getting these information at first. At the same time, for detecting quantitative defects, whole specimen weldability estimation is pursued by multifeature pattern recognition, which is a kind of fuzzy pattern recognition. For user friendly, by weldability estimation results are shown each profiles, final reports and visual graphics method, user can easily determined weldability. By applying these system to welding fabrication, these technologies are contribution to on-line weldability estimation.

Photodynamic Inactivation of Staphylococcus Aureus Based on Dose of Laser Transmission (레이저 투과 선량에 따른 황색포도상구균의 광역학적 비활성화)

  • Koo, Bon-Yeoul;Kim, Ji-Won
    • Journal of radiological science and technology
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    • v.45 no.2
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    • pp.165-170
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    • 2022
  • Staphylococcus aureus is a major pathogen that causes clinical infections in humans and can also cause massively colonized in lesion skin, particularly in atopic dermatitis patients. This study investigated the effects of photodynamic inactivation with radachlorin and diode laser irradiation on the viability of S. aureus in vitro and assessed the effects of the dose of laser transmission. In the PDI group, 5 𝜇L of S. aureus suspension and 5 𝜇L of radachlorin were inoculated in a 55 mm petri dish (63.6 cm2). The samples were placed in a 37° incubator for 30 min and then irradiated with light (660 nm diode laser). After laser irradiation, the cells were stored for 24 h at 37° in an incubator with 5% CO2, and the number of colonies was counted. All CFU/mL of S. aureus were reduced by diode laser in the presence of radachlorin, with a killing rate of 87.9% at an energy dose of 9 J/cm2. This study contribute to treat colonized with S. aureus in atopic dermatitis patients and wound infections by providing information on the optimal dose of laser transmission using PDI to eliminate S. aureus.

Non-contact mobile inspection system for tunnels: a review (터널의 비접촉 이동식 상태점검 장비: 리뷰)

  • Chulhee Lee;Donggyou Kim
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.3
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    • pp.245-259
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    • 2023
  • The purpose of this paper is to examine the most recent tunnel scanning systems to obtain insights for the development of non-contact mobile inspection system. Tunnel scanning systems are mostly being developed by adapting two main technologies, namely laser scanning and image scanning systems. Laser scanning system has the advantage of accurately recreating the geometric characteristics of tunnel linings from point cloud. On the other hand, image scanning system employs computer vision to effortlessly identify damage, such as fine cracks and leaks on the tunnel lining surface. The analysis suggests that image scanning system is more suitable for detecting damage on tunnel linings. A camera-based tunnel scanning system under development should include components such as lighting, data storage, power supply, and image-capturing controller synchronized with vehicle speed.

Measurement System for Phosphor Dispensing Shape of LED Chip Package Using Machine Vision (머신비전에 의한 LED Chip Package 형광물질 토출형상 측정)

  • Ha, Seok-Jae;Kim, Jong-Su;Cho, Myeong-Woo;Choi, Jong-Myung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2113-2120
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    • 2013
  • In this study, an efficient machine vision based inspection system is developed for the in-line measurement of phosphor resin dispensing shapes on LED chip package. Since the phosphor resin (target material) has semitransparent characteristics, illuminated light beam is reflected from the bottom of the chip as well as from the surface. Since such phenomenon can deteriorate inspection reliability, a white LED and a 635nm laser slit beams are experimentally tested to decide suitable illumination optics. Also, specular and diffuse reflection methods are tested to decide suitable optical triangulation. As a result, it can be known that the combination of a white slit beam source and specular reflection method show the best inspection results. The Catmull-Rom spline interpolation is applied to the obtained data to form smoother surface. From the results, it can be conclude that the developed system can be sucessfully applied to the in-line inspection of LED chip packaging process.

The Development of Automatic Inspection System of Differential Driver Gear through Research Convergence of Industrial and Academia (산학 융합 연구를 통한 차동 기어 자동 검사 시스템의 개발)

  • Lee, Jeong-Ick
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.257-263
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    • 2018
  • The purpose of this study is to develop an automatic inspection system for a part of the differential drive gear into the transmission. This technology will make using the microvision automatic test equipment and automatic test equipment microlaser. This is that the operator intends to make the defect rate 0 in the inspection stage of the product which has been carelessly processed. The equipment developed in this research project will be applied to many areas. Packaging companies, nut bolt processing company, precisely supplier for printing on top of the semiconductor, SMT, etc. The company wants to sell the vision inspection equipment for various applications. If the defective rate of 0 is achieved through this research project, it is also possible to secure a stable supply from the parent company, and to lay the foundations for exporting based on product reliability. When the automatic inspection system is applied to domestic automobile parts processing companies, the reliability of automobiles in Korea will be greatly increased.

Usage of Multiple Regression Analysis in Prediction System of Process Parameters for Arc Robot Welding (아크로봇 용접 공정변수 예측시스템에 다중회귀 분석법의 사용)

  • Lee, Jeong-Ick
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.4
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    • pp.871-877
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    • 2008
  • It is important to investigate the relationship between weld process parameters and weld bead geometry for adaptive arc robot welding. Howeve, it is difficult to predict an exact back-bead owing to gap in process of butt welding. In this paper, the quantitative prediction system to specify the relationship external weld conditions and weld bead geometry was developed to get suitable back-bead in butt welding which is widely applied on industrial field. Multiple regression analysis for the prediction of process parameters was used as the research method. And, the results of the prediction method were compared and analyzed.

Implementation of the SLAM System Using a Single Vision and Distance Sensors (단일 영상과 거리센서를 이용한 SLAM시스템 구현)

  • Yoo, Sung-Goo;Chong, Kil-To
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.149-156
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    • 2008
  • SLAM(Simultaneous Localization and Mapping) system is to find a global position and build a map with sensing data when an unmanned-robot navigates an unknown environment. Two kinds of system were developed. One is used distance measurement sensors such as an ultra sonic and a laser sensor. The other is used stereo vision system. The distance measurement SLAM with sensors has low computing time and low cost, but precision of system can be somewhat worse by measurement error or non-linearity of the sensor In contrast, stereo vision system can accurately measure the 3D space area, but it needs high-end system for complex calculation and it is an expensive tool. In this paper, we implement the SLAM system using a single camera image and a PSD sensors. It detects obstacles from the front PSD sensor and then perceive size and feature of the obstacles by image processing. The probability SLAM was implemented using the data of sensor and image and we verify the performance of the system by real experiment.