• 제목/요약/키워드: Machine vision system

검색결과 567건 처리시간 0.037초

육묘용 로봇 이식기의 개발(I) - 기계시각 시스템 - (Development of a Robotic Transplanter for Bedding Plants(I) - Machine Vision System -)

  • 류관희;김기영;이희환;황호준
    • Journal of Biosystems Engineering
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    • 제22권3호
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    • pp.317-324
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    • 1997
  • This study was conducted to develope a machine vision system for a robotic transplanter for bedding plants. Specific objectives of this study were 1) to get coordinates of the healthy seedlings in high-density plug tray, and 2) to get the angle of the leaves of the healthy seedlings to avoid the damage to seedlings by gripper. Results of this study were summarized as follows. (1) The machine vision system of a robotic transplanter was developed. (2) Success rates of detecting empty cell and bad seedlings for 72-cell and 128-cell plug-trays were 98.8% and 94, 9% respectively. (3) Success rates of calculating the angle of leaves fer 72-cell and 128-cell plug-trays were 93.5% and 91.0% respectively.

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육묘용 로봇 이식기의 개발(I)-로봇 이식기의 기계시각 시스템의 개발- (Development of a Robotic Transplanter for Bedding Plants (I)-Development of the Machine Vision System of a Robotic Transplanter-)

  • 류관희;이희환;김기영;황호준
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1997년도 동계 학술대회 논문집
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    • pp.392-400
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    • 1997
  • This study was conducted to develope the machine vision system of a robotic transplanter for bedding plants. Specific objectives of this study were 1) to get coordinates of the healthy seedlings except empty cells and bad seedlings in high-density plug tray, and 2) to get the angle of the leaves of the healthy seedlings to avoid damage to the seedlings by gripper. The results of this study are summarized as follows. (1) The machine vision system of a robotic transplanter was developed. (2) The success rates of detecting empty cell and bad seedlings in 72-cell and 128-cell plug trays were 98.8% and 94.9% respectively. (3) The success rates of calculating the angle of leaves in 72-cell and 128-cell plug trays were 93.5% and 91.0% respectively.

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패턴인식기법을 이용한 로봇의 비주얼 가이던스 연구 (Study on the Robot Visual Guidance using Pattern Recognition Technigues)

  • 김효제;신기수;김태화;박명환;권순재
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2005년도 전력전자학술대회 논문집
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    • pp.479-482
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    • 2005
  • 본 연구는 알루미늄 단조 라인의 가열로 컨베이어에 적용된 6관절 이송용 로봇에 Machine Vision System을 구축 한 것으로 이송용 로봇이 작업 대상물을 적재하기 위한 위치정보를 획득하고 재처리하여 로봇 컨트롤러에 제공하는 비주얼가이던스 기법을 연구하여 이를 적용하였다. 적용된 Machine Vision System이 실제 구동에 있어서 안정함을 확인하였다. Machine Vision System에 적용된 CCD 센서로는 Sony사의 XC-HR50이 적용되었으며 Frame Grabber는 Matrox Meter II 카드가 적용되었다. Machine Vision System 제어기로는 범용PC(2.4Ghz, Windows 2000)를 사용하였으며 제어Software는 Microsoft 사의 Visual Basic 6.0 version을 사용하였다.

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머신비전을 이용한 타원형 기어 검사 시스템에 관한 연구 (A Study on the Elliptical Gear Inspection System Using Machine Vision)

  • 박진주;김기환;이응석
    • 대한기계학회논문집A
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    • 제38권1호
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    • pp.59-63
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    • 2014
  • 타원형 기어는 오발 유량계에 사용되는 특수기어로써 타원형 모양에 의해 생긴 공간으로 물을 흘려보내 계측한다. 본 연구의 목적은 타원형 기어의 가공정도를 판단하고 불량을 가려내는 시스템을 머신비전을 이용하여 개발하는 것이다. 각종 산업분야에서 자동화가 확산되면서 머신미전의 수요는 늘고 있으며 업계전반의 생산공정 중 검사 공정에서 빼놓을 수 없는 인자가 되었다. 하지만 머신비전을 이용한 기어측정은 기어의 형상이 복잡하다는 이유로 잘 사용되지 않고 있다. 본 연구에서는 머신비전을 이용한 검사 프로그램으로 타원형 기어의 측정이 가능함을 보였으며 본 연구에서 설계한 타원형 기어의 가공정도를 판단할 수 있었다.

머신비전을 위한 LED 조명시스템의 스트로브 제어 구동에 관한 연구 (A Study on Strobe Control over LED Lighting System for Machine Vision)

  • 김태화;이천
    • 한국전기전자재료학회논문지
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    • 제34권2호
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    • pp.121-125
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    • 2021
  • The machine vision technology has been widely used in the industrialized nations like the United States, Japan, and EU in the various industries from the late 1980s. Machine vision inspection system mainly consists of a camera, optics, illumination and an image acquisition system. Optimization of the illumination light source is very important. This paper shows a comparison between Pulse Width Modulation (PWM) control and strobe control in driving LED lighting system for machine vision. PWM control method has problems such as a temperature rising of LED and a flickering in image measurement for inspection. In contrast, the proposed strobe control method can suppress the temperature of LED light source below 40℃. Also, it can remove the flickering problem through a synchronization between a frame grabber and a camera shutter. Finally, the strobe control method was shown to extract clearer images with a high precision compared to PWM control method.

Vision을 이용한 MLGA Chip 장착시스템 개발 (Development of Mounting System for MLAG Chip using Vision)

  • 노병옥;강판식
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 추계학술대회 논문집
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    • pp.661-665
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    • 2000
  • In this study, the control of mounting system for MLGA package was developed using machine vision for the control of rotating position compensation and mounting position of X-Y table. Two type of material (polymer, alumina )were used for the dielectric insulator of the MLGA. And the illumination system and the algorithm of position compensation that be suitable for these materials was developed. Also, the position control order that compensated by machine vision actuated to micro stepping motor and X-Y servo motor by controlled PC and mounted the MLGA on PCB in resolution to$\pm10\mum$ .

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머신비젼을 이용한 구멍 정밀도의 기상측정시스템 개발 (On-Machine Measurement System Development of Hole Accuracy using Machine Vision)

  • 김민호;김태영
    • 한국정밀공학회지
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    • 제27권5호
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    • pp.7-13
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    • 2010
  • The integrity and accuracy of the drilling hole are decided by positional error, diameter error, the roundness, the straightness, the cylindericity, size of the burr, the surface roundness and others. Among these parameters, positional error and diameter error have the most important parameters. The diameter error has been widely studied, but there has been little research done about the positional error due to the difficulty of measuring it. The measurement of hole location and diameter would be performed by CMM(Coordinate Measurement Machine). However, the usage of CMM requires much time and cost. In order to overcome the difficulties, we have developed a hole location and diameter error measuring device using machine vision. The developed measurement device attached to a CNC machine can determine hole quality quickly and easily.

자동차 플라스틱 부품 락킹레버 검사를 위한 알고리즘 연구 (A Study on Algorithm for Inspection of Automobile's plastic part locking lever)

  • 장봉춘
    • 한국산학기술학회논문지
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    • 제11권5호
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    • pp.1558-1563
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    • 2010
  • 본 논문에서는 생산 현장에서 작업자가 육안으로 하고 있는 자동차 부품의 전수(全數) 검사 방법을 대체하기 위한 머신 비전 시스템의 개발을 위한 검사알고리즘에 관한 연구이다. 생산 효율과 품질 향상을 위한 노력의 일환으로 플라스틱 압출 성형에서 생기는 여러 가지 불량품 유형을 PC를 기반한 머신 비전 시스템(Machine Vision System)을 구축하기에 앞서 생산된 부품을 실시간 검사하고 제품의 불량 유무를 판별하는 알고리즘을 개발하는 것이 본 연구의 목적이다. 검사방법에 사용된 소프트웨어는 NI-LabVIEW를 사용하였으며, LabVIEW Vision 이미지 함수를 사용하여 검사 프로그램을 개발하였다. 개발된 검사 알고리즘은 생산 부품의 실시간 검사에 적용 될 수 있으며, 검사 영역과 설정 값을 비전 시스템 운용자가 설정할 수 있도록 프로그램이 만들어져 검증되었다.

노광시스템을 위한 자동 정렬 비젼시스템 (An Automatic Visual Alignment System for an Exposure System)

  • 조태훈;서재용
    • 반도체디스플레이기술학회지
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    • 제6권1호
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    • pp.43-48
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    • 2007
  • For exposure systems, very accurate alignment between the mask and the substrate is indispensable. In this paper, an automatic alignment system using machine vision for exposure systems is described. Machine vision algorithms are described in detail including extraction of an alignment mark's center position and camera calibration. Methods for extracting parameters for alignment are also presented with some compensation techniques to reduce alignment time. Our alignment system was implemented with a vision system and motion control stages. The performance of the alignment system has been extensively tested with satisfactory results. The performance evaluation shows alignment accuracy of lum within total alignment time of about $2{\sim}3$ seconds including stage moving time.

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기하학적 왜곡을 고려한 카메라 모델링 및 머신비젼 시스템에 관한 연구 (A Study on Machine Vision System and Camera Modeling with Geometric Distortion)

  • 계중읍
    • 한국생산제조학회지
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    • 제7권4호
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    • pp.64-72
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    • 1998
  • This paper a new approach to the design of machine vision technique with a camera modeling that accounts for major sources of geometric distortion, namely, radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to various degrees of decentering , that is , the optical centers of lens design and manufacturing as well as camera assembly. It is our propose to develop the vision system for the pattern recognition and the automatic test of parts and to apply the line of manufacturing. The performance of proposed vision system is illustrated by simulation and experiment.