• 제목/요약/키워드: machine vision system

검색결과 568건 처리시간 0.028초

대두의 자동 선별을 위한 컬러 기계시각장치의 설계 (Design of a Color Machine Vision System for the Automatic Sorting of Soybeans)

  • 김태호;문창수;박수우;정원교;도용태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.231-234
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    • 2003
  • This paper describes the structure, operation, image processing, and decision making techniques of a color machine vision system designed for the automatic sorting of soybeans. The system consists of feeder, conveyor belt, line-scan camera, lights. ejector, and a PC Unlike manufactured goods, agricultural products including soybeans have quite uneven features. The criteria for sorting good and bad beans also vary depending on inspectors. We tackle these problem by letting the system learn the inspecting parameters from good samples selected manually by a machine user before running the system for sorting. Real-time processing has another importance In the design. Four parallel DSPs are employed to increase the processing speed. When the designed system was tested with real soybeans and the result was successful.

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자동차 부품 품질검사를 위한 비전시스템 개발과 머신러닝 모델 비교 (Development of vision system for quality inspection of automotive parts and comparison of machine learning models)

  • 박영민;정동일
    • 문화기술의 융합
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    • 제8권1호
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    • pp.409-415
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    • 2022
  • 컴퓨터 비전은 카메라를 이용하여 측정대상의 영상을 획득하고, 추출하고자 하는 특징 값, 벡터, 영역 등을 알고리즘과 라이브러리 함수를 응용하여 검출한다. 검출된 데이터는 사용하는 목적에 따라 다양한 형태로 계산되고 분석한다. 컴퓨터 비전은 다양한 곳에 활용되고 있으며, 특히 자동차의 부품을 자동으로 인식하거나 품질을 측정하는 분야에 많이 활용된다. 컴퓨터 비전을 산업분야에서 머신비전이라는 용어로 활용되고 있으며, 인공지능과 연결되어 제품의 품질을 판정하거나 결과를 예측하기도 한다. 본 연구에서는 자동차 부품의 품질을 판정하기 위한 비전시스템을 구축하고, 생산된 데이터에 5개의 머신러닝 분류 모델을 적용하여 그 결과를 비교하였다.

원형구멍 정밀 내경측정을 위한 영상처리 개선에 관한 연구 (A Study on Improvement of Image Processing for Precision Inner Diameter Measurement of Circular Hole)

  • 박창용;권현규;이정화;장화신
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.8-13
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    • 2017
  • In this paper, the measurement of the inner diameter dimension of the circular hole by using a machine vision system was studied. This paper was focused on the theory and key technologies of machine vision inspection technology for the improvement of measurement accuracy and speed of the micro circular holes. A new method was proposed and was verified through the experiments on Gray conversion, binarization, edge extraction and Hough transform in machine vision system processes. Firstly, the Hough transform was proposed in order to improve the speed increase and implementation ease, it demonstrated the superiority of Hough transform and improvement through a comparative experiment. Secondly, we propose a calibration method of the system in order to obtain exactly the inner diameter of the circular hole. Finally, we demonstrate the reliability of the entire system as a MATLAB-based implementation of the GUI program, measuring the inner diameter of the circular hole through the circular holes of different dimensions measuring experiment.

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Integrated Machine Vision을 이용한 LED Die Bonder 검사시스템 (LED Die Bonder Inspection System Using Integrated Machine Visions)

  • 조용규;하석재;김종수;조명우;최원호
    • 한국산학기술학회논문지
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    • 제14권6호
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    • pp.2624-2630
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    • 2013
  • LED 칩 패키징에서 다이 본딩은 분할된 칩을 리드 프레임에 고정시켜 칩이 이후 공정을 견딜 수 있도록 충분한 강도를 제공하는 중요한 공정이다. 다이본딩 공정 중에서, 측정 단계는 정확한 에폭시 토출 위치 지정과 충분한 강도를 가지고 접합할 수 있도록 다이가 정확한 위치에 놓여있는지 상태를 결정하는데 있어 매우 중요하다. 본 연구에서는 LED 다이 본딩을 위한 머신 비전 기반의 측정 시스템을 개발하였다. 제안된 시스템에서 에폭시 토출과 어태칭 상태 검출을 위해 각각 2개의 카메라를 사용하였다. 제안된 측정 시스템에 새로운 비전 알고리즘을 적용하였고, 실험을 통해 본 알고리즘의 효율을 검증하였다. 비전 알고리즘을 이용하여 측정된 위치 오차는 $X:-29{\mu}m$, $Y:-32{\mu}m$, 회전오차는 3도 이내 인 것을 확인할 수 있었다. 결론적으로 제안된 머신 비전 기반의 측정 시스템을 통해 개발된 다이 본딩 시스템의 향상된 성능을 확인하였다.

머신비전을 이용한 리모컨 외관검사 자동화 시스템 개발 (Development of Automatic Remocon Inspection System using Machine Vision)

  • 송기현;허경무
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.138-140
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    • 2004
  • In this study, we develop a remocon inspection automatic system using machine vision technique. By our proposed inspection system, the inspection accuracy and processing time was considerably improved.

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Development of an Optimal Trajectory Planning Algorithm for an Automated Pavement Crack Sealer

  • Yoo, Hyun-Seok;Kim, Young-Suk
    • Journal of Construction Engineering and Project Management
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    • 제2권1호
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    • pp.35-44
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    • 2012
  • In the last two decades, several tele-operated and machine-vision-assisted systems have been developed in the construction and maintenance area, such as pavement crack sealing, sewer pipe rehabilitation, and excavation. In developing such tele-operated and machine-vision-assisted systems, trajectory plans are very important tasks for the optimal motions of robots whether their environments are structured or unstructured. This paper presents an optimal trajectory planning algorithm used for a machine-vision-assisted automatic pavement crack sealing system. In this paper, the performance of the proposed optimal trajectory planning algorithm is compared with the greedy trajectory plans, which are used in the previously developed pavement crack sealing systems. The comparison is based on the computational cost vs. the overall gains in crack sealing efficiency. Finally, it is concluded that the proposed algorithm plays an important role in the productivity improvement of the developed automatic pavement crack sealing system.

머신비전을 이용한 판토그래프 습판 마모 측정에 있어서 우천으로 인한 영상노이즈 제거방법에 관한 연구 (A Study on the Elimination Method of Noise Image Caused by Rainfall Using Machine Vision)

  • 이성권;이대원;김길동
    • 한국철도학회논문집
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    • 제12권3호
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    • pp.364-369
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    • 2009
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection doe to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

Development of Machine Vision System and Dimensional Analysis of the Automobile Front-Chassis-Module

  • Lee, Dong-Mok;Yang, Seung-Han;Lee, Sang-Ryong;Lee, Young-Moon
    • Journal of Mechanical Science and Technology
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    • 제18권12호
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    • pp.2209-2215
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    • 2004
  • In the present research work, an automated machine vision system and a new algorithm to interpret the inspection data has been developed. In the past, the control of tolerance of front-chassis-module was done manually. In the present work a machine vision system and required algorithm was developed to carryout dimensional evaluation automatically. The present system is used to verify whether the automobile front-chassis-module is within the tolerance limit or not. The directional ability parameters related with front-chassis-module such as camber, caster, toe and king-pin angle are also determined using the present algorithm. The above mentioned parameters are evaluated by the pose of interlinks in the assembly of an automobile front-chassis-module. The location of ball-joint center is important factor to determine these parameters. A method to determine the location of ball-joint center using geometric features is also suggested in this paper. In the present work a 3-D best fitting method is used for determining the relationship between nominal design coordinate system and the corresponding feature coordinate system.

머신 비젼 시스템을 이용한 세탁기 밸런스 방향 인식에 관한 연구 (A study on the Recognition of Balance Direction in Washing Machine using Machine Vision System)

  • 김광호;김종태;김태호;박진완;김재상;정상화
    • 한국기계가공학회지
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    • 제8권2호
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    • pp.3-9
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    • 2009
  • When washing machine is rotated in the laundry, it tends to lean toward one side. This tendency causes a serious vibration. The balance of washing machine plays an important role in order to reduce the vibration by injecting the sand or the salt water into the balance of washing machine. The hot plate welder is used to prevent from outflow of contents. The hot plate welder brings about many problems which is concerned with accidents. The direction recognition and location information of the balance are required in this system. In this paper, the recognition direction of balance in washing machine using machine vision system is studied. The template matching algorithm compares sub-image with original image acquired in real-time to obtain a center point of balance image. The mid points and the edges of balance are estimated by the edge detection and gauging algorithms. The data acquired by these results is used for recognition direction of balance. The automation software for image processing is developed by using LabVIEW.

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