• 제목/요약/키워드: In-line inspection

검색결과 534건 처리시간 0.034초

라인스캔을 이용한 자동차 사출성형 부품의 검사 기술 (An Inspection Method for Injection Molded Automotive Parts using Line-Scan)

  • 윤재식;김진욱;허만탁;김석태
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 춘계학술대회
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    • pp.805-807
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    • 2011
  • 본 논문에서는 라인스캔 기술을 이용하여 자동차 사출성형 부품의 결함을 검사하는 방법을 제안한다. 검사대상의 결함을 검사하기 위한 검사 알고리즘은 라인 검출 알고리즘, 결함 분석 알고리즘으로 구성된다. 라인 검출 알고리즘은 레이저 선의 중심점에 해당하는 픽셀의 좌표를 결정한다. 검사 알고리즘은 해당 검사대상 모델에 대한 패턴 데이터와 라인 검출 알고리즘으로부터 얻은 데이터를 이용하여 제품의 불량 유무를 결정한다. 검사 정확도, 처리 시간 등의 평가를 통해 제안하는 검사 방법이 유효함을 확인하였다.

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고속 이동 판재의 자동 외관 검사를 위한 영상처리 (Image Processing Technique for an Automatic Inspection of the Surface Outlook of High Speed Moving Plate.)

  • 부광석;임성현;조현춘
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.219-219
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    • 2000
  • A Plate type pipe is used for heat exchange in radiator of a vehicle. The pipe has several rooms through which water flows and heat is dissipated into outside . In the case that there are small holes, cracks or some scratches on the plate, the radiators lost their functions due to Leakage. This may result in overheating of engine in a car. Thus, we need to perform the entire inspection of the plate type pipe in advance before assembling the radiator. In manufacturing process of the plate type pipe, the productive speed is very high and that may be performed continuously. So, there is no room to perform the outlook inspection by typical image processing techniques. This paper proposes a new method to inspect the outlook surface of the plate type pipe automatically with high speed. Especially, the sequential processing technique of an algorithm which detects defects on the surfaces of the plate type pipe is proposed for line scan camera which captures line image. To evaluate the inspection performance, a series of experiments is performed.

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컴퓨터 비젼을 이용한 파이프 불량 검사시스템 개발 (Development of Pipe Fault Inspection System using Computer Vision)

  • 박찬호;양순용;안경관;오현옥;이병룡
    • 제어로봇시스템학회논문지
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    • 제9권10호
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    • pp.822-831
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    • 2003
  • A computer-vision based pipe-inspection algorithm is developed. The algorithm uses the modified Hough transformation and a line-scanning approach to identify the edge line and the radius of the pipe image, from which the eccentricity and dimension of the pipe-end is calculated. Line and circle detection was performed using Laplace operator with input image, which are acquired from the front and side cameras. In order to minimize the memory usage and the processing time, a clustering method with the modified Hough transformation is introduced for line detection. The dimension of inner and outer radius of pipe is calculated by the proposed line-scanning method. The method scans several lines along the X and Y axes, calculating the eccentricity of inner and outer circle, by which pipes with wrong end-shape can be classified and removed.

컴퓨터 비젼을 이용한 표면결함검사장치 개발 (Development of Automated Surface Inspection System using the Computer V)

  • 이종학;정진양
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.668-670
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    • 1999
  • We have developed a automatic surface inspection system for cold Rolled strips in steel making process for several years. We have experienced the various kinds of surface inspection systems, including linear CCD camera type and the laser type inspection system which was installed in cold rolled strips production lines. But, we did not satisfied with these inspection systems owing to insufficient detection and classification rate, real time processing performance and limited line speed of real production lines. In order to increase detection and computing power, we have used the Dark Field illumination with Infra_Red LED, Bright Field illumination with Xenon Lamp, Parallel Computing Processor with Area typed CCD camera and full software based image processing technique for the ease up_grading and maintenance. In this paper, we introduced the automatic inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms. As a result of experiment, under the situation of the high speed processed line(max 1000 meter per minute) defect detection is above 90% for all occurred defects in real line, defect name classification rate is about 80% for most frequently occurred 8 defect, and defect grade classification rate is 84% for name classified defect.

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컴퓨터 비젼을 이용한 파이프 형상 검사시스템에 관한 연구 (A Study about Pipe Shape Inspection System for Computer Vision)

  • 김형석;이병룡;양순용;안경관;오현옥
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.946-950
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    • 2003
  • In this paper, a computer-vision based pipe shape inspection algorithm is developed. The algorithm uses the modified Hough transformation and a line-scanning approach to identify the edge line and radius of the pipe image, from which the eccentricity and dimension of the pipe-end is calculated. Line and circle detection was performed using Laplace operator with input image, which are acquired from the front and side cameras. In order to minimize the memory usage and the processing time, a clustering method with the modified Hough transformation for line detection. The dimension of inner and outer radius of pipe is calculated by proposed line-scanning method. The method scans several lines along the X and Y axes, calculating the eccentricity of inner and outer circle. by which pipes with wrong end-shape can be classified removed.

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컴퓨터 비젼을 이용한 파이프 검사시스템에 대한 연구 (A Study about Pipe inspection System for Computer Vision)

  • 박찬호;이병룡;양순용;안경관;오현옥
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.521-525
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    • 2002
  • In this paper, a computer-vision based pipe-inspection algorithm is developed. The algorithm uses the modified Hough transformation and a line-scanning approach to identify the edge line and radius of the pipe image, from which the eccentricity and dimension of the pipe-end is calculated. Line and circle detection was performed using Laplace operator with input image, which are acquired from the front and side cameras. In order to minimize the memory usage and the processing time, a clustering method with the modified Hough transformation for line detection. The dimension of inner and outer radius of pipe is calculated by proposed line-scanning method. The method scans several lines along the X and Y axes, calculating the eccentricity of inner and outer circle, by which pipes with wrong end-shape can be classified removed.

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라인스캔 카메라 형 광학검사기틀 위한 경로계획 방법 (A Path Planning Method for Automatic Optical Inspection Machines with Line Scan Camera)

  • 채호병;김환용;박태형
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.333-334
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    • 2007
  • We propose a path planning method to decrease a inspection lead time of line scan camera in SMT(surface mount technology) in-line system. The inspection window area of printed circuit board should be minimized to consider the FOV(field of view) of line scan camera so that line scan inspector is going to find a optimal solution of path planning. We propose one of the hierarchical clustrering algorithm for a given board. Comparative simulation results are presented to verify the usefulness of proposed method.

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볼트 결함 판별을 위한 고속 정밀 검사 장치 개발 (A High-speed Automatic Precision Inspection System for Bolts Defects)

  • 오춘석;이현민
    • 정보처리학회논문지B
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    • 제10B권3호
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    • pp.305-310
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    • 2003
  • 본 논문은 자동으로 볼트를 고속 정밀 검사할 수 있는 장치에 대한 시스템 설계 및 제품 개발에 관해 다룬다. 볼트를 연속적으로 고속 검사하기 위해 컨베이어를 이용하고 이를 동작시키기 위한 서보모터와 엔코더를 부착하여 정확한 이송량를 유지하게 된다. 엔코더 신호를 수신한 라인스캔 카메라의 동작에 따라 프레임 그래버로 볼트 영상을 전송하며 한 프레임을 구성한 후 영상 검사 알고리즘에 의해 파라메터를 측정하고 검사하게 된다. 제작된 결과물을 이용하여 실험을 통해 본 장치의 효용성을 입증하고자 한다.

Bare Glass Inspection System using Line Scan Camera

  • Baek, Gyeoung-Hun;Cho, Seog-Bin;Jung, Sung-Yoon;Baek, Kwang-Ryul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1565-1567
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    • 2004
  • Various defects are found in FPD (Flat Panel Display) manufacturing process. So detecting these defects early and reprocessing them is an important factor that reduces the cost of production. In this paper, the bare glass inspection system for the FPD which is the early process inspection system in the FPD manufacturing process is designed and implemented using the high performance and accuracy CCD line scan camera. For the preprocessing of the high speed line image data, the Image Processing Part (IPP) is designed and implemented using high performance DSP (Digital signal Processor), FIFO (First in First out), FPGA (Field Programmable Gate Array) and the Data Management and System Control part are implemented using ARM (Advanced RISC Machine) processor to control many IPP and cameras and to provide remote users with processed data. For evaluating implemented system, experiment environment which has an area camera for reviewing and moving shelf is made.

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