• 제목/요약/키워드: Machine vision inspection

검색결과 241건 처리시간 0.03초

형상 매칭법을 이용한 비이클 실링 검사 시스템 개발 (Development of Vehicle Sealing Inspection System Using Geometry Matching Method)

  • 이정호;박찬희;서영수;이형수;김한주
    • 한국생산제조학회지
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    • 제22권1호
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    • pp.150-155
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    • 2013
  • This work present a new method of sealing inspection system for vehicle in which foam rubber materials are used for sealing the vehicle parts. This system is composed from a devices comprising non-contact and real-time scanning on visual inspection in machine parts. We have been investigated qualitative factors that influenced on sealing system of vehicle structure which flexibly attenuated vibration and plenty of foam rubber materials having elastic property. However, there are different factors which still depended on outdated technique (personnel subjective judgment) in the performance inspection of rubber parts, specially for cross section inspection. Through a newly developed inspection system which recently applied for the production line, we successfully achieved more effective results of matching rate by about 80 % in the sealing performance inspection with 0.7% to 1.4% in the repeated errors. These are resulted from non-contacted response by CCD camera and vision program using geometry matching method. We expect that this system may be widely applied in the strict inspection parts of more diverse cross-section in future.

비전센서를 이용한 다층 용접선 추적 시스템 (The Multipass Joint Tracking System by Vision Sensor)

  • 이정익;고병갑
    • 한국공작기계학회논문집
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    • 제16권5호
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    • pp.14-23
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    • 2007
  • Welding fabrication invariantly involves three district sequential steps: preparation, actual process execution and post-weld inspection. One of the major problems in automating these steps and developing autonomous welding system is the lack of proper sensing strategies. Conventionally, machine vision is used in robotic arc welding only for the correction of pre-taught welding paths in single pass. However, in this paper, multipass tracking more than single pass tracking is performed by conventional seam tracking algorithm and developed one. And tracking performances of two algorithm are compared in multipass tracking. As the result, tracking performance in multi-pass welding shows superior conventional seam tracking algorithm to developed one.

머신 비전을 이용한 카 시트 쿠션 프레임 검사 시스템 개발 (Development of an Inspection System for Car Seat Bottom Cushion Frame Using Machine Vision)

  • 조셀리토;정호;장봉춘
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2007년도 춘계학술발표논문집
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    • pp.253-255
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    • 2007
  • The increasing requirement for consistency and quality in the automotive industry started the development of a Machine Vision Inspection System (MVIS) for a car seat bottom cushion frame with the goal of providing a higher precision Inspection System with minimal components and less human intervention. The modifications made to an existing PC-based MVIS were shown to improve the accuracy and precision of the system. By using four monochrome cameras, the working distance was lowered and the image distortions were lessened without resorting to extensive image processing. The inspection scripts were evaluated if it could recognize good and bad products and were shown to be robust and able to reach an acceptable level of precision. It was also shown that the amount of human interaction was lessened.

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반도체 패키지 외관 검사 시스템 개발 (Development of Inspection System for the IC package)

  • 이정섭;권오민;주효남;김준식;류근호
    • 제어로봇시스템학회논문지
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    • 제14권5호
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    • pp.453-461
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    • 2008
  • In this paper, new inspection method is proposed for the surfaces of lead frame and IC's. Optimal optical system and the accurate algorithm for the surface inspection are needed in machine vision area. The proposed optical system is composed of rectangular oblique light illumination and coaxial light illumination for the higher contrast and the results shows the better performances through experiments. The markings of IC surface are inspected using the accurate proposed method using the partitioned correlation coefficient, and the result shows reduction of under kill ratio compared to the previous method.

고정밀 머신 비전을 위한 정확한 PCB 윤곽선과 코너 검출 (Accurate PCB Outline Extraction and Corner Detection for High Precision Machine Vision)

  • 고동민;최강선
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.53-58
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    • 2017
  • Recently, advance in technology have increased the importance of visual inspection in semiconductor inspection areas. In PCB visual inspection, accurate line estimation is critical to the accuracy of the entire process, since it is utilized in preprocessing steps such as calibration and alignment. We propose a line estimation method that is differently weighted for the line candidates using a histogram of gradient information, when the position of the initial approximate corner points is known. Using the obtained line equation of the outline, corner points can be calculated accurately. The proposed method is compared with the existing method in terms of the accuracy of the detected corner points. The proposed method accurately detects corner points even when the existing method fails. For high-resolution frames of 3.5mega-pixels, the proposed method is performed in 89.01ms.

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원단 불량 검사기의 자동 마킹 시스템 개발 (Development of an Automatic Marking System for Fabric Inspection Machine)

  • 김재연;이재용
    • 한국기계가공학회지
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    • 제21권6호
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    • pp.22-29
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    • 2022
  • In this study, an automatic marking system for fabric inspection machines was developed. The main objectives of the study were to promote intelligence and automation for the inspection process, as well as to increase textile industrial productivity. Generally, when a worker manually inspects and marks a fabric, human error and reduced efficiency are unavoidable. To overcome these problems, we developed an automatic marking system that uses robots. This system incorporates a vision camera to automatically recognize defects, and an optical fiber sensor to detect the side of the fabric. To verify the performance, the control system sends a command directly to the robot to mark the fabric. Finally, the actual production confirmed that the proposed system could perform the desired motion.

내빙선과 유빙의 충돌을 가정한 예인수조실험 및 머신비전검사를 이용한 유빙의 운동 계측 (Towing Tank Test assuming the Collision between Ice-going Ship and Ice Floe and Measurement of Ice Floe's Motion using Machine Vision Inspection)

  • 김효일;전승환
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2015년도 추계학술대회
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    • pp.33-34
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    • 2015
  • 북극항로(NSR)를 통항하는 상선과 화물량이 매년 중가추세에 있다. 쇄빙선의 도움을 받아 북극항로를 통항하는 상선의 안전한 항해를 위협하는 가장 큰 요인은 얼음과의 충돌이다. 따라서 선박과 얼음의 충돌 메커니즘을 규명하기 위한 노력이 관련 연구자들에 의해서 활발히 이루어지고 있다. 본 연구에서는 북극항로를 운항하는 내빙선과 유빙의 충돌을 가정한 예인수조실험을 실시하며, 충돌 후 얼음의 운동(속력, 궤적)을 머신비전검사를 통해서 계측한다. 아울러 오차계산을 통해서 머신비전검사 기법의 정밀도를 검증한다.

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비전 시스템을 이용한 샤프트 웜 외관검사기 개발 (A Vision System for the Inspection of Shaft Worm)

  • 고은지;박준성;김형기;양우석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.903-904
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    • 2006
  • This paper is about a vision system that exhibits automatic examination of the conditions of shaft's worm. The system is composed of three part : image acquisition, vision algorithm, and user interface. The image acquisition part is composed of motor control, illumination and optics. The vision algorithm examines the parts using shaft image. User interface is divided into two parts, user interface for feature registering with control value settings and user interface for examination operation. The automatic inspection system introduced in this paper can be used as a tool for final examination of shaft worm.

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