• 제목/요약/키워드: manual inspection

검색결과 203건 처리시간 0.029초

Real-Time Pipe Fault Detection System Using Computer Vision

  • Kim Hyoung-Seok;Lee Byung-Ryong
    • International Journal of Precision Engineering and Manufacturing
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    • 제7권1호
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    • pp.30-34
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    • 2006
  • Recently, there has been an increasing demand for computer-vision-based inspection and/or measurement system as a part of factory automation equipment. In general, it is almost impossible to check the fault of all parts, coming from part-feeding system, with only manual inspection because of time limitation. Therefore, most of manual inspection is applied to specific samples, not all coming parts, and manual inspection neither guarantee consistent measuring accuracy nor decrease working time. Thus, in order to improve the measuring speed and accuracy of the inspection, a computer-aided measuring and analysis method is highly needed. In this paper, a computer-vision-based pipe inspection system is proposed, where the front and side-view profiles of three different kinds of pipes, coming from a forming line, are acquired by computer vision. And the edge detection is processed by using Laplace operator. To reduce the vision processing time, modified Hough transform is used with clustering method for straight line detection. And the center points and diameters of inner and outer circle are found to determine eccentricity of the parts. Also, an inspection system has been built so that the data and images of faulted parts are stored as files and transferred to the server.

Deep Learning Based Real-Time Painting Surface Inspection Algorithm for Autonomous Inspection Drone

  • Chang, Hyung-young;Han, Seung-ryong;Lim, Heon-young
    • Corrosion Science and Technology
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    • 제18권6호
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    • pp.253-257
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    • 2019
  • A deep learning based real-time painting surface inspection algorithm is proposed herein, designed for developing an autonomous inspection drone. The painting surface inspection is usually conducted manually. However, the manual inspection has a limitation in obtaining accurate data for correct judgement on the surface because of human error and deviation of individual inspection experiences. The best method to replace manual surface inspection is the vision-based inspection method with a camera, using various image processing algorithms. Nevertheless, the visual inspection is difficult to apply to surface inspection due to diverse appearances of material, hue, and lightning effects. To overcome technical limitations, a deep learning-based pattern recognition algorithm is proposed, which is specialized for painting surface inspections. The proposed algorithm functions in real time on the embedded board mounted on an autonomous inspection drone. The inspection results data are stored in the database and used for training the deep learning algorithm to improve performance. The various experiments for pre-inspection of painting processes are performed to verify real-time performance of the proposed deep learning algorithm.

잔교식 항만 구조물 유지관리 지침 개발 및 전산화 연구 (Development of Port Inspection Manual and Study on the Maintenance DB System)

  • 이성우;신수봉;정만화
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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    • pp.229-236
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    • 1998
  • Port structures are one of the important infrastructure of the nation. To ensure safety and extend lifetime of the existing port structures, it is necessary to develop proper maintenance program. In this study, port inspection manual for pier type structure are developed. The flow of inspection program is designed and defect type for each component of wharf is classified. Also systematic method of rating and evaluation is developed together with conceptual design of port maintenance data base system.

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공동주택 지하구조물의 누수 균열 진단 및 보수방법 표준 매뉴얼 - 유지관리 점검 - (Standard Manual for the Diagnosis and Repairing Leakage Cracks of Underground Structures in Apartment Housing - Maintenance Inspection -)

  • 김수연;이정훈;이승진;장덕배;오상근
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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    • pp.343-344
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    • 2018
  • This study proposes a standard method of diagnosis and repair to prevent and maintain the problem of durability deterioration caused by leakage cracks in apartment basement structures in Korea. Following the announcement of the previous maintenance plan section, this is the second part of the study, focusing on inspection of methods for diagnosing and repairing leakage cracks in apartment basement structures. In this thesis, the matters required for the procedures, types, times and equipment of the inspection plan and the inspection methods, records, and decisions required for the actual inspection are described.

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도시형 자기부상철도 토목구조물 유지관리 지침 작성을 위한 국내 철도교 유지관리 현황 분석 (Investigation of Recent Maintenance and Management in Existing Railway Bridges for Development of Urban Maglev Track Structures Inspection Manual)

  • 이기열;양태석;정원용
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 추계학술대회 논문집
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    • pp.107-111
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    • 2008
  • This paper presented a literature review and investigation analysis results of total 19 present guide book and provisions of maintenance and management system in existing railway bridges to development of urban maglev track structures inspection manual. This research carried out a cooperated research subject 3-1, development a design code and maintenance and management inspection manual for urban maglev track structures, of the Center for Urban Maglev Program. Three types of track structures were includes as a major analytical parameter together with railroad, high speed railroad, subway and light rail transit. Bridges were analyzed a general rules, investigation, evaluation, repair and strengthen method as a key aspect. And rail were analyzed examination and maintenance also. This analysis results show that the track structures evaluation are based on the test and examination results, and repaired or strengthened consideration of deterioration, track irregularity and materials according to provision requirements.

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콘크리트 터널 라이닝 균열검사 시스템 개발에 관한 연구 (Development of Inspection System for Crack on the Lining of Concrete Tunnel)

  • 고봉수;손영갑;신동익;김병화;한창수
    • 제어로봇시스템학회논문지
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    • 제10권1호
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    • pp.66-72
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    • 2004
  • To assess tunnel safety, cracks in tunnel lining are measured by inspectors, who observe cracks with their naked eyes and record them. But manual inspection is slow, and measured crack data is subjective. Therefore, this study proposes inspection system fur measuring cracks in tunnel lining and providing objective crack data to be used in safety assessment. The system consists of On-vehicle system and Laboratory system. On-Vehicle system acquires image data with line CCD camera on scanning along the tunnel lining. Laboratory system extracts crack information from the acquired image using image processing. Measured crack information is crack thickness, length and orientation. To improve accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structure were applied to image processing. The proposed system was verified with experiments in both laboratory environment and field environment such as subway tunnel.

다제품 로트 수량 확인법 : 무게 검사 방법 (Multi-product Lot Quantity Verification: A Weighing Inspection Approach)

  • 신완선
    • 대한산업공학회지
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    • 제19권4호
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    • pp.115-123
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    • 1993
  • This paper presents an alternative inspection method for counting items of a lot(or kit) in production lines or distribution centers. In this inspection, lots are weighed instead of counting all items of the lots in order to reduce the effort required for the 100% manual counting inspection. Inspection errors of this inspection procedure are analyzed and the impact of the variability of item weights on inspection errors are investigated. Two approaches, the cost assessment approach and the bicriterion decision making approach, are presented for the implementation of this inspection procedure.

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영상 특징 정합 및 양선형 보간법을 이용한 자동 도면 정합 검사 시스템 (Automatic Drawing Conformity Inspection System Using Image Features Matching and Bilinear Interpolation)

  • 송복득;이승희;정맹금;김혜진;신범주;이완직;양황규;김명호
    • 한국전기전자재료학회논문지
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    • 제25권4호
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    • pp.321-327
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    • 2012
  • To evaluate whether or not their product is in conformity with its drawing, today's factories manufacturing rubber and/or plastic products use manual process. In manual conformity inspection process, a person decides conformity as comparing drawing to image of product with his eyes. The manual process is tedious and time-consuming in addition that it is impossible to automatically record various informations related to inspection. To solve such problems, this paper proposes automatic drawing conformity inspection system based on computer vision technologies such as image feature matching and bilinear interpolation. The test results show that proposed system is a lot faster when comparing with manual system.

가변 조명 환경에서 차체 패널 자동검사시스템 개발 (A Development Auto Inspection System for Panel of Motor Body on the Variable Light Environment)

  • 이용중;신신범;윤진수;김형조;이양범
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.106-106
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    • 2000
  • This study is to embody automatic inspection system of motor body panel by visual system. since it is inefficient to examine the adhesion condition of components with the naked eye, picture processing algorithm is presented to replace the existing manual inspection process with an automatic inspection process. The developed automatic inspection system presents the examination method of the adhesion condition of components with a ixed camera, which leads to an increase of the productivity and a reduction of manufacturing cost.

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