• 제목/요약/키워드: Pattern inspection

검색결과 413건 처리시간 0.03초

보일러 사용 패턴에 따른 누출점검용 가스계량기 누출 알람 신뢰도 개선 연구 (A Study on the Improvement of Leak Alarm Reliability of Gas Meter for Leak Inspection according to Boiler Usage Pattern)

  • 양진두;이승원;최은일;임성현
    • 한국가스학회지
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    • 제27권3호
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    • pp.72-76
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    • 2023
  • 도시가스 사용시설 중 은폐배관에 점검구를 대신하여 누출점검용 가스계량기를 사용하는 사례가 증가하고 있다. 이 계량기가 설치되어 있는 일부 세대 중 실제 가스누출이 없는 환경에서 보일러의 특수한 사용 패턴에 따라 누출 알람 경보가 지속적으로 발생되었다. 실제 가스 누출을 감지하는 본연의 기능을 발휘하지 못하는 실정이다. 이러한 문제점에 착안하여 본 연구에서는 보일러의 특수한 가스 사용 패턴에 따라 누출점검용 가스 계량기가 누출 알람을 발생시키는 조건을 분석하고, 실제 가스 누출이 있는 경우에만 계량기에서 알람을 발생 할 수 있는 설정값을 모색해 보았다. 이를 통해 알람의 오작동으로 인한 시민의 가스 사용에 대한 불안감을 해소함과 동시에 누출되고 있는 가스를 포착할 수 있는 계량기 본연의 기능을 수행할 수 있도록 하고자 한다.

Visual Inspection of Tube Internal

  • Choi, Young-Soo;Cho, Jai-Wan;Kim, Chang-Hoi;Seo, Yong-Chil;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.789-792
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    • 2003
  • Pipe inspection has a great importance to ensure safety for the nuclear power plant. In this paper, we designed visual inspection module for the tube internal, which diameter is 15${\sim}$20mm. And we made inspection module which consisted of CCD camera and light. And the relation between image and real world coordinate is established. Image processing is performed to calculate mapping parameter and analyze the size of defect. For the calculation of mapping parameter, experiment is performed using grid type test pattern. Acquired image is processed to extract image coordinate. Edge detection, thresholding, median filtering and morphology filtering is applied to extract grid pattern. Extracted image coordinate is used to calculate image to real world mapping. Lens distortion was considered and corrected to get exact data. Coordinate transformation data is provided for the users to recognize easily. Experiment was performed using grid type test pattern, we extracted lens distortion parameter and real coordinate of defect point. Radial distortion of lens was corrected but tangential distortion was not considered. As continuum to this study, the tangential distortion of lens is considered and improvement of analy zing technique for the tube internal be explored continuously.

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검사공정 자동화를 위한 실시간 비전알고리즘 개발 및 응용에 관한 연구 (A Study on Development and Application of Real Time Vision Algorithm for Inspection Process Automation)

  • 백승학;황원준;신행봉;최영식;박대영
    • 한국산업융합학회 논문집
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    • 제19권1호
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    • pp.42-49
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    • 2016
  • This study proposes a non-contact inspective technology based robot vision system for Faulty Inspection of welding States and Parts Shape. The maine focus is real time implementation of the machining parts' automatic inspection by the robotic moving. For this purpose, the automatic test instrument inspects the precision components designator the vision system. pattern Recognition Technologies and Precision Components for vision inspection technology and precision machining of precision parts including the status and appearance distinguish between good and bad. To perform a realization of a real-time automation integration system for the precision parts of manufacturing process, it is designed a robot vision system for the integrated system controller and verified the reliability through experiments. The main contents of this paper, the robot vision technology for noncontact inspection of precision components and machinery parts is useful technology for FA.

성인 남성용 런닝형 니퍼패턴 개발 (A Study on the Running Type Nipper Pattern Development for Adult men)

  • 조평훈;손후조;나미향
    • 한국생활과학회지
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    • 제16권3호
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    • pp.577-585
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    • 2007
  • This research aimed for 20 latter man whose body shape of torso alters remarkably to develop nipper pattern of running type considered characteristic of body shape of 20 latter man to keep rather balanced body shape against middle age when body shape changes extremely. 1. running type nipper pattern design. Pattern of running, lining and nipper were designed by flattening surface shell. A basis line of running pattern is completed by applying reduction ratio after 3 times of modification & complement based on surface shell. Nipper pattern is designed with design line set by a plaster cast based on running pattern line. Lining pattern is designed with lining design line set by a plaster cast based on running type outside material and nipper pattern. 2. Functional evaluation of research and commercial nipper. Functional inspection through dress test was applied 5point evaluation method and the result of functional inspection on the sight of a wearer is that research nipper(running reduction ratio 15%, nipper reduction ratio 18%) averaged more 4.8point but commercial nipper averaged less 1.8point in the aspect of 20 items such as wear sensibility, motional function and external appearance aesthetic. Research running type nipper scored high in order of motional function, looks of side, back, front and whole and wear sensibility. Functional inspection in the point of view of an observer is that research nipper(running reduction ratio 15%, nipper reduction ratio 18%) averaged over 4.8point and commercial nipper averaged under 1.9point in 17 items of external appearance beauty. Research running type nipper marked high in order of looks of back, whole, front and side.

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.

반도체 부품 마크 미세 결함 검사를 위한 패턴 영역 분할 및 인식 방법 (Pattern Partitioning and Decision Method in the Semiconductor Chip Marking Inspection)

  • 장유정;이정섭;주효남;김준식
    • 제어로봇시스템학회논문지
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    • 제16권9호
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    • pp.913-917
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    • 2010
  • To inspect the defects of printed markings on the surface of IC package, the OCV (Optical Character Verification) method based on NCC (Normalized Correlation Coefficient) pattern matching is widely used. In order to detect the micro pattern defects appearing on the small portion of the markings, a Partitioned NCC pattern matching method was proposed to overcome the limitation of the NCC pattern matching. In this method, the reference pattern is first partitioned into several blocks and the NCC values are computed and are combined in these small partitioned blocks, rather than just using the NCC value for the whole reference pattern. In this paper, we proposed a method to decide the proper number of partition blocks and a method to inspect and combine the NCC values of each partitioned block to identify the defective markings.

공압출 다층 플라스틱 필름 라인을 위한 결함 검사 시스템 (An Inspection System for Multilayer Co-Extrusion Blown Plastic Film Line)

  • 한종우;무하마드 타릭 마흐무드;최영규
    • 반도체디스플레이기술학회지
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    • 제11권2호
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    • pp.45-51
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    • 2012
  • Multilayer co-extrusion blown film construction is a popular technique for producing plastic films for various packaging industries. Automated detection of defective films can improve the quality of film production process. In this paper, we propose a film inspection system that can detect and classify film defects robustly. In our system, first, film images are acquired through a high speed line-scan camera under an appropriate lighting system. In order to detect and classify film defects, an inspection algorithm is developed. The algorithm divides the typical film defects into two groups: intensity-based and texture-based. Intensity-based defects are classified based on geometric features. Whereas, to classify texture-based defects, a texture analysis technique based on local binary pattern (LBP) is adopted. Experimental results revealed that our film inspection system is effective in detecting and classifying defects for the multilayer co-extrusion blown film construction line.

전철 변전소 전력부하패턴 점검 프로그램 개발 (Developing electric railway load pattern inspection program)

  • 전용주;이기천
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.893-898
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    • 2007
  • At present, one of the big characteristics in electric power market in korea is unique seller but in the near future competitions are expected in the market. so additional service for the electric power are expected. Also with development of IT technology, remote inspection for power usage are possible so as consumption pattern analysis. KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern. This paper presents electric load consumption pattern for representative substation like urban subway, high-speed train, industrial line and simulation program for electric power rate definition program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year.

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패턴 비교를 통한 TFT-LCD 패널의 결함 검출 방법 (A New Defect Inspection Method for TFT-LCD Panel using Pattern Comparison)

  • 이경민;장문수;박부견
    • 전기학회논문지
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    • 제57권2호
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    • pp.307-313
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    • 2008
  • In this paper, we propose a novel defects inspection algorithm for TFT-LCD panels. We first compensate the distorted image caused by the camera distortion and the uneven illumination environment using the least squares method and the bezier surface. We find a starting point of each pattern for restricting each pattern. A clean image is compared to each pattern to find defects using modified PCSR-G algorithm. The simulation example shows that our algorithm not only inspects the defects well, but also is robust to the 1-pixel error.

패턴 생성기의 PLD 회로설계에 관한 연구 (A Study on the PLD Circuit Design of Pattern Generator)

  • 노영동;김준식
    • 조명전기설비학회논문지
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    • 제18권6호
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    • pp.45-54
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    • 2004
  • 일반적으로 반도체 소자의 집적도가 증가함에 따라 기능적 오류 검사 시간이 급격하게 증가하며, 이러한 문제를 해결하기 위해 제조공정에서 패턴 발생기의 사용은 필수적이다. 본 논문에서는 반도체 소자의 기능적 오류를 검사 하기 위한 패턴 발생기의 PLD(Programmable Logic Device) 회로를 설계하였다. 이러한 모든 사항은 시뮬레이션을 통하여 회로의 동작과 기능을 검증하였으며, 만족할만한 결과를 얻었다.