• Title/Summary/Keyword: Visual Inspection

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A Study on the Improvement of Human Operators' Performance in Detection of External Defects in Visual Inspection (품질 검사자의 외관검사 검출력 향상방안에 관한 연구)

  • Han, Sung-Jae;Ham, Dong-Han
    • Journal of the Korea Safety Management & Science
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    • v.21 no.4
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    • pp.67-74
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    • 2019
  • Visual inspection is regarded as one of the critical activities for quality control in a manufacturing company. it is thus important to improve the performance of detecting a defective part or product. There are three probable working modes for visual inspection: fully automatic (by automatic machines), fully manual (by human operators), and semi-automatic (by collaboration between human operators and automatic machines). Most of the current studies on visual inspection have been focused on the improvement of automatic detection performance by developing a better automatic machine using computer vision technologies. However, there are still a range of situations where human operators should conduct visual inspection with/without automatic machines. In this situation, human operators'performance of visual inspection is significant to the successful quality control. However, visual inspection of components assembled into a mobile camera module belongs to those situations. This study aims to investigate human performance issues in visual inspection of the components, paying more attention to human errors. For this, Abstraction Hierarchy-based work domain modeling method was applied to examine a range of direct or indirect factors related to human errors and their relationships in the visual inspection of the components. Although this study was conducted in the context of manufacturing mobile camera modules, the proposed method would be easily generalized into other industries.

Visual Inspection System on PSC Bridges Using IT (IT를 활용한 PSC교량의 외관조사지원시스템 개발)

  • Oh, Kwang-Chin;Choi, Jae-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.05a
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    • pp.396-399
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    • 2004
  • This study was performed to develop necessary Visual Inspection System for the PSC Bridges precision safety diagnosis which to enhance the efficiency and accuracy of visual inspection by using mobile PC and adopted IT. This system was constructed to the automatic visual inspection map generating program and the Visual Inspection System using mobile PC that predicted high efficiency.

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Study on Diagnosis by Visual Inspection of Local Regions in Nei-Ching ("황제내경"의 국소부위 망형태(望形態)에 대한 연구)

  • Seo, Jae-Ho;Kim, Jeong-Kyun;Kim, Hyun-Ho;Park, Jin-Sung;Park, Young-Bae;Park, Young-Jae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.15 no.3
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    • pp.235-244
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    • 2011
  • Objectives: There are four types of diagnostic methods in Oriental medicine, and visual inspection is the first method among them. This study was written in order to complement further understanding on visual inspection. Methods: The authors reviewed a word related with visual inspection in Nei-Ching. The authors researched static words such as bigger/smaller, longer/shorter, slower/faster, curved/straight, one-sided/fair, and groove/uplift, and active words such as extension and contraction, shake, tremor, slow, fast, walk, run, standing, lying, and sitting related with visual inspection in Nei-Ching. Results: The static words linked with visual inspection are related with skin, muscles, fat, and especially the liver, stomach, and large intestine. The active words linked with visual inspection are related with movement of muscles, fat, and bone. Conclusion: In this study, the authors provided further understanding on visual inspection in Nei-Ching. However, there was no clear reference point about appearances and movements.

Multi-sensor Visual inspection for Seamless Steel Pipe´s Straightness

  • Tomoo, Aoyama;Zhang, Y.G.
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.88.3-88
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    • 2001
  • In this paper, an on-line multi-sensor visual inspection technique for seamless steel pipe´s straightness is developed. The basic principle of the visual measuring method is detailed. The modeling of visual sensor, measurement system and data processing are presented. In order to test the accuracy of the multi-sensor visual inspection, an experiment inspecting the straightness of a 1500mm long seamless steel pipe is made. The experiment results show that the visual inspection technique can achieve on-line measurement and offers high precision and stability.

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Development of Eyes Inspection Questionnaire(EIQ) and Regression Analysis between EIQ Items and deficiency or excess patterns of Eyes Inspection (안진(眼診) 설문지 개발 및 안진(眼診) 설문의 허실(虛實) 연관성 연구)

  • Seo, Jae-Ho;Choi, Jin-Yong;Oh, Whan-Sup;Park, Young-Bae;Park, Young-Jae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.18 no.2
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    • pp.75-84
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    • 2014
  • Objectives Eyes, one of visual inspection regions, present important clues to pathological patterns including deficiency and excess patterns to the clinicians. The purpose of this study was to develop Eyes Inspection Questionnaire (EIQ) and to examine which items among the EIQ were more predictive of clinicians' determination for the deficiency and excess patterns. Methods Nine questionnaire items for Visual Inspection of Eyes were extracted through the literature review. These items were presented to the 4 Korean medical doctors who are specialized in visual inspection to conduct the Delphi method. The Korean medical doctors were asked to rate the importance of each items for the corresponding Visual Inspection of Eyes, using a Likert 5-point scale(the 3 points of importance as a cut-off point). Then, out of 75 photographs submitted to the Society of HyungSang Medicine in 2009, 30 portrait pictures were selected as samples. The samples were copied to make 60 sample pictures, and then randomly assigned to 4 clinicians. The 4 clinicians evaluated the 60 samples for excess and deficiency of the eyes and were asked to check the 6 questionnaire items. The results were recorded as 5-points-scale, and their average and standard deviations were calculated. Intra- class reliability test and multi regression test were performed using SPSS 13. Results Intra-class correlation coefficient (ICC) was between 0.750 to 0.841 (P<0.05). Indices for visual inspection of the eyes were: endowment of the bone structure around the eyes; brightness of the eyes; upward deviation of the eyes; eye shapes; and definition of iris. 76.92% of deficiency symptom patterns and 86.42% of the excess symptom patterns matched the patterns predicted by the visual inspection of the eyes, according to the frequency analysis. According to the multiple regression analysis, were significantly related to the excessive symptoms, and to the deficiency symptoms. Conclusion This study is the first attempt of development for checklist of excess and deficiency of Visual Inspection of Eyes and quantitative measurement of excess and deficiency using the Visual Inspection of Eyes by the visual inspection experts. Still, additional studies are needed regarding the relationship visual inspection methods have with existing standards of diagnosis.

A Study on Reliability and Evaluate Deficiency and Excess on Visual Inspection of Eyes (안진(眼診)을 통한 허실(虛實) 평가 및 신뢰도 연구)

  • Seo, Jae-Ho;Choi, Jin-Yong;Oh, Whan-Sup;Park, Young-Bae;Park, Young-Jae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.18 no.1
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    • pp.1-10
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    • 2014
  • Objectives Visual inspection is the first diagnostic method in Oriental medicine, and visual inspection of eyes is the one among them. This study was written in order to complement further understanding on visual inspection of eyes. Methods 1. Out of 102 photographs submitted to the Society of HyungSang Medicine in 2009, 27 portrait pictures were selected as samples in blind by 2 clinicians. The samples were copied to make 54 sample pictures, and then randomly assigned to 4 clinicians. 2. The 4 clinicians evaluated the 54 samples for excess and deficiency of the eyes. The results were recorded as 5-points-scale, and their average and standard deviation was calculated. 3. Intra and inter class reliability test were measured using SPSS 13. Results For intra- and inter-class correlation coefficient (ICC) values were measured as 0.654~0.967 and 0.756~ 0.783 respectively, with the P-value below 0.05. Out of 27 originally selected samples, 7 pictures were selected as Deficiency Samples (with 3 pictures of male and 4 of females), and 20 as Excess Samples (with 4 of male and 16 of female). Among them, Sample No. 1, 9, 22, and 26 were selected as models of 'Excessive Eyes' for females, no. 4 and 5 as 'Very Excessive Eyes' for male and females, and no. 15 as 'Moderate Eyes' for females. Conclusion This study is the first attempt of quantitative measurement of excess and deficiency using the Visual Inspection of eyes by the visual inspection experts. Still, additional studies are needed regarding the relationship visual inspection methods have with existing standards of diagnosis.

Study on Levee Visual Inspection Information System Building Using Mobile Technology

  • Kang, Seung-Hyun;Lee, Jong-Min
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.6
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    • pp.71-76
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    • 2016
  • In this paper, we propose the mobile visual inspection information system using DGPS and portable range finder for levee safety inspection. Instead of existing visual inspection management method that is stored hand-written data, this system is designed to manage directly the visual inspection information using mobile devices in the field of levee. And through extracting accurate DGPS coordinates information about damage location of levee, this system is developed to ensure efficiency for the main task arising from the levee site such as inspection, maintenance and reinforcement. Furthermore, when damage has occurred at the point that inspector is not able to approach, this system can record the damage site data correctly, by converting data such as position, orientation and height of the damage point into the World Geodetic System coordinates. The position, orientation and height data was extracted automatically through the DGPS and portable range finder. And by applying the augmented reality method, this system was implemented for inspector to revisit the point of damage easily in order to perform the management, maintenance and reinforcement of the levee later.

디지탈 화상처리를 이용한 사출제품의 길이측정용 시각검사시스템 개발에 관한 연구

  • 김재열;박환규;오보석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.281-285
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    • 1996
  • In this paper, I made visual inspection system using Vision Board and it is consist of an illuminator (a fluorescent lamp), image input device(CCD(Charge)Coupled Device) camera), image processing system(Vision Board(FARAMVB-02), image output device(videomonitor, printer), a measuring instrument(TELMN1000). Length measurement by visual inspection system is used 100mm gauge block instead of calculating distance between camera and object, it measured horizontal and vertical length factor from 400mm to 650mm by increasing 50mm. In this place, measured horizontal and vertical length factor made use of length measurement of a injection. A measuring instrument used to compare a measured length of a injection visual inspection system with it. In conclusion, length measurement of a injection compared a measuring instrument withvisual inspecion system using length factor of 100mm guage block. Maximum error of length compared two devices a measuring instrument with visual inspection system is 0.55mm. And operation program is made up Borland C++ 3.1. By changing, it is applied to various uses.

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Development of Probability Based Defect Verification Algorithm for Automatic Visual Inspection (자동외관검사를 위한 확률기반 불량 확인 알고리즘 개발)

  • Kim, Youngheub;Ryu, Sun-Joong
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.2
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    • pp.1-8
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    • 2017
  • The visual inspection of electronic parts consists of two steps: automatic visual inspection and verification inspection. In the stage of a verification inspection, the human inspector sequentially inspects all the areas which detected in the automatic inspection. In this study, we propose an algorithm to determine the order of verification inspection by Bayes inference well known in the field of machine learning. This is a method of prioritizing a region estimated to have a high probability of defect using experience data of past inspection. This algorithm was applied to the visual inspection of ultraviolet filters to verify its effectiveness. As a result of the comparison experiment, it was confirmed that the verification inspection can be completed 30% of the conventional method by adapting proposed algorithm.

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The Development of Visual Inspection System for National Road Facility Maintenance Management (국도 시설물 유지관리를 위한 현장점검시스템 개발)

  • 주기범;김태학;박상근
    • Proceedings of the CALSEC Conference
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    • 2003.09a
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    • pp.72-77
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    • 2003
  • Visual inspection works are very important part of facility maintenance and management life cycle as a step of creating base data for decision making and maintenance and repair. But currently, visual inspection works have been performed unefficiently and unreliably as works on hand, duplication of works, decisions of defect state, unutilization of inspection history, lack of professional and so on. In this research, we developed visual inspection system that processes inspection work efficiently and provides reliability of inspection output, as a target of bridges, tunnels, underground roadway on national road. We defined problems through visual inspection work analysis, examined the solutions and reflected to functional design of system. We will plan to utilize this system in HMCS(Highway Maintenance and Construction Service).

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