• Title/Summary/Keyword: digital inspection

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A Study on Inspection Reliability Evaluation of Electric Rice Cooker FCT Inspection Automation System (전기밥솥 FCT 검사 자동화 System의 검사 신뢰성 평가에 관한 연구)

  • Jeong, Hae-Jin;Lee, Jong-Chan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.6
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    • pp.30-35
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    • 2022
  • This study has focused on the reliability evaluation of FCT inspection automation equipment for electric rice. To evaluate the reliability of FCT inspection automation equipment, voice analysis, Gray/R/G/B channel experiment, FND segment experiment, and robot position repeatability were performed. In the voice analysis experiment, the comparison value between the recorded and digital output waves was over 99%, indicating a very high result. It was confirmed that both the gray/R/G/B experiment using vision and the FND segment could confirm the output value of the product through vision. The position repeatability of the robot is also excellent, so it is concluded that the inspection effect through the FCT automation system will be excellent.

Study on the Image Quality Comparison between in Digital RT and Film RT (용접부에 대한 디지털 방사선투과영상과 필름 방사선투과영상의 상질 비교에 관한 연구)

  • Park, Sang-Ki;Ahn, Yean-Shik;Gil, Doo-Song
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.4
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    • pp.391-397
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    • 2011
  • Conventional film radiographic test has been generally and widely used in the inspection on the weldment for quality assurance. On the other hand, since the analog RT is well known for typical time and cost consuming method with complex process of inspection, the industry has researched various ways how to improve radiographic test technology. In this study, we verified the fact that digital RT provides a lot more benefit in effectively detecting defects, ever film details, through digital processing of image enhancement, compared to film RT. As a result, we reached conclusion that digital RT is positively able to replace the film RT in industry in part or in whole.

Advanced Process Technique for Field Check Data Editing and Structured Editing on Digital Map Ver2.0, Applying Automatic Error Detection Method (자동 오류검출 방법을 적용한 수치지도 Ver2.0 정위치 및 구조화 편집 공정개선 연구)

  • Lee Jin Soo;Park Chang Taek;Park Ki Surk
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.3
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    • pp.331-340
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    • 2005
  • Digital map is very important digital geographic information which is the base for various fields such as building and using the geographic information system (GIS), planing the regional development, and etc. Therefore, it needs high accuracy. Then we offer the advanced technique which minimizes errors on digital maps, using the automated inspection through the whole figures. In addition this new technique raises the economical efficiency as well as accuracy applying the automated error detection method which can recognize, search and classify errors automatically.

Evaluating the Accuracy of an OpenCV-Based Length Measurement Algorithm: The Impact of Checkerboard Type and Capturing Conditions (체커보드 종류 및 촬영조건에 따른 OpenCV 기반 길이측정 알고리즘 정확도 분석)

  • Kim, Hyeonmin;Kwon, Woobin;Kim, Harim;Kim, Hyungjun;Song, Seung Ho;Cho, Hunhee
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.1
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    • pp.133-144
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    • 2024
  • The OpenCV-based length measurement algorithm is anticipated to be effective for length measurement inspection tasks, providing objective inspection outcomes. Nonetheless, there is a notable gap in research regarding the influence of various checkerboard types and capturing conditions on the algorithm's accuracy in real-world construction settings. Consequently, this study proposes a methodology employing an OpenCV-based length measurement algorithm and checkerboard for digital construction inspection tasks. The findings suggest that using a checkerboard with square sizes of A4 or larger, and 50mm or larger, is optimal for capturing distances and angles within 4m and 90°, respectively, when deploying the algorithm. These insights are anticipated to provide practical guidelines for professionals conducting digital-based length measurement inspections.

Development of electric vehicle maintenance education ability using digital twin technology and VR

  • Lee, Sang-Hyun;Jung, Byeong-Soo
    • International Journal of Advanced Culture Technology
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    • v.8 no.2
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    • pp.58-67
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    • 2020
  • In this paper, the maintenance training manual of EV vehicle was produced by utilizing digital twin technology and various sensors such as IR-based light house tracking and head tracker. In addition, through digital twin technology and VR to provide high immersiveness to users, sensory content creation technology was secured through animation and effect realization suitable for EV vehicle maintenance situation. EV vehicle maintenance training manual is 3D engine programming and real-time creation of 3D objects and minimization of screen obstacles and selection of specific menus in virtual space in the form of training simulation. In addition, automatic output from the Head Mount Display (HUD), EV vehicle maintenance and inspection, etc., user can easily operate content was produced. This technology development can enhance immersion to users through implementation of detailed scenarios for maintenance / inspection of EV vehicles" and 3D parts display by procedure, realization of animations and effects for maintenance situations. Through this study, familiarity with improving the quality of education and safety accidents and correct maintenance process and the experienced person was very helpful in learning how to use equipment naturally and how to maintain EV vehicles.

A Study on Quality Control for Medical Image by Using Deviation Index of Digital Radiology (디지털 방사선 영상의 편차지수를 이용한 의료영상 품질관리에 관한 연구)

  • Jeong, Hoi-Woun;Min, Jung-Whan
    • Journal of radiological science and technology
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    • v.43 no.2
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    • pp.115-121
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    • 2020
  • In a digital radiation system using a Flat Panel Detector, we attempted to the quality control of digital radiography system using the Exposure Index and Deviation Index. Calibration was performed with the radiation quality suggested by the International Electrotechnical Commission, and through an experiment using a phantom, appropriate inspection radiation conditions applicable to medical institutions were selected. The study was conducted using the selected radiation conditions. Through those chest posterior anterior image, information such as examination conditions and exposure index was obtained. The deviation index was derived by analyzing the exposure index based on the target exposure index calculated by the phantom study. As for the analyzed exposure index, 97.1% was distributed within the range of ± 2.0 based on the deviation index. Quality control of medical images should be performed through management of inspection conditions through exposure index and deviation index and management of medical images.

Development of Computer Based Ultrasonic Flaw Detector for Nondestructive Testing (컴퓨터 내장형 비파괴검사용 초음파탐상기 개발)

  • Lee, Weon-Heum;Kim, J.K.;Kim, Y.R.;Choi, K.S.;Kim, S.H.;Lee, S.H.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.17 no.2
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    • pp.108-113
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    • 1997
  • Ultrasonic testing is one of the most widely used method of nondestructive testing for pre-service inspection(PSI) & in-service inspection(ISI) in structures of bridges, power plants, chemical plants & heavy industrial fields. It is very important to estimate safety, life, quality of structures. Also, a lot of research for quantities evaluation & analyses inspection data is proceeding. But traditional portable ultrasonic flaw detector had been following disadvantages. 1) Analog ultrasonic flaw detector decreased credibility of ultrasonic test, because it is impossible for saving data & digital signal processing. 2) Stand-alone digital ultrasonic flaw detector cannot effectively evaluate received signals because of lack of its storage memory. To overcome this shortcoming, we develop the computer based ultrasonic flaw detector for nondestructive testing. It can store the received signal and effectively evaluate the signal, and then enhance the reliability of the testing results.

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Used the Computer Vision System Develop of Algorithm for Aluminium Mill Strip Defect Inspection (컴퓨터 비젼 시스템을 이용한 알루미늄표면 검사 알고리즘 개발)

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    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.115-120
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    • 2000
  • This study is on the application the image processing algorithm for inspection of the aluminium mill strip surface defect. The image of surface defect data was obtained using the CCD camera with the digital signal board. The edge was found from the difference of pixel intensity between the normal image and defect image. Two step were taken to find the edge in the image processing algorithm. First, noise was removed by using the median filter in the image. Second, the edge was sharpened in detail by using the sharpening convolution filter in the image. Canny algorithm was used to defect the exact edge. The defect section was separated from the original image is to find the coordination point p1 and p2 which include the defect image

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Development of Inspection Gauge System for Gas Pipeline

  • Han, Hyung-Seok;Yu, Jae-Jong;Park, Chan-Gook;Lee, Jang-Gyu
    • Journal of Mechanical Science and Technology
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    • v.18 no.3
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    • pp.370-378
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    • 2004
  • An autonomous pipeline inspection gauge system has been developed for determining position, orientation, curvature, and deformations such as dents and wrinkles of operating pipelines by Korea Gas Company and Seoul National University. The most important part of several subsystems is the Strapdown Inertial Measurement Unit (SIMU), which is integrated with velocity and distance sensors, weld detection system, and digital recording device. The Geometry Pipeline Inspection Gauge (GeoPIG) is designed to operate continuously and autonomously for a week or longer in operating gas pipelines. In this paper, the design concepts, system integration, and data processing/analysis method for the PIG will be presented. Results from the recent experiment for a 58 kilometer gas pipeline will be discussed.

A Study on the Crack Inspection Model of Old Buildings Based on Image Classification (이미지 분류 기반 노후 건축물 균열 검사 모델 연구)

  • Chae, Jong-Taek;Lee, Ung-Kyun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.331-332
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    • 2023
  • With the aging of buildings, the number and importance of regular inspections of buildings are increasing. The current safety inspection goes through a procedure in which a skilled technician visits an old building, visually checks it, takes a photo, and finally organizes and judges it at the office. For this, field personnel and analysis and review personnel are required. Since the inspection procedure includes taking pictures, a huge amount of data has been accumulated from the time digital photos were used to the present. When a model that can check cracks outside a building is developed using these data, manpower and time required can be greatly reduced. Therefore, this study aims to create a model for classifying cracks that occur outside the building through the artificial intelligence method. The created model can be used as a basic model for determining cracks only by external photography in the future, and furthermore, it can be used as basic data for calculating the size and width of cracks.

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