• Title/Summary/Keyword: Image Inspection

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Research on the Ammunition Automatic Test Algorithm for Improving Safety & Reliability of 40mm Grenade(K212) Fuze (40mm 고속유탄(K212) 신관의 안전성 및 신뢰성 강화를 위한 탄약 자동화검사 알고리즘에 관한 연구)

  • Ju, Jin-Chun;Kweon, Mee-Sun;Kim, Sang-Min;Ahn, Nam-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.14-22
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    • 2016
  • Because fuses have many parts, human error can occur during visual inspections. This paper proposes an automatic ammunition test algorithm for preventing human error during an inspection. The automatic ammunition test algorithm consists of the following three steps. First, the image input and preprocessing step is where an inspection image is rotated using an image rotation algorithm and the image is converted to a binary image. Second, the inspection step of arming determines if the ammunition is armed using Masked Template Matching algorithm, etc. Third, the inspection step of the parts determines if the parts are omitted using an image searching algorithm, etc. The arming or parts omission of the fuse are detected efficiently using the ammunition automatic test algorithm. The ammunition automatic test algorithm is expected to help improve the safety and reliability of 40 mm grenade fuse.

Automatic TFT-LCD Mura Defect Detection using Gabor Wavelet Transform and DCT (가버 웨이블렛 변환 및 DCT를 이용한 자동 TFT-LCD 패널 얼룩 검출)

  • Cho, Sang-Hyun;Kang, Hang-Bong
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.525-534
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    • 2013
  • Recently, mura defect inspection techniques are receiving attention in LCD production procedure since demands of TFT-LCD are growing. In this paper, we propose an automatic mura defect inspection method using gabor wavelet transform and DCT. First, we generate a reference panel image using DCT based method. For original panel image and generated reference panel image, we apply a gabor wavelet transform to eliminate texture information in images. Then, we extract mura defect regions from the difference image between gabor wavelet transform image of original panel and generated reference panel image. Finally, all mura defect regions are quantified to detect accurate mura defects. Experimental results show that our method is more accurate and efficient than previous methods.

Inspection System of Electric Vehicle Battery Plate Using Image Processing (영상처리를 이용한 전기자동차 배터리 극판의 검사 시스템)

  • Shin, Dongwon;Jin, Byeong-Ju;Yoon, Jang-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.7
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    • pp.718-723
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    • 2014
  • In this paper, we developed the inspection system of electric vehicle battery plate using image processing. Four cameras are used for acquiring the principal parts of the plate, and several steps of image processing for extracting significant dimensions of the plate such as widths and lengths. As a preceding step, calibration of four cameras is carried for compensating distorted images using dot-arrayed sheet. Coordinate systems for four cameras are defined where one coordinate system is assigned to the reference coordinate system to which the others are relatively described. Line information of the edge in the windowed image is extracted using elaborate edge-detection algorithm, and finally the intersection points between lines are extracted to calculate widths and lengths of the plate from which the error status of the battery plate is decided.

Availability evaluation of automatic inspection equipment using line scan camera for concrete lining (라인스캔 카메라를 이용한 콘크리트 라이닝 자동점검진단 장비 활용성 평가)

  • Lee, Gyu-Phil;Lim, Hyung-Joon;Kim, Jeong-Heum
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.22 no.6
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    • pp.643-653
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    • 2020
  • The concrete lining inspection by inspector after traffic control poses various problems such as congestion caused by traffic control and social loss costs resulting from it, and risks of traffic accidents and safety accidents for inspectors et al. To solve the problems, the concrete lining inspection has been carried out using automatic inspection equipment and image analysis that can be objectively and quantitatively investigated in overseas. In this study, to solve the problems of concrete lining inspection by inspector and to review improvement plan for inspection, inspection was carried out using automatic inspection equipment for ◯◯ tunnel that precision safety diagnosis has been conducted in 2019. Analysis was carried out for both inspection results. Automatic inspection equipment investigated defects in concrete lining such as cracks more accurately than precision safety diagnosis.

Development of System based on Digital Image Processing for Precision Measurement of Micro Spring (초소형 스프링 정밀 측정을 위한 디지털 영상 처리 시스템 개발)

  • 표창률;강성훈;전병희
    • Transactions of Materials Processing
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    • v.11 no.7
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    • pp.620-627
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    • 2002
  • The purpose of this paper is the development of an automated measurement system for micro spring based on the digital image processing technique. This micro spring can be used in various engineering applications such as filament, load bearing springs, hard disk suspension and many others. Main functionality of the micro spring inspection system is to measure the representative pitch of the micro spring. The derivative operators are used for edge detection in gray level image. Measurement system developed in this paper consisted of new auto feeding mechanism to take advantage of air pressure. In the process of development of the micro spring inspection system based on the image processing and analysis, strong background technology and know-how have been accumulated to measure micro mechanical parts.

A Study on an Inspection System of Repeated Pattern in PDP panel

  • Jung, Ji-Hun;Nam, Sang-woon;Hwang, Yong-Ha;Park, Yong-June;Kang, Tea-Kyu;Jeong, Dea-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.126-131
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    • 2004
  • The popularity of flat-panel display(FPD), including plasma display panel(PDP) and liquid-crystal display(LCD), has given rise to the need to streamline their production. In these days, PDP is one of the most popular display devices because of its expansion of manufacturing process and simplicity. Bus electrodes, sustain electrodes, barrier ribs and RGB phosphors are patterned on PDP panel to display an image. Since a minute damage on the pattern can cause a serious defect to display, it is important to inspect the pattern precisely. In this paper, an automatic inspection system of repeated pattern in PDP panel has been introduced to find the defect, such as open, short, dirt, island, and so on. And the inspection system has been operated in the mass production line of PDP.

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

  • Tucit, Joselito;Jung, Ho;Jang, Bong-Choon
    • Proceedings of the KAIS Fall Conference
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    • 2007.05a
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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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Placement inspection of the SMT components using 3-D vision (시각센서를 이용한 SMT 부품장착상태 검사)

  • 손영탁;오형렬;윤한종
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.605-608
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    • 1996
  • The aim of this thesis is to develop a SMT-components placement inspection system equipped with a visual sensor. The visual sensor, which consists of a camera and 2-layer LED illuminator, developed to inspect the component placement state such as missing, shift, flipping, polarity and tomb-stone. on PCB in the reflow-process. In practical applications, however, it is too hard to classify component from images mixed pad on PCB, cream solder paste and component. To overcome the problem, this thesis proposes the 2-layer illumination method and the heuristic image processing algorithms according to inspection type. To show the effectiveness of the proposed approach, a series of experiments on the inspection were conducted. The results show that the proposed method is robust to visual noise and variations in component conditions.

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A Study on the Detection of Surface Defect Using Image Modeling (영상모델링을 이용한 표면결함검출에 관한 연구)

  • 목종수;사승윤;김광래;유봉환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.444-449
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    • 1996
  • The semiconductor, which is precision product, requires many inspection processes. The surface conditions of the semiconductor chip affect on the functions of the semiconductors. The defects of the chip surface are cracks or voids. As general inspection method requires many inspection procedure, the inspection system which searches immediately and precisely the defects of the semiconductor chip surface is required. We suggest the detection algorithm for inspecting the surface defects of the semiconductor surface. The proposed algorithm first regards the semiconductor surface as random texture and point spread function, and secondly presents the character of texture by linear estimation theorem. This paper assumes that the gray level of each pixel of an image is estimated from a weighted sum of gray levels of its neighbor pixels by linear estimation theorem. The weight coefficients are determined so that the mean square error is minimized. The obtained estimation window(two-dimensional estimation window) characterizes the surface texture of semiconductor and is used to discriminate the defects of semiconductor surface.

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Inspection of Diamond Wheel through Boundary Detection and Processing (경계 추출 및 처리를 통한 다이아몬드 휠 검사)

  • Ha, Jong-Eun
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.11
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    • pp.932-936
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    • 2016
  • In this paper, we present a method for the inspection of diamond wheels. In total, six items, including height, radius, and angle, need to be checked during the manufacturing of a diamond wheel. Automatic inspection through image processing is presented in this paper. First, a contour corresponding to the boundary of the diamond wheel is extracted from an image. Next, control points are selected by processing the contour. Seven control points are detected and used for the computation of the required item. Detailed procedures for the computation of the height, radius, and angle using control points are presented in this paper. Experimental results show the feasibility of the presented method.