• Title/Summary/Keyword: digital inspection

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Color Characteristic on Tongue Image of Malignant Neoplasm Patients (종양환자의 설 색상 특성에 관한 정량적 연구)

  • Eo Yun-Hye;Kim Ji-Eun;Yoo Hwa-Seung;Park Kyung-Mo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.5
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    • pp.1437-1442
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    • 2005
  • Tongue Diagnosis is the important traditional oriental medical diagnosis method that observes not only the general physiological state but also some kinds of disease. However, manual tongue diagnosis is much influenced by surrounding illumination. Therefore, Digital Tongue Inspection System(DigiTis) is needed for the quantification of objective tongue information, In this research, Tongue images of 98 malignant Neoplasm patients and 34 normal persons were collected by Digital Tongue Inspection System. Statistical analysis of tongue images and patient data indicates that cancer group has more blue-purple components in tongue body(舌質) and yellow components in tongue coating than normal group. Also, there are a lot of rose-pink components in the cancer group of second stage and blue-purple components in the cancer group of third or fourth stage. Our study shows that tongue image is a useful index for distinction between disease and health. Furthermore we need more extended research through the additional sampling and various disease.

Automated condition assessment of concrete bridges with digital imaging

  • Adhikari, Ram S.;Bagchi, Ashutosh;Moselhi, Osama
    • Smart Structures and Systems
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    • v.13 no.6
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    • pp.901-925
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    • 2014
  • The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

Automated Visual Inspection System of Double Gear using Inspection System (더블기어 자동 시각 검사 시스템 실계 및 구현)

  • Lee, Young Kyo;Kim, Young Po
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.4
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    • pp.81-88
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    • 2011
  • Mini Double Gears Frame is critical part of PDP and also produces couple hundred thousand every month. In the process of mass production, product inspection is very important process. Double Gear, one of the part of machine, was inspected by human eyes which caused mistakes and slow progress. To achieve the speed and accuracy the system was compensated by vision system which is inspecting automatically. The focus value is measured based on the fact that high contrast images have much high frequency edge information. High frequency term of the image is extracted using the high-pass filter and the sum of the high frequency term is used as the focus value. We used a Gaussian smoothing filter to reduce the noise and then measures the focus value using the modified Laplacian filter called a Sum modified Laplacian Focus values for the various lens positions are calculated and the position with the maximum focus value is decided as the focused position. The focus values calculated in various lens position showed the Gaussian distribution. We proposed a method to estimate the best focus position using the Gaussian curve fitting. Focus values of the uniform interval lens positions are calculated and the values are used to estimate the Gaussian distribution parameters to find the best focus position.

Hybrid Neural Network Based BGA Solder Joint Inspection Using Digital Tomosynthesis (하이브리드 신경회로망을 이용한 디지털 단층 영상의 BGA 검사)

  • Ko, Kuk-Won;Cho, Hyung-Suck;Kim, Jong-Hyeong;Kim, Hyung-Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.3
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    • pp.246-254
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    • 2001
  • In this paper, we described an approach to the automation of visual inspection of BGA solder joint defects of surface mounted components on printed circuit board by using neural network. Inherently, the BGA solder joints are located underneath its own package body, and this induces a difficulty of taking good image of the solder joints by using conventional imaging systems. To acquire the cross-sectional image of BGA sol-der joint, X-ray cross-sectional imaging method such as laminography and digital tomosynthesis has been cur-rently utilized. However, the cross-sectional image obtained by using laminography or DT methods, has inher-ent blurring effect and artifact. This problem has been a major obstacle to extract suitable features for classifi-cation. To solve this problem, a neural network based classification method is proposed int his paper. The per-formance of the proposed approach is tested on numerous samples of printed circuit boards and compared with that of human inspector. Experimental results reveal that the method provides satisfactory perform-ance and practical usefulness in BGA solder joint inspection.

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A Study on Audit Planning and Evaluation System of Local Finance (지방재정의 감사기획평가체계 연구)

  • Kim, Young-Hun
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.37-53
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    • 2014
  • Audits by local governments help to improve local governments's internal control, diagnose their policies, increase their administrative performance and prevent any Policy errors. But the specialty level of the self-authority audit & inspection is low level. It comes from frequent job rotations which results in disposition of unskilled employees instead of ones having majoring knowledge and practical experience. In order to overcome the aforementioned problems and strengthen the function of the self-audit in local governments, we suggested a new system as a solution by considering various audit environments. This study is to find the problems of local Audit and suggest the new system of self audit evaluation system. Electronic self-authority and inspection system is strengthen the self-authority audit & inspection and ultimately will be making strength the effectiveness of local government performance.

Circuit card inspection method through digital circuit design based AITS

  • Han, Ji-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.8
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    • pp.1-7
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    • 2018
  • Previous test equipment was bulky, took a long time to check, and was somewhat less economical. Since most of the checks were about analog signals, we preferred to check them using reference equipments. In this paper, a digital circuit design based on AITS is used to implement signals that can not utilize commercial measurement resources, and also designed and manufactured equipment that can inspect SRU. These test equipments were tested and evaluated by development, operation, and field evaluation, and they were installed to the Korean Field Force. This contributed to the improvement of operability by shortening the inspection time from 83.2 minutes to 7.8 minutes on average In addition, it did not utilize the reference equipment, so it could play a big role in lowering the mass production cost.

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 digital measurement method for rotational errors of a machine spindle (스핀들 회전 오차 측정의 디지틀 방법에 관한 연구)

  • 공인복;박윤창;김승우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.13 no.3
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    • pp.443-450
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    • 1989
  • A digital testing method for measurement of radial error motions of a spindle is investigated with special emphasis on developing a computer-aided in-situ inspection for machine tool manufacturing. The method utilizes three non-contact type probes and an optical encoder, based on a special computational algorithm to eliminate undesirable offset and roundness errors of the master spindle. Details of the design of hardware and software required to realize the testing method are described. Finally, advantages and limitations of the method are discussed with several test results.

Tele-Operated Mobile Robot for Visual Inspection of a Reactor Head

  • Choi, Chang-Hwan;Jeong, Kyung-Min;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2063-2065
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    • 2003
  • The control rod drive mechanisms in a reactor head are arranged too narrow for a human worker to approach. Moreover, the working environment is in high radiation area. In order to inspect defections in the surfaces of the reactor head and welding parts, a visual inspection device that can approach such a narrow and high radiation area is required. This paper introduces a tele-operated mobile robot for visual inspection of a reactor head, which has pan/tilt camera, fixed rear camera, ultrasonic collision detection system, and so on. Moreover, the host controller and digital video logging system are developed and integrated control software is also developed. The robot is operated by a wireless control, which gives flexibility for the inspection.

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A Defect Inspection Algorithm Using Multi-Resolution Analysis based on Wavelet Transform (웨이블릿 다해상도 분석에 의한 디지털 이미지 결점 검출 알고리즘)

  • Kim, Kyung-Joon;Lee, Chang-Hwan;Kim, Joo-Yong
    • Textile Coloration and Finishing
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    • v.21 no.1
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    • pp.53-58
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    • 2009
  • A real-time inspection system has been developed by combining CCD based image processing algorithm and a standard lighting equipment. The system was tested for defective fabrics showing nozzle contact scratch marks, which were one of the frequently occurring defects. Multi-resolution analysis(MRA) algorithm were used and evaluated according to both their processing time and detection rate. Standard value for defective inspection was the mean of the non-defect image feature. Similarity was decided via comparing standard value with sample image feature value. Totally, we achieved defective inspection accuracy above 95%.