• Title/Summary/Keyword: Machine vision inspection system

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Development of Non-Contacting Automatic Inspection Technology of Precise Parts (정밀부품의 비접촉 자동검사기술 개발)

  • Lee, Woo-Sung;Han, Sung-Hyun
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.6
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    • pp.110-116
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    • 2007
  • This paper presents a new technique to implement the real-time recognition for shapes and model number of parts based on an active vision approach. The main focus of this paper is to apply a technique of 3D object recognition for non-contacting inspection of the shape and the external form state of precision parts based on the pattern recognition. In the field of computer vision, there have been many kinds of object recognition approaches. And most of these approaches focus on a method of recognition using a given input image (passive vision). It is, however, hard to recognize an object from model objects that have similar aspects each other. Recently, it has been perceived that an active vision is one of hopeful approaches to realize a robust object recognition system. The performance is illustrated by experiment for several parts and models.

Study on the upgrade reliability of inkjet droplet measurement using machine vision (머신비젼을 이용한 잉크젯 드랍 측정 시스템의 신뢰성 향상에 대한 연구)

  • Kim, Dong-Eok;Lee, Jun-Ho;Jeong, Seong-Uk
    • Proceedings of the Optical Society of Korea Conference
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    • 2007.07a
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    • pp.365-366
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    • 2007
  • Micro jetting drop inspection system is essential to measuring micro drop volume. Measuring pico-liter drop volume is useful for new LCD color filter product process that is based on inkjet printing technology. To upgrade the reliability in drop measurement system, we use the auto focusing & multi drop reiteration & blurring average algorism. First of all we used standard mark for gage R&R in the vision system. Finding the most suitable threshold for multi blurring drop, is the main key of this research. Sensitivity of vision system is a standard in measuring the upgrade system level. So, suitable threshold can upgrade the performance of jetting drop inspection system.

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Development of The Flexible User-Friendly Real-Time Machine Vision Inspection System (사용자 중심의 유연한 실시간 머신비전 검사시스템 개발)

  • Cho, In-Sung;Lee, Ji-Hong;Oh, Sang-Jin
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.3
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    • pp.42-50
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    • 2008
  • We developed a visual inspection system for detecting defective products. Most existing inspection systems are designed to be dedicated to one product, which makes operator spend extra money and time to adopt other products. In this work, we propose a flexible visual inspection system that can inspect various products without any additional major job at a low-cost. The developed system contained image processing algorithm libraries and user-friendly graphic interface for adaptable image-based inspection system. We can find a proper threshold value using the proposed algorithm which uses correlation coefficient between a non-defective product and existing sample images of defective product. And We tested the performance of the proposed algorithm using Otsu's method. The proposed system is applied to a automated inspection line for cellular phone.

Bridge Inspection System using Robot (로봇을 이용한 교량검사 시스템 개발에 관한 연구)

  • Lee, An-Yong;Oh, Je-Keun;Choi, Young-Jin
    • The Journal of Korea Robotics Society
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    • v.5 no.1
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    • pp.77-84
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    • 2010
  • This paper proposes a bridge inspection system using a robot to manage the safety status of bridges. A conventional bridge inspection has a lot of problems because inspection is conducted manually by human. As an alternative, we are to develop a robot system having machine vision and this robot system is mounted on an end linkage of specially designed car having seven DOF (Degrees Of Freedom) to inspect cracks beneath bridge. This system is able to check a status of the bridge and record its changes every other year. As a result, the developed robot system offers us the inspection result of quality and reliability about the bridge inspection status. Also, we have tested the effectiveness of the suggested system through outdoor experiments.

The Application of Machine Vision to IC Surface Inspection

  • Chung, Yi-Chan;Tsai, Chih-Hung;Lin, Yu-Tang
    • International Journal of Quality Innovation
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    • v.4 no.2
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    • pp.50-64
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    • 2003
  • During IC inspection, which includes the two parts of Mark and Lead, the deviation of IC on the tape occurring in high speed movements usually generates light reflection effect, which in turn causes errors in IC recognition as measured by machine vision system. This research filters the light reflection effect by developing standard components, identifies the correct position of IC Lead, hence fixes the measurement errors or non-measurability caused by light reflection, avoids the resulting discontinued operation of measuring system, and improves the productivity.

Development of Profile Analysis-based Vision System for Parts Inspection (부품 검사를 위한 프로파일 분석 기반의 비전 시스템 개발)

  • Nam, Swoong-hwan;Kim, Yoon-ho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.5 no.2
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    • pp.74-80
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    • 2012
  • In this paper, we developed the profile analysis-based machine vision system for inspecting assembly parts in the industrial field. Implemented system composed of triple set of camera: one was used for acquiring slant image; other is required to acquire a top image; the other was used for side image. After obtaining parts which have gray scale image, threshold value was calculated by analyzing the profile of the image. Experimental results showed that proposed algorithm have a good performance for detecting fault parts and for classifying each parts as well.

Machine vision system design for inspecting steel bearing balls (베어링 강구 검사용 기계시각 시스템 설계)

  • Park, Su-Woo;Kim, Yoon-Su;Lee, Sang-Ok;Lim, Byung-Hun;Kim, Tae-Gyun;Park, Cheol-Young;Choi, Byung-Jae;Lee, Moon-Rak;Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.17 no.5
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    • pp.338-345
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    • 2008
  • Steel bearing balls are important component in machines having moving parts. In this paper we describe a vision-based automatic inspection system designed for sensing defects on the surface of steel bearing balls. The system has a camera looking down over a rail on which balls roll. Two mirrors are installed at both sides of the rail so that the side parts of a ball can be well inspected. The entire ball surface can be sufficiently seen by taking three images at $120^{\circ}$ rotation interval. Defects are detected by thresholding the difference image between an image captured and the reference image of a good ball.

Machine Vision Inspection System of Micro-Drilling Processes On the Machine Tool (공작기계 상에서 마이크로드릴 공정의 머신비전 검사시스템)

  • Yoon, Hyuk-Sang;Chung, Sung-Chong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.6
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    • pp.867-875
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    • 2004
  • In order to inspect burr geometry and hole quality in micro-drilling processes, a cost-effective method using an image processing and shape from focus (SFF) methods on the machine tool is proposed. A CCD camera with a zoom lens and a novel illumination unit is used in this paper. Since the on-machine vision unit is incorporated with the CNC function of the machine tool, direct measurement and condition monitoring of micro-drilling processes are conducted between drilling processes on the machine tool. Stainless steel and hardened tool steel are used as specimens, as well as twist drills made of carbide are used in experiments. Validity of the developed system is confirmed through experiments.

Primer Coating Inspection System Development for Automotive Windshield Assembly Automation Facilities (자동차 글라스 조립 자동화설비를 위한 프라이머 도포검사 비전시스템 개발)

  • Ju-Young Kim;Soon-Ho Yang;Min-Kyu Kim
    • Journal of Sensor Science and Technology
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    • v.32 no.2
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    • pp.124-130
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    • 2023
  • Implementing flexible production systems in domestic and foreign automotive design parts assembly has increased demand for automation and power reduction. Consequently, transition to a hybrid production method is observed where multiple vehicles are assembled in a single assembly line. Multiple robots, 3D vision sensors, mounting positions, and correction software have complex configurations in the automotive glass mounting system. Hence, automation is required owing to significant difficulty in the assembly process of automobile parts. This study presents a primer lighting and inspection algorithm that is robust to the assembly environment of real automotive design parts using high power 'ㄷ'-shaped LED inclined lighting. Furthermore, a 2D camera was developed in the primer coating inspection system-the core technology of the glass mounting system. A primer application demo line applicable to the actual automobile production line was established using the proposed high power lighting and algorithm. Furthermore, application inspection performance was verified using this demo system. Experimental results verified that the performance of the proposed system exceeded the level required to satisfy the automobile requirements.

Development of Bolt Tap Shape Inspection System Using Computer Vision Technology (컴퓨터 비전 기술을 이용한 볼트 탭 형상 검사 시스템 개발)

  • Park, Yang-Jae
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.303-309
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    • 2018
  • Computer vision technology is a component inspection to obtain a video image from the camera to the machine to perform the capabilities of the human eye with a field of artificial intelligence, and then analyzed by the algorithm to determine to determine the good and bad of production parts It is widely applied. Shape inspection method was used as how to identify the location of the start point and the end point of the search range, measure the height to the line scan method, in such a manner as to determine the presence or absence of the bolt tabs average brightness of the inspection area in a circular scan type value And the degree of similarity was calculated. The total time it takes to test in the test performance tests of two types of bolts tab enables test 300 min, and demonstrated the accuracy and efficiency of the inspection on the production line represented a complete inspection accuracy.