• Title/Summary/Keyword: Machine Vision System

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Development of a Robotic Transplanter for Bedding Plants(I) - Machine Vision System - (육묘용 로봇 이식기의 개발(I) - 기계시각 시스템 -)

  • 류관희;김기영;이희환;황호준
    • Journal of Biosystems Engineering
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    • v.22 no.3
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    • pp.317-324
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    • 1997
  • This study was conducted to develope a machine vision system for a robotic transplanter for bedding plants. Specific objectives of this study were 1) to get coordinates of the healthy seedlings in high-density plug tray, and 2) to get the angle of the leaves of the healthy seedlings to avoid the damage to seedlings by gripper. Results of this study were summarized as follows. (1) The machine vision system of a robotic transplanter was developed. (2) Success rates of detecting empty cell and bad seedlings for 72-cell and 128-cell plug-trays were 98.8% and 94, 9% respectively. (3) Success rates of calculating the angle of leaves fer 72-cell and 128-cell plug-trays were 93.5% and 91.0% respectively.

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Development of a Robotic Transplanter for Bedding Plants (I)-Development of the Machine Vision System of a Robotic Transplanter- (육묘용 로봇 이식기의 개발(I)-로봇 이식기의 기계시각 시스템의 개발-)

  • 류관희;이희환;김기영;황호준
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1997.12a
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    • pp.392-400
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    • 1997
  • This study was conducted to develope the machine vision system of a robotic transplanter for bedding plants. Specific objectives of this study were 1) to get coordinates of the healthy seedlings except empty cells and bad seedlings in high-density plug tray, and 2) to get the angle of the leaves of the healthy seedlings to avoid damage to the seedlings by gripper. The results of this study are summarized as follows. (1) The machine vision system of a robotic transplanter was developed. (2) The success rates of detecting empty cell and bad seedlings in 72-cell and 128-cell plug trays were 98.8% and 94.9% respectively. (3) The success rates of calculating the angle of leaves in 72-cell and 128-cell plug trays were 93.5% and 91.0% respectively.

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Study on the Robot Visual Guidance using Pattern Recognition Technigues (패턴인식기법을 이용한 로봇의 비주얼 가이던스 연구)

  • Kim, Hyo-Je;Sin, Gi-Soo;Kim, Tae-Hwa;Park, Miung-Hwan;Kwon, Soon-Jae
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.479-482
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    • 2005
  • 본 연구는 알루미늄 단조 라인의 가열로 컨베이어에 적용된 6관절 이송용 로봇에 Machine Vision System을 구축 한 것으로 이송용 로봇이 작업 대상물을 적재하기 위한 위치정보를 획득하고 재처리하여 로봇 컨트롤러에 제공하는 비주얼가이던스 기법을 연구하여 이를 적용하였다. 적용된 Machine Vision System이 실제 구동에 있어서 안정함을 확인하였다. Machine Vision System에 적용된 CCD 센서로는 Sony사의 XC-HR50이 적용되었으며 Frame Grabber는 Matrox Meter II 카드가 적용되었다. Machine Vision System 제어기로는 범용PC(2.4Ghz, Windows 2000)를 사용하였으며 제어Software는 Microsoft 사의 Visual Basic 6.0 version을 사용하였다.

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A Study on the Elliptical Gear Inspection System Using Machine Vision (머신비전을 이용한 타원형 기어 검사 시스템에 관한 연구)

  • Park, Jin Joo;Kim, Gi Hwan;Lee, Eung Seok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.1
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    • pp.59-63
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    • 2014
  • Elliptical gears are used in the oval flowmeter and oval flow meter inspects volume of water thanks to space by the elliptical shape. The purpose of this study is to judge accuracy of processing of the elliptical gear and develop inspection system using machine vision. Demand of machine vision is increasing while the factory automation is spreading and principle factor in-process inspection. But, gear inspection using the machine vision rarely used because of complex shape of gear. In this study, it seems possible that elliptical gear is inspected by inspection software using machine vision and inspection program can judge accuracy of processing of the elliptical gear designed this study.

A Study on Strobe Control over LED Lighting System for Machine Vision (머신비전을 위한 LED 조명시스템의 스트로브 제어 구동에 관한 연구)

  • Kim, Tae-Hwa;Lee, Cheon
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.34 no.2
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    • pp.121-125
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    • 2021
  • The machine vision technology has been widely used in the industrialized nations like the United States, Japan, and EU in the various industries from the late 1980s. Machine vision inspection system mainly consists of a camera, optics, illumination and an image acquisition system. Optimization of the illumination light source is very important. This paper shows a comparison between Pulse Width Modulation (PWM) control and strobe control in driving LED lighting system for machine vision. PWM control method has problems such as a temperature rising of LED and a flickering in image measurement for inspection. In contrast, the proposed strobe control method can suppress the temperature of LED light source below 40℃. Also, it can remove the flickering problem through a synchronization between a frame grabber and a camera shutter. Finally, the strobe control method was shown to extract clearer images with a high precision compared to PWM control method.

Development of Mounting System for MLAG Chip using Vision (Vision을 이용한 MLGA Chip 장착시스템 개발)

  • 노병옥;강판식
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.661-665
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    • 2000
  • In this study, the control of mounting system for MLGA package was developed using machine vision for the control of rotating position compensation and mounting position of X-Y table. Two type of material (polymer, alumina )were used for the dielectric insulator of the MLGA. And the illumination system and the algorithm of position compensation that be suitable for these materials was developed. Also, the position control order that compensated by machine vision actuated to micro stepping motor and X-Y servo motor by controlled PC and mounted the MLGA on PCB in resolution to$\pm10\mum$ .

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On-Machine Measurement System Development of Hole Accuracy using Machine Vision (머신비젼을 이용한 구멍 정밀도의 기상측정시스템 개발)

  • Kim, Min-Ho;Kim, Tae-Yeong
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.5
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    • pp.7-13
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    • 2010
  • The integrity and accuracy of the drilling hole are decided by positional error, diameter error, the roundness, the straightness, the cylindericity, size of the burr, the surface roundness and others. Among these parameters, positional error and diameter error have the most important parameters. The diameter error has been widely studied, but there has been little research done about the positional error due to the difficulty of measuring it. The measurement of hole location and diameter would be performed by CMM(Coordinate Measurement Machine). However, the usage of CMM requires much time and cost. In order to overcome the difficulties, we have developed a hole location and diameter error measuring device using machine vision. The developed measurement device attached to a CNC machine can determine hole quality quickly and easily.

A Study on Algorithm for Inspection of Automobile's plastic part locking lever (자동차 플라스틱 부품 락킹레버 검사를 위한 알고리즘 연구)

  • Jang, Bong-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1558-1563
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    • 2010
  • This paper describes a study on algorithm for the development of machine vision system as well as the inspection of automobile's plastic part locking lever to replace a human worker's eye inspection. Before developing the machine vision system based on the PC, the purpose of this research is to develop the algorithm to decide whether a product is a good/bad one in real time inspection. NI-LabVIEW software is used in the inspection method and an inspection program is developed using LabVIEW Vision image functions. The inspection program was built and validated to help the system operator set up the inspection area and change the criteria number in the program.

An Automatic Visual Alignment System for an Exposure System (노광시스템을 위한 자동 정렬 비젼시스템)

  • Cho, Tai-Hoon;Seo, Jae-Yong
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.1 s.18
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    • pp.43-48
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    • 2007
  • For exposure systems, very accurate alignment between the mask and the substrate is indispensable. In this paper, an automatic alignment system using machine vision for exposure systems is described. Machine vision algorithms are described in detail including extraction of an alignment mark's center position and camera calibration. Methods for extracting parameters for alignment are also presented with some compensation techniques to reduce alignment time. Our alignment system was implemented with a vision system and motion control stages. The performance of the alignment system has been extensively tested with satisfactory results. The performance evaluation shows alignment accuracy of lum within total alignment time of about $2{\sim}3$ seconds including stage moving time.

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A Study on Machine Vision System and Camera Modeling with Geometric Distortion (기하학적 왜곡을 고려한 카메라 모델링 및 머신비젼 시스템에 관한 연구)

  • 계중읍
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.4
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    • pp.64-72
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    • 1998
  • This paper a new approach to the design of machine vision technique with a camera modeling that accounts for major sources of geometric distortion, namely, radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to various degrees of decentering , that is , the optical centers of lens design and manufacturing as well as camera assembly. It is our propose to develop the vision system for the pattern recognition and the automatic test of parts and to apply the line of manufacturing. The performance of proposed vision system is illustrated by simulation and experiment.