• Title/Summary/Keyword: Computer vision system

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A Evaluation of Sun Tracking Performance of Parabolic Dish Concentrator using Vision System (비전시스템을 이용한 태양추적시스템의 추적정밀도 평가)

  • 안효진;박영칠
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.408-408
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    • 2000
  • A parabolic dish concentrator used in a high temperature application of solar energy tracks the sun's movement by two axis sun tracking system. In such a system, sun tracking performance affects the system efficiency directly. Generally the higher the tracking accuracy is, the better the system performance is. A large number of parabolic dish type concentrators has been developed and implemented in the world. However none of them clearly provided a qualitative method of how the accuracy of the sun tracking system can be evaluated. The work presented here is the evaluation of sun tracking performance of parabolic dish concentrator, which follows the sun's movement by the sensor, using computer vision system. We install a camera on the parabolic dish concentrator. While the concentrator follows the sun, sun's images are captured continuously. Then the performance of sun tracking system was evaluated by analyzing the variation of the position of the sun in the images.

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Visual Servoing of a Mobile Manipulator Based on Stereo Vision

  • Lee, H.J.;Park, M.G.;Lee, M.C.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.767-771
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    • 2003
  • In this study, stereo vision system is applied to a mobile manipulator for effective tasks. The robot can recognize a target and compute the position of the target using a stereo vision system. While a monocular vision system needs properties such as geometric shape of a target, a stereo vision system enables the robot to find the position of a target without additional information. Many algorithms have been studied and developed for an object recognition. However, most of these approaches have a disadvantage of the complexity of computations and they are inadequate for real-time visual servoing. However, color information is useful for simple recognition in real-time visual servoing. In this paper, we refer to about object recognition using colors, stereo matching method, recovery of 3D space and the visual servoing.

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Visual Servoing of a Mobile Manipulator Based on Stereo Vision (스테레오 영상을 이용한 이동형 머니퓰레이터의 시각제어)

  • Lee Hyun Jeong;Park Min Gyu;Lee Min Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.5
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    • pp.411-417
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    • 2005
  • In this study, stereo vision system is applied to a mobile manipulator for effective tasks. The robot can recognize a target and compute the potion of the target using a stereo vision system. While a monocular vision system needs properties such as geometric shape of a target, a stereo vision system enables the robot to find the position of a target without additional information. Many algorithms have been studied and developed for an object recognition. However, most of these approaches have a disadvantage of the complexity of computations and they are inadequate for real-time visual servoing. Color information is useful for simple recognition in real-time visual servoing. This paper addresses object recognition using colors, stereo matching method to reduce its calculation time, recovery of 3D space and the visual servoing.

The Spinning Right-angle Stereo Vision System to Center the Shifted Object on the 3-Dimensional Image (이동되는 목표물을 3차원 영상에 중심화시키는 회전 직각 스테레오 비젼 시스템)

  • Seo, Choon-Weon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.11
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    • pp.18-27
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    • 2015
  • In this paper, we proposed the spinning right-angle stereo vision system to center the shifted object on 3-dimensional image using a human eyesight-like, and the system is reconstructed with conventional stereo vision system. In this proposed system, the centering results of objects on the 3-dimensional image are very good, and we got the parameter ratios 89~112% for the real measurement values. Therefore, the suggested the spinning right-angle stereo vision system have a high possibilities to be applied to many industrial system parts and to be used for robot system, automatic system, and etc.

Development of Machine Vision System based on PLC (PLC 기반 머신 비전 시스템 개발)

  • Lee, Sang-Back;Park, Tae-Hyoung;Han, Kyung-Sik
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.7
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    • pp.741-749
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    • 2014
  • This paper proposes a machine vision module for PLCs (Programmable Logic Controllers). PLC is the industrial controller most widely used in factory automation system. However most of the machine vision systems are based on PC (Personal Computer). The machine vision system embedded in PLC is required to reduce the cost and improve the convenience of implementation. In this paper, we newly propose a machine vision module based on PLC. The image processing libraries are implemented and integrated with the PLC programming tool. In order to interface the libraries with ladder programming, the ladder instruction set was also designed for each vision library. By use of the developed system, PLC users can implement vision systems easily by ladder programming. The developed system was applied to sample inspection system to verify the performance. The experimental results show that the proposed system can reduce the cost of installing as well as increase the ease-of-implementation.

Linear System Depth Detection using Retro Reflector for Automatic Vision Inspection System (자동 표면 결함검사 시스템에서 Retro 광학계를 이용한 3D 깊이정보 측정방법)

  • Joo, Young Bok
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.4
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    • pp.77-80
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    • 2022
  • Automatic Vision Inspection (AVI) systems automatically detect defect features and measure their sizes via camera vision. It has been populated because of the accuracy and consistency in terms of QC (Quality Control) of inspection processes. Also, it is important to predict the performance of an AVI to meet customer's specification in advance. AVI are usually suffered from false negative and positives. It can be overcome by providing extra information such as 3D depth information. Stereo vision processing has been popular for depth extraction of the 3D images from 2D images. However, stereo vision methods usually take long time to process. In this paper, retro optical system using reflectors is proposed and experimented to overcome the problem. The optical system extracts the depth without special SW processes. The vision sensor and optical components such as illumination and depth detecting module are integrated as a unit. The depth information can be extracted on real-time basis and utilized and can improve the performance of an AVI system.

Spot insepction System for Camera Target Lens using the Computer Aided Vision System (비젼을 이용한 카메라 렌즈 이물질 검사 시스템 개발)

  • 이일환;안우정;박희재;황두현;김왕도
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.271-275
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    • 1996
  • In this paper, an automatic spot inspection system has been developed for camera target lens using the computer aided vision system. The developed system comprises: light source, magnifying optics, vision camera, XY robot, and a PC. An efficient algotithm for the spot detection has been implemented, thus up tof ew micrometer size spots can be effectively identified in real time. The developed system has been fully interfaced with XY robot systenm, PLCs, thus the practical spot inspection system has been implemented. The system has been applied to a practical camera manufacturing process, and showed its efficiency.

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Development of a Ubiquitous Vision System for Location-awareness of Multiple Targets by a Matching Technique for the Identity of a Target;a New Approach

  • Kim, Chi-Ho;You, Bum-Jae;Kim, Hag-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.68-73
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    • 2005
  • Various techniques have been proposed for detection and tracking of targets in order to develop a real-world computer vision system, e.g., visual surveillance systems, intelligent transport systems (ITSs), and so forth. Especially, the idea of distributed vision system is required to realize these techniques in a wide-spread area. In this paper, we develop a ubiquitous vision system for location-awareness of multiple targets. Here, each vision sensor that the system is composed of can perform exact segmentation for a target by color and motion information, and visual tracking for multiple targets in real-time. We construct the ubiquitous vision system as the multiagent system by regarding each vision sensor as the agent (the vision agent). Therefore, we solve matching problem for the identity of a target as handover by protocol-based approach. We propose the identified contract net (ICN) protocol for the approach. The ICN protocol not only is independent of the number of vision agents but also doesn't need calibration between vision agents. Therefore, the ICN protocol raises speed, scalability, and modularity of the system. We adapt the ICN protocol in our ubiquitous vision system that we construct in order to make an experiment. Our ubiquitous vision system shows us reliable results and the ICN protocol is successfully operated through several experiments.

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Stereo-Vision-Based Human-Computer Interaction with Tactile Stimulation

  • Yong, Ho-Joong;Back, Jong-Won;Jang, Tae-Jeong
    • ETRI Journal
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    • v.29 no.3
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    • pp.305-310
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    • 2007
  • If a virtual object in a virtual environment represented by a stereo vision system could be touched by a user with some tactile feeling on his/her fingertip, the sense of reality would be heightened. To create a visual impression as if the user were directly pointing to a desired point on a virtual object with his/her own finger, we need to align virtual space coordinates and physical space coordinates. Also, if there is no tactile feeling when the user touches a virtual object, the virtual object would seem to be a ghost. Therefore, a haptic interface device is required to give some tactile sensation to the user. We have constructed such a human-computer interaction system in the form of a simple virtual reality game using a stereo vision system, a vibro-tactile device module, and two position/orientation sensors.

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Measurement of cutting edge ratio using vision system in grinding (연삭에서 비젼시스템을 이용한 절삭날 면적률의 측정)

  • Yu, Eun-Lee;Sa, Seung-Yun;Ryu, Bong-Hwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.9
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    • pp.1531-1540
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    • 1997
  • Mordern industrial society pursues unmanned system and automation of manufacturing process. Abreast with this tendensy, production of goods which requires advanced accuracy is increasing as well. According to this, the work sensing time of dressing by monitoring and diagnosing the condition of grinding, which is th representative way in accurate manufacturing, is an important work to prevent serious damages which affect grinding process or products by wearing grinding wheel. Computer vision system was composed, so that grinding wheel surface was acquired by CCD camera and the change of cutting edge ratio was measured. Then we used automatic thresholding technique from histogram as a way of dividing grinding cutting edge from grinding surface. As a result, we are trying to approach unmanned system and automation by deciding more accurate time of dressing and by visualizing behavior of grinding wheel by making use of computer vision.