• 제목/요약/키워드: Computer Vision system

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Development of a Sensor System for Real-Time Posture Measurement of Mobile Robots (이동 로봇의 실시간 자세 추정을 위한 센서 시스템의 개발)

  • 이상룡;권승만
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.9
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    • pp.2191-2204
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    • 1993
  • A sensor system has been developed to measure the posture(position and orientation) of mobile robots working in industrial environments. The proposed sensor system consists of a CCD camera, retro-reflective landmarks, a strobe unit and an image processing board. The proposed hardware system can be built in economic price compared to commercial vision systems. The system has the capability of measuring the posture of mobile robots within 60 msec when a 386 personal computer is used as the host computer. The experimental results demonstrated a remarkable performance of the proposed sensor system in the posture measurement of mobile robots - the average error in position is less than 3 mm and the average error in orientation is less than 1.5.

A Study on the Vision-Based Inspection System for Ball-Stud (비전을 이용한 볼-스터드 검사 시스템에 관한 연구)

  • 장영훈;권태종;한창수;문영식
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.12
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    • pp.7-13
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    • 1998
  • In this paper, an automatic ball-stud inspection system has been developed using the computer-aided vision system. Index table has been used to get the rapid measurement and multi-camera has been used to get the high resolution in physical system. Camera calibration was suggested to perform the reliable inspection. Image processing and data analysis algorithms for ball stud inspection system have been investigated and were performed quickly with high accuracy. As a result, inspection system of a ball stud could be used with a high resolution in real time.

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Tabletop workspace with Tangible User Interface using Infrared Vision Sense (위치와 각도를 인지하는 책상형 실체적 인터랙션 개발)

  • Shim, Han-Su
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.50-53
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    • 2006
  • In this paper I present a system that with infrared vision sense tracks the position and orientation of a wireless object on a tabletop display surface. The system offers two types of improvements over existing computer vision tracking approaches. First, the system tracks an object accurately without susceptibility to changes in lighting conditions. Second, the system tracks not only the orientation but button click state of the object. This system can detect these changes in real time. Finally, I present an application of the system : Color Lab Box.

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A Novel Depth Measurement Technique for Collision Avoidance Mobile Robot (이동로봇의 장애물과의 충돌방지를 위한 새로운 3차원 거리 인식 방법)

  • 송재홍;나상익;김형석
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.291-294
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    • 2002
  • A simple computer vision technology to measure the middle-ranged depth with mono camera and plain mirror is proposed The proposed system is structured wiか the rotating mirror in front of the fixed mono camera In contrast to the previous stereo vision system in which the disparity of the closer object is larger than that of the distant object, the pixel movement caused by the rotating mirror is bigger for the pixels of the distant object in the proposed system Being inspired by such feature in the proposed system the principle of the depth measurement based on the relation of the pixel movement and the distance of object have been investigated. Also, the factors to influence the precision of the measurement are analysed The benefits of the proposed system are low price and less chance of occlusion. The robustness for practical usage is an additional benefit of the proposed vision system.

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Implementation of Vision-based Wild Bird Detection and Repelling System using RaspberryPi (라즈베리파이를 활용한 비전기반 야생조류 침입 탐지 및 퇴치 시스템의 구현)

  • Lee, Cheol-won;Na, Daeyoung;Muminov, Azamjon;Karimov, Botirjon;Jeon, Heung Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.507-508
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    • 2018
  • 본 논문에서는 라즈베리파이를 활용하여 야생조류의 행동에 반응하는 비전기반 야생조류 퇴치 장치를 구현하였다. 저가형 라즈베리파이 보드를 기반으로 카메라센서와 OpenCV 모션탐지기법을 활용하여 야생조류의 침입을 탐지하고, 그리고 야생조류가 소리별로 반응하는 데이터를 누적시키는 방법을 활용하여 효율적으로 퇴치하도록 개발하였다. 성능평가는 야생 직박구리와 박새를 포획하여 야외 실험장에서 진행하였고 실제 환경에서도 야생조류를 퇴치할 수 있다는 결과를 보여준다.

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Drawing Tool with Vision-Based Tracking System (저가의 비전 기반 트래킹 시스템을 이용한 그림 툴)

  • Lee, Ju-Young;Hu, Haejung;Park, Mijung;Lee, Sunkyu;Seo, Minyoung;Yoo, Juhee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.07a
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    • pp.295-296
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    • 2012
  • 그림 툴은 실시간 비디오 영상 스트림과 트래킹 시스템을 통해 사용자의 손가락 움직임의 입력을 받아 가상의 오브젝트들을 그려서 보여주는 툴이다. 핵심개발기술은 병렬처리언어인 CUDA사용하여 개발된 저가의 비전 기반 트래킹 시스템이다. 저가의 트래킹 시스템과 그림툴의 설계, 구현, 앞으로의 발전 방향에 대해 설명한다.

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Surface Inspection System of Bearing Inner/Outer Race using Machine Vision (비전을 이용한 베어링 내/외륜 면취 검사 시스템)

  • Yoon Ju-Young;Lee Young-Choon;Pang Doo-Yeol;Lee Seong-Cheol
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.309-310
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    • 2006
  • This paper is about the development of surface inspection of bearing inner and outer race using machine vision. Before this system is developed, most inspections are performed by workers' naked eye. To improve both the inconvenience and incorrectness, another new tester is introduced. This system has the three sections mainly. First one is the mechanism section which transfers bearing manufactured from previous process line to the testing process in plant. Another is the inspection system which is composed of two parts: computer vision and measurement system using laser diode which inspects the defects of the bearing inner or outer race. The other is the pneumatic cylinder part controlled by Programmable Logic Controller(PLC). The system which is developed shows favorable results, and that has the advantage of convenience and correctness compared to previous system.

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Measurement of the Underpipe Diameter by using Computer Vision (컴퓨터비전을 이용한 지중관로의 직경 측정)

  • Kim, Gibom;Cho, Sungman;Joo, Wonjong
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.26 no.2
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    • pp.251-256
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    • 2017
  • This study developed an image processing system for detecting damages on underground spiral PVC pipes. The detection method is simple-identifying damaged areas by measuring circularity along the pipeline. This uses the assumption that damage parts will not make a circular shape. Conventional devices check the circular shape of the pipe along the pipeline by measuring the angles between 6 spring-connected legs on the device. The conventional device, however, requires the insertion of 3 different wires (electrical, communication, and camera lines) along with a guide wire for pulling the device. The developed system presented here has simplified this system, requiring only a camera line while maintaining reasonable accuracy in damage detection.

A Study on Risk Situation Recognition Using OpenCV (OpenCV를 활용한 위험 상황 인식에 관한 연구)

  • Kim, Dong-Hyun;Kim, Seong-Yeol
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.211-218
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    • 2021
  • Construction sites have various risk factors. There are various approaches to reduce safety accidents, but they have limitations to some extent. By utilizing the wireless communication technology of IT and the rapidly developing image processing technology, it will be possible to reduce accidents at the construction site if risk factors are identified and actively responded to. Therefore, in this study, a system that can detect risk factors of construction sites in advance is constructed, and a system is proposed to discover and respond to risk factors of construction sites using OpenCV for the purpose of real-time computer vision.

An Automated Projection Welding System using Vision Processing Technique (영상인식 기술을 이용한 프로젝션용접 자동화시스템)

  • Park, Ki-Jung;Song, Ha-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.4
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    • pp.517-522
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    • 2011
  • Conventional projection welding systems suffer from lots of defective products caused by manual handling. In this paper, we introduce a projection welding system that performs automatic identification, welding and counting of components and products. The proposed system checks the existence and identifies placement of components to be welded by a vision camera. After welding of the components, it automatically updates product counts and dressing items. We show that the proposed welding system can reduce the defect rate and improve the productivity through experimental test with a existing system.