• 제목/요약/키워드: PC Camera

검색결과 338건 처리시간 0.056초

MTF 방법에 의한 카메라 렌즈 초점 자동 측정 시스템 개발 (Focal Length Measurement System for Camera Lens using the MTF)

  • 이석원;이동성;박희재;문호균;김영식
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.264-270
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    • 1996
  • In this paper, a computer automated system has been developed for measuring the focal length of camera lens using the MTF(Modurar Transfer Function) based on the signal processing around a line CCD and autocollimator. An optical Path for the focal length measurement system has been designed around thelight sourec, collimator, camera, mirror and the line CCD. The eyepiece of the collimator is replaced byline CCD, and the mirror is moved along the focal axis by a PC driven step motor. An efficient method has been designed for finding the optimum MTF value for the focal length based on the least squares approach. The developed system is fullycomputer automated: signal transmission to and from the camera, MTF evaluation based on the line CCD, step motor contorl, etc. The developed system has been applied to a practical camera manufacturing process and demonstrated its performance

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Intelligent Robot Control using Personal Digital Assistants

  • Jaeyong Seo;Kim, Seongjoo;Kim, Yongtaek;Hongtae Jeon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.304-306
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    • 2003
  • In this paper, we propose the intelligent robot control technique for mobile robot using personal digital assistants (PDA). With the proposed technique, the mobile rebot can trace human at regular intervals by the remote control method with PDA. The mobile robot can recognize the distances between it and human whom the robot must follow with both multi-ultrasonic sensors and PC-camera and then, can inference the direction and velocity of itself to keep the given regular distances. In the first place, the mobile robot acquires the information about circumstances using ultrasonic sensor and PC-camera then secondly, transmits the data to PDA using wireless LAN communication. Finally, PDA recognizes the status of circumstances using the fuzzy logic and neural network and gives the command to mobile robot again.

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Tracing Algorithm for Intelligent Snake-like Robot System

  • Choi, Woo-Kyung;Kim, Seong-Joo;Jeon, Hong-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.486-491
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    • 2005
  • There come various types of robot with researches for mobile robot. This paper introduces the multi-joint snake robot having 16 degree of freedom and composing of eight-axis. The biological snake robot uses the forward movement friction and the proposed artificial snake robot uses the un-powered wheel instead of the body of snake. To determine the enable joint angle of each joint, the controller inputs are considered such as color and distance using PC Camera and ultra-sonic sensor module, respectively. The movement method of snake robot is sequential moving from head to tail through body. The target for movement direction is decided by a certain article be displayed in the PC Camera. In moving toward that target, if there is any obstacle then the snake robot can avoid by itself. In this paper, we show the method of snake robot for tracing the target with experiment.

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DSP를 이용한 실시간 영상추적 시스템 구현 (An Implementation on the Real-Time Moving Object Tracking System Using DSP)

  • 최재근;나종인;안도랑;이동욱
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.406-408
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    • 2001
  • In this thesis, a video tracker with a TMS320C31 DSP is designed and implemented. It is intended to work with PC through PCI Bus and can be used in real-time applications. The DSP board is capable of grabbing image data from camera, and calculating the position of a target, and tracking its movement. The tracking situation can be displayed in a PC monitor and displacement of the movement is fed back to pan and tilt the camera. Experimental results show that the tracker implemented here works well in real applications.

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Remote Controlled Robotic Substitute via Internet

  • K, K.-Wong;Akio, Katuki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.96.4-96
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    • 2001
  • A remote controlled robotic system using the Internet is proposed in this paper. The robotic system can for example act as a substitute for a child who is staying in a hospital. Using the proposed robotic system, the bedridden child can easily look around the inside of his/her classroom, and can talk to other people. The proposed robotic system will encourage a bedridden child to maintain his/her study habits. The robotic system has a CCD camera, a speaker, a microphone, and a PC display on the robot main body. An operator also has a CCD camera, a microphone, and a PC display on the operator desk. The two personal computers are connected using the Internet ...

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FPGA를 이용한 고속카메라 시스템 구현 (Designed of High-Speed Camera Using FPGA)

  • 박세훈;신윤수;오태석;김일환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1935-1936
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    • 2008
  • 본 논문은 High speed image를 획득하기 위하여 CMOS Image Sensor를 사용한 고속카메라 구현에 관한 연구이다. Image Sensor로는 CCD Image Sensor와 CMOS Image Sensor가 있으며 CMOS Image Sensor는 CCD Image Sensor에 비해 전력소모가 적고 주변회로의 내장으로 소형화 할 수 있는 장점이 있다. 고속카메라는 충돌 테스트, 에어벡 제어 등의 자동차 분야와 골프 자세 교정 장치와 같은 스포츠 분야, 탄도 방향 측정 장비 등의 국방 분야 등 여러 분야에 많이 사용되고 있다. 본 논문에서 구현한 고속카메라 시스템은 CMOS Image Sensor를 사용하여 1280 * 1024의 해상도로 초당 약 500 frames의 영상을 획득할 수 있다. 또한 CMOS Image Sensor를 제어하고 획득한 이미지를 저장할 수 있도록 FPGA와 DDR2 메모리를 사용하고 저장된 데이터를 PC로 전송하기 위한 Camera Link 모듈 그리고 PC에서 카메라를 제어할 수 있도록 RS-422 통신기능 등으로 구성되었다.

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Intelligent Trace Algorithm of Mobile Robot Using Fuzzy Logic

  • Kim, Jong-Soo;Kim, Seong-Joo;Jeon, Hong-Tae
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.1658-1661
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    • 2002
  • In this paper, we propose the intelligent inference trace algorithm of the mobile robot using fuzzy logic. With the proposed algorithm, the mobile robot can trace human at regular intervals. The mobile robot can recognize the distances between it and human with both multi-ultrasonic sensors and PC-camera and then, can inference the direction and velocity of itself to keep the given regular distances. In the first, the mobile robot acquires the information about circumstances using ultrasonic sensor and PC-camera then secondly, recognize the status of circumstances using the fuzzy logic. We also evaluate the experimental navigation test at several times to verify the ability of the fuzzy logic controller.

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원격 화상 계측 로봇 개발 (A development of remote measurement robot with vision system)

  • 양광용;최현석;현웅근
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2001년도 추계종합학술대회
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    • pp.375-379
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    • 2001
  • 본 논문에서는 원격제어 되는 화상로봇에 대한 개발에 관하여 서술하였다. 개발된 로봇은 크게 로봇 제어부와 Host PC 에서의 Visual I/F program으로 구성되어 있다. 개발된 로봇의 구동부와 Camera의 구동부는 2자유도를 갖고 있으며 유저 친화적으로 개발된 Joystick으로 원격조종된다. 화상 및 명령 센서 데이터 등을 각각 900MHz와 44MHz RF로 통신된다. 개발된 시스템의 효율성을 100m 범위의 야외 시험장에서 운용되어 검사되었다.

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위해환경에서 구동가능한 원격제어 이동 로봇 개발 (A development of remote controlled mobile robot working in a hazard environment)

  • 박제용;최현석;현웅근
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2002년도 추계종합학술대회
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    • pp.457-461
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    • 2002
  • 위해환경에서 동작되는 화상로봇에 대한 개발에 관하여 서술하였다. 개발된 로봇은 크게 로봇 제어부와 Host PC 에서의 Visual I/F program으로 구성되어 있다 개발된 로봇의 구동부와 Camera의 구동부는 2자유도를 갖고 있으며 유저 친화적으로 개발된 Joystick으로 원격조종된다. 외부 상황은 비젼 시스템과 초음파 센서로 인식되며, 화상 및 센서 데이터, 명령어 등을 각각 900MHz와 447MHz RF로 통신된다. 개발된 시스템의 효율성을 100m범위의 야외 시험장에서 운용되어 검사되었다.

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융합 센서 네트워크 정보로 보정된 관성항법센서를 이용한 추측항법의 위치추정 향상에 관한 연구 (Study on the Localization Improvement of the Dead Reckoning using the INS Calibrated by the Fusion Sensor Network Information)

  • 최재영;김성관
    • 제어로봇시스템학회논문지
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    • 제18권8호
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    • pp.744-749
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    • 2012
  • In this paper, we suggest that how to improve an accuracy of mobile robot's localization by using the sensor network information which fuses the machine vision camera, encoder and IMU sensor. The heading value of IMU sensor is measured using terrestrial magnetism sensor which is based on magnetic field. However, this sensor is constantly affected by its surrounding environment. So, we isolated template of ceiling using vision camera to increase the sensor's accuracy when we use IMU sensor; we measured the angles by pattern matching algorithm; and to calibrate IMU sensor, we compared the obtained values with IMU sensor values and the offset value. The values that were used to obtain information on the robot's position which were of Encoder, IMU sensor, angle sensor of vision camera are transferred to the Host PC by wireless network. Then, the Host PC estimates the location of robot using all these values. As a result, we were able to get more accurate information on estimated positions than when using IMU sensor calibration solely.