• Title/Summary/Keyword: PC camera

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Development of Network Camera-based Instant Messenger (네트워크 카메라 기반 인스턴트 메신저의 개발에 대한 연구)

  • Lee, Kang-Seok;Yum, Chang-Sun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.2
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    • pp.133-139
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    • 2010
  • PC camera-based instant messenger have problems of video image break/delay and noise. The reason is caused by a composed problem that PC Camera is belong to the connected PC and operating in the PC. This research suggests an instant messenger that uses network camera connected to LAN instead of PC camera. Therefore, the instant messenger has a component that the camera is separated from PC. This research designs sequence diagram, video calls flow chart, and graphic user interface of the instant messenger. The instant messenger based on network camera provides high quality video calls service and makes it possible to call from a special remote site with real-time video image.

Design and Implementation of Driving System for Face Tracking Camera using Fuzzy Control (퍼지제어를 이용한 얼굴추적 카메라 구동 시스템의 설계 및 구현)

  • 이종배;임준홍
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.3
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    • pp.127-134
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    • 2003
  • In this paper, the speed control problem of moving camera is investigated for tracking the movement of the human-face. The camera system with pan-tilt mechanism sends an image to PC and PC sends back tracking coordinate to the camera. Then the camera tracks a human face in real time. The speed of the stepping motors for moving the camera must be controlled to the target region fast enough and smoothly, In this paper, a fuzzy logic controller is proposed for driving step motors. By creating driving acceleration and deceleration speed Profile, the speed of the motors is controled fast and smoothly. Experiments are performed to show the effectiveness of the proposed method.

Recognition of Finger Language using Image from PC Camera (PC 카메라에서 추출한 이미지를 이용한 수화인식)

  • Lee, Byoung-Hwan;Lee, Kee-Seong
    • Proceedings of the KIEE Conference
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    • 2004.05a
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    • pp.102-104
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    • 2004
  • Finger language is a typical tool for deaf persons. But learning the finger language for non-handicapped persons is very difficult. To overcome these difficulties, a new communication method using visual function is developed recently. Even though the developed system uses the visual function, it needs expensive equipments such as camera and computer. To be used in the real environments, the cost of equipments is a critical factor. If the recognition system for the finger language can be developed with low price equipments, the system can be used in the notebook or cellular phone. The image captured by PC camera was processed by preprocessing algorithm. To recognize the finger language, the resulting image was divide into $5{\times}5$ sections. The recognition system uses a similarity method and position information. The simulation results shows the effectiveness of the proposed algorithm.

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Automatic Titration Using PC Camera in Volatile Basic Nitrogen Analysis by Microdiffusion Method (미량확산법에 의한 휘발성염기질소 분석에서 PC카메라를 이용한 자동적정)

  • Lee, Hyeong-Choon
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.34 no.1
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    • pp.135-137
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    • 2005
  • A PC-based automatic system was developed for automatic titration in volatile basic nitrogen analysis by the microdiffusion method. The system used a CCD-type PC camera for the automatic detection of the titration end point. The camera checked whether the green value of a pixel on the red image of titrated solution became greater than the red value. The data from the automatic titration using the system were not significantly different (p>0.05) from those taken by manual titration. The agreement between means of data from manual titration and those from automatic titration was good.

PC-Camera based Monitoring for Unattended NC Machining (무인가공을 위한 PC 카메라 기반의 모니터링)

  • Song, Shi-Yong;Ko, Key-Hoon;Choi, Byoung-Kyu
    • IE interfaces
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    • v.19 no.1
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    • pp.43-52
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    • 2006
  • In order to make best use of NC machine tools with minimal labor costs, they need to be in operation 24 hours a day without being attended by human operators except for setup and tool changes. Thus, unattended machining is becoming a dream of every modern machine shop. However, without a proper mechanism for real-time monitoring of the machining processes, unattended machine could lead to a disaster. Investigated in this paper are ways to using PC camera as a real-time monitoring system for unattended NC milling operations. This study defined five machining states READY, NORMAL MACHINING, ABNORMAL MACHINING, COLLISION and END-OF-MACHINING and modeled them with DEVS (discrete event system) formalism. An image change detection algorithm has been developed to detect the table movements and a flame and smoke detection algorithm to detect unstable cutting process. Spindle on/off and cutting status could be successfully detected from the sound signals. Initial experimentation shows that the PC camera could be used as a reliable monitoring system for unattended NC machining.

Automatic Counting of Yeast Cells in Baker's Yeast Culture Using PC Camera and Conventional Light Microscope (PC카메라와 일반광학현미경을 이용한 빵효모 배양액의 효모세포 자동계수)

  • Lee, Hyeong-Choon
    • KSBB Journal
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    • v.26 no.1
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    • pp.87-91
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    • 2011
  • Automatic counting of yeast cells in baker's yeast culture was tried using a conventional light microscope equipped with a pc camera. Relatively good binary image was obtained by using white LED as microscope light source, but uneven brightness distribution in original image hindered counting accuracy. A block binarization method using local thresholds proportional to local brightnesses was used to get improved binary images. The brightnesses of the blocks were expressed as the value component in HSV color model. Good quality binary images were obtained by binarization on $8{\times}6$ blocks of original images and connected-component labelling of the binarized images produced reliable counting results in the concentration range $1.4{\times}10^5/mL{\sim}1.4{\times}10^7\;cells/mL$.

Development of Analysis Module for Marine Traffic Information Using PC Camera

  • Moon Serng-Bae;Lee Geun-Sil;Jun Seung-Hwan
    • Journal of Navigation and Port Research
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    • v.29 no.4
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    • pp.313-318
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    • 2005
  • Usually marine traffic survey has been conducted by some methods like an ocular observation using portable RADAR, a questionnaire, etc. But these should have expended a lot of manpower and expenses. In this paper, we have developed new observation module which could capture the RADAR image using PC camera simply, and allowed as to track targets on the PC monitor directly. And it has been programmed to make a database of RADAR image, target's track and information, and analyze the marine traffic tendency in various ways like vessel number crossed over gate line, vessel's velocity distribution in gate line, traffic density distribution, etc. We have confirmed that this module could observe and analyze the marine traffic efficiently and economically through several on-the-spot experiments.

Moving Object Tracking using Fuzzy Control of Stereo Camera System (퍼지제어를 이용한 이동 물체 추적 스테레오 카메라 시스템)

  • Yeom, Seung-Hoon;Yoo, Je-Yeon;Kim, Jin-Hwan;Huh, Uk-Youl
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.8
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    • pp.1436-1440
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    • 2010
  • In this paper, we proposed that stereo camera system using fuzzy control for moving object tracking. We extract some features of the moving object from overall image. This informations send to the PC and the PC calculate the coordinate of the object in the image frame. To make the object set in the middle of the image, the step motor should be controlled accurately and rapidly with the location information received by the PC. Then we design a fuzzy logic system for controlling stereo camera system. To verify the better performance of the proposed algorithm, we exemplified by experimental results.

Facial Feature Tracking from a General USB PC Camera (범용 USB PC 카메라를 이용한 얼굴 특징점의 추적)

  • 양정석;이칠우
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.412-414
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    • 2001
  • In this paper, we describe an real-time facial feature tracker. We only used a general USB PC Camera without a frame grabber. The system has achieved a rate of 8+ frames/second without any low-level library support. It tracks pupils, nostrils and corners of the lip. The signal from USB Camera is YUV 4:2:0 vertical Format. we converted the signal into RGB color model to display the image and We interpolated V channel of the signal to be used for extracting a facial region. and we analysis 2D blob features in the Y channel, the luminance of the image with geometric restriction to locate each facial feature within the detected facial region. Our method is so simple and intuitive that we can make the system work in real-time.

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A Study on Monitoring Technique for Home Server based on Web Camera (웹 카메라 기반 홈 서버용 모니터링 기술에 관한 연구)

  • Jeong Jong-Geun;Cheon Sung-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.8
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    • pp.1754-1761
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    • 2005
  • A monitoring system for the security is increasingly demanded in line with the issue of the infringement of privacy. This paper has conducted the study on the monitoring technique via the Internet using PC or PDA. This is a monitoring system for web-camera based home server, which transmits the images and sound data captured by mike-embedded USB camera, though multiplexer of H.263 and internet. It integrates the operating processors of each device into a unified drive module and provides it the operator to facilitate the system operation and maintenance.