• Title/Summary/Keyword: camera on board

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A Design for the Impulse Denoising Filter of Image Using the DSP Processor (DSP프로세서를 이용한 영상의 임펄스 노이즈 제거 필터 설계에 관한 연구)

  • 이상희;문상국;김윤호;류광렬
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.149-153
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    • 2004
  • A Impulse denosing filter design of image for the faster processing time and system compatibility using DSP processor is presented on this paper The system hardware is composed of the stand-alone board with 32 bits DSP processor and vision board for image data acquisition with NTSC CCD camera, and the host computer controls them. The denoising method uses the adaptive median filter. The experiment result is that the system leads to denosing effect as 90% and PSNR 22㏈

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An Embedded Solution for Fast Navigation and Precise Positioning of Indoor Mobile Robots by Floor Features (바닥 특징점을 사용하는 실내용 정밀 고속 자율 주행 로봇을 위한 싱글보드 컴퓨터 솔루션)

  • Kim, Yong Nyeon;Suh, Il Hong
    • The Journal of Korea Robotics Society
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    • v.14 no.4
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    • pp.293-300
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    • 2019
  • In this paper, an Embedded solution for fast navigation and precise positioning of mobile robots by floor features is introduced. Most of navigation systems tend to require high-performance computing unit and high quality sensor data. They can produce high accuracy navigation systems but have limited application due to their high cost. The introduced navigation system is designed to be a low cost solution for a wide range of applications such as toys, mobile service robots and education. The key design idea of the system is a simple localization approach using line features of the floor and delayed localization strategy using topological map. It differs from typical navigation approaches which usually use Simultaneous Localization and Mapping (SLAM) technique with high latency localization. This navigation system is implemented on single board Raspberry Pi B+ computer which has 1.4 GHz processor and Redone mobile robot which has maximum speed of 1.1 m/s.

Wireless Sensors Module for Remote Room Environment Monitoring

  • Lee, Dae-Seok;Chung, Wan-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.449-452
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    • 2005
  • For home networking system with a function of air quality monitoring, a wireless sensor module with several air quality monitoring sensors was developed for indoor environment monitoring system in home networking. The module has various enlargements for various kinds of sensors such as humidity sensor, temperature sensor, CO2 sensor, flying dust sensor, and etc. The developed wireless module is very convenient to be installed on the wall of a room or office, and the sensors in the module can be easily replaced due to well designed module structure and RF connection method. To reduce the system cost, only one RF transmission block was used for sensors' signal transmission to 8051 microcontroller board in time sharing method. In this home networking system, various indoor environmental parameters could be monitored in real time from RF wireless sensor module. Indoor vision was transferred to client PC or PDA from surveillance camera installed indoor or desired site. Web server using Oracle DB was used for saving the visions by web-camera and various data from wireless sensor module.

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

  • Choi, Jae-Guen;Na, Jong-In;Ahn, Do-Rang;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 2001.11c
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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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Used the Computer Vision System Develop of Algorithm for Aluminium Mill Strip Defect Inspection (컴퓨터 비젼 시스템을 이용한 알루미늄표면 검사 알고리즘 개발)

  • 이용중
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.115-120
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    • 2000
  • This study is on the application the image processing algorithm for inspection of the aluminium mill strip surface defect. The image of surface defect data was obtained using the CCD camera with the digital signal board. The edge was found from the difference of pixel intensity between the normal image and defect image. Two step were taken to find the edge in the image processing algorithm. First, noise was removed by using the median filter in the image. Second, the edge was sharpened in detail by using the sharpening convolution filter in the image. Canny algorithm was used to defect the exact edge. The defect section was separated from the original image is to find the coordination point p1 and p2 which include the defect image

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Study on a Real-Time Moving Object Tracking System (실시간 영상추적 시스템에 관한 연구)

  • Kim, Young-Wook;Ahn, Do-Rang;Choi, Jae-Guen;Kim, Ji-Hoon;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2594-2596
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    • 2001
  • In this paper, 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 trackig its movement. The tracking situation can be displayed in a 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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A Study on High Speed, High Precision Auto-alignment System Using Vision System (비전 시스템을 이용한 고속 고정도 자동 정렬장치 연구)

  • 홍준희;전경한
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.457-460
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    • 1998
  • Recently, the research of the FPD(Flat Panel Display)which is substituted for CRT(Cathode Ray Tube) has been widely progressed. But most equipment that are used for production of FPD are expensive and we must import these equipment. Among these equipment, most important one is a auto-alignment system. In this paper, we present a high speed, high precision auto-alignment system, in which a PLD auto tuning algorithm, 1-dimensional CCD(Dcharge Coupled Device) camera, vision board, and vision data processing algorithm are included.

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Recognition of Driving Direction & Obstacles Using Neural Network (신경망을 이용한 차량의 주행방향과 장애물 인식에 관한 연구)

  • Kim, Myung-Soo;Yang, Sung-Hoon;Lee, Seok
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.341-343
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    • 1995
  • In this paper, an algorithm is presented to recogniz the driving direction of a vehicle and obstacles in front of it based on highway road image. The algorithm employs a neural network with 27 sub sets obtained from the road image as its input. The outputs include the direction of the vehicle movement and presence or absence of obstacles. The road image, obtained by a video camera, was digitized and processed by a personal computer equipped with an image processing board.

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Implementation of Video Signal Delivery Protocols for the Camera Device via the Internet (인터넷을 통한 카메라 디바이스의 영상신호 전달 프로토콜 구현)

  • Lee, Ji-Hoon;Chung, Hae;Baek, Bong-Ki;Jo, Young-Rae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.691-700
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    • 2021
  • The IP cameras have rapidly replaced the analog CCTVs as the cameras have the advantages of not only being able to remotely monitor, but also supplying power through the UTP cable, In this paper, we introduce the protocol architecture of the ONVIF standard which is widely applied to the IP camera and other Internet protocols to support it, and implement the ONVIF Device on a commercial board. Although these functions can be controlled by the Client (PC), several functions such as privacy masks, temperature display of the thermal camera, and ROI (Region of Interest) are implemented through a web viewer on the device. Through the experiment, the functions of ONVIF Profile S and web viewer are verified through SOAP messages exchanged between Device (IP camera) and Client program and streamed images.

Development of Vision system for Back Light Unit of Defect (백라이트 유닛의 결함 검사를 위한 비전 시스템 개발)

  • Han, Chang-Ho;Oh, Choon-Suk;Ryu, Young-Kee;Cho, Sang-Hee
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.4
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    • pp.161-164
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    • 2006
  • In this thesis we designed the vision system to inspect the defect of a back light unit of plat panel display device. The vision system is divided into hardware and inspection algorithm of defect. Hardware components consist of illumination part, robot-arm controller part and image-acquisition part. Illumination part is made of acrylic panel for light diffusion and five 36W FPL's(Fluorescent Parallel Lamp) and electronic ballast with low frequency harmonics. The CCD(Charge-Coupled Device) camera of image-acquisition part is able to acquire the bright image by the light coming from lamp. The image-acquisition part is composed of CCD camera and frame grabber. The robot-arm controller part has a role to let the CCD camera move to the desired position. To take inspections of surface images of a flat panel display it can be controlled and located every nook and comer. Images obtained by robot-arm and image-acquisition board are saved on the hard-disk through windows programming and are tested whether there are defects by using the image processing algorithms.