• Title/Summary/Keyword: Network Camera

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Implementation of Remote Control System of Robot using Web Browser (웹 브라우져를 이용한 원거리 로봇 조작 시스템 구현)

  • 선상준;이동옥;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.288-291
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    • 2000
  • In this paper we implement a robot system consisted of mobile tole robot to be controlled by client through web browser Newly Internet is connected to all network of the whole world. If client uses the network like this, client can control direction of a robot that is selected in free place. In this study, system is embodied in using robot that can move freely in plan place and cod camera that can grab robot image. System transmit image data of cod camera to java server that is placed in web server of internet that is used by client. Java server display incoming data in home page using java applet. Then web browser offer robot image to client and client send remote control signal to robot. Control signal is transmitted to robot by java server and robot receiving signal moves toward direction wanted by client.

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Study on HD Analog video surveillance system (HD Analog 영상감시시스템에 관한 연구)

  • Ha, Kyung-Su
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2015.11a
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    • pp.317-318
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    • 2015
  • 이 연구에서는 아날로그 기반의 고화질 전송 시스템(HD Analog system)에 관하여 고찰하였다. 오늘날 영상감시시스템은 고해상도 적용을 위한 기술개발을 통해 고품질의 영상을 구현할 수 있는 HD-SDI나 Network camera로 전환되고 있다. 그러나 Network camera는 기존 시스템과의 현격한 구성 차이로 전체 시스템을 다시 구축해야 하고, HD-SDI는 저가형 케이블 등에서는 만족할 만한 성능이 보장되지 않았다. 이러한 배경에서 등장한 것이 HD Analog system이다. HD Analog system은 기존 동축케이블을 이용할 수 있으며 저가형 케이블에서도 최대 500m 이상 전송이 가능하고, 구축비용을 절감할 수 있는 장점이 있다. 그러나 제조사별 시스템의 호환 문제 등을 해소하기 위한 표준화는 HD Analog system의 성장을 위한 선결과제로 제기된다.

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A Non-contact Shape Measuring System Using an Artificial Neural Network

  • Jeong, Woo-tae;Lee, Myung-Chan;Koh, Duck-joon;Cho, Hyung-suck
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05a
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    • pp.399-404
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    • 1996
  • We developed a non-contact shape measuring device using computer image processing technology. We present a method of calibrating a CCD video camera and a laser range finder which is the most important step toward making an accurate shape measuring system. An artificial neural network is used for the calibration. Our measurement system is composed of a semiconductor laser. a CCD video camera, a personal computer, and a linear motion table. We think that the developed system could be used for measuring the change in shape of the spent nuclear fuel rod before and after irradiation which is one of the most important tasks for developing a better nuclear fuel. A radiation shield is suggested for the possible utilization of the range finder in radioactive environment.

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IP camera security: "Security Eyes"

  • Alshamrani, Sultan S
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.75-80
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    • 2022
  • With the rapid growth of Internet of Things (IoT) applications and devices, there are still defects in safety and privacy. Current researches indicate that there are weak security mechanisms to protect these devices. Humans use the Internet of Things to control and connect their devices with the Internet. Using the Internet of things has been increased over time. Therefore, capture of sensitive user data has increased intentionally or not [1]. The IP Camera is a type of (IOT) devices. Therefore, in this paper we aim to create a "Security Eyes" application that protects IP Cameras from security attacks according to certain security mechanisms (increasing the strength of encryption and filling the usual security holes in IP cameras … etc) and alerts the user when the live broadcast is interrupted or an error occurs.

Design of an IOT System based on Face Recognition Technology using ESP32-CAM

  • Mahmoud, Ines;Saidi, Imen;bouzazi, Chadi
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.1-6
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    • 2022
  • In this paper, we will present the realization of a facial recognition system using the ESP32-CAM board controlled by an Arduino board. The goal is to monitor a remote location in real time via a camera that is integrated into the ESP32 IOT board. The acquired images will be recorded on a memory card and at the same time transmitted to a pc (a web server). The development of this remote monitoring system is to create an alternative between security, reception, and transmission of information to act accordingly. The simulation results of our proposed application of the facial recognition domain are very efficient and satisfying in real time.

A Study of raw materials loss prevention measurement based on IP Camera and RFID Box (IP Camera와 RFID Box를 이용한 원자재 유실 방지 방안 연구)

  • Choi, Kyong-Ho;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.15 no.3_2
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    • pp.71-76
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    • 2015
  • Global companies are building global production network for the demand of the global market. However, the establishment and operation of overseas plants make the unexpected case like theft, low will to produce and salary issue of local workers. Thus in this paper, we propose the raw materials loss prevention model based on IP Camera and RFID Box for raw materials management of overseas plants. This model can prevent the theft or loss of raw materials write inventory up in real-time. This model can be allows us to realize the cost-effective production management because it enables remote inventory management. And this model can prevent brand image danage and profit loss due to reject product.

Control Software of SQEUAN (SED camera for the QUasars in EArly uNiverse)

  • Lee, Hye-In;Ji, Tae-Geun;Park, Won-Kee;Kuehne, John;Im, Myungshin;Pak, Soojong
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.34.3-35
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    • 2017
  • Spectral energy distribution camera for QUasars in EArly uNiverse (SQUEAN) is a successor of Camera for Quasars in EArly uNiverse (CQUEAN) which was developed by Center for the Exploration of the Origin of the Universe and operated at the 2.1 m Otto Struve Telescope in the McDonald Observatory, USA, since 2010. The software of SQUEAN controls a science camera, a guiding camera, and a filter wheel, and communicates with the telescope control system (TCS). It has been constantly revised and modularized according to the upgrades of the TCS and the hardware changes. Recently we have implemented the stable network communication and the semi-automatic focusing modules to enhance observational convenience. In this presentation we describe the current status of the SQUEAN control software and introduce a software architecture which is optimized on efficient astronomical observations.

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Three-dimensional shape measurement using grating patterns form an optical spatial modulator

  • Tsujioka, Katsumi;Ito, Hiroshi;Furuhashi, Hideo;Higa, Shuntaro;Hayashi, Niichi;Yamada, Jun;Hatano, Kazuo;Uchida, Yoshiyuki
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.561-565
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    • 1994
  • An automatic measuring system of three dimensional shape by a projection method with grating pattern from in optical spatial modulator has been developed. The characteristics of the system were studied. This system is composed of a projector, an optical spatial modulator, a CCD camera, and computer. A liquid crystal is used as the optical spatial modulator. The grating patterns that ire projected on the surface of the object are controlled by the computer connected with the optical spatial modulator. The projector patterns are measured by the CCD camera. The data are transferred to the computer. After a transformation into line data, the data are analyzed to obtain the coordinate of the surface of the object. This system has advantages as follows. (1) It is possible to capture the surface topography without any contact. (2) The time required for the measurements is shorter than the light-section method. (3) An optical spatial modulator using a liquid crystal is possible to control the grating patterns accurately by a computer. Surfaces of a plate and a cylinder were measured. The threshold level had an influence on the measurement. It was shown that this system has adequae accuracy in the measurements.

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An Efficient Implementation of Key Frame Extraction and Sharing in Android for Wireless Video Sensor Network

  • Kim, Kang-Wook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3357-3376
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    • 2015
  • Wireless sensor network is an important research topic that has attracted a lot of attention in recent years. However, most of the interest has focused on wireless sensor network to gather scalar data such as temperature, humidity and vibration. Scalar data are insufficient for diverse applications such as video surveillance, target recognition and traffic monitoring. However, if we use camera sensors in wireless sensor network to collect video data which are vast in information, they can provide important visual information. Video sensor networks continue to gain interest due to their ability to collect video information for a wide range of applications in the past few years. However, how to efficiently store the massive data that reflect environmental state of different times in video sensor network and how to quickly search interested information from them are challenging issues in current research, especially when the sensor network environment is complicated. Therefore, in this paper, we propose a fast algorithm for extracting key frames from video and describe the design and implementation of key frame extraction and sharing in Android for wireless video sensor network.

Development of Identification Method of Rice Varieties Using Image Processing Technique (화상처리법에 의한 쌀 품종별 판별기술 개발)

  • Kwon, Young-Kil;Cho, Rae-Kwang
    • Applied Biological Chemistry
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    • v.41 no.2
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    • pp.160-165
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    • 1998
  • Current discriminating technique of rice variety is known to be not objective till this time because of depending on naked eye of well trained inspector. DNA finger print method based on genetic character of rice has been indicated inappropriate for on-site application, because the method need much labor and skilled expert. The purpose of this study was to develops the identification technique of polished rice varieties using CCD camera images. To minimize the noise of the captured image, thresholding and median filtering were carried out, and edge was extracted from the image data. Image data after pretreatment of normalize and FFT(fast fourier transform) were used for library model and feedforward backpropagation neural network model. Image processing technique using CCD camera could discriminate the variety of rice with high accuracy in case of quite different rice of shape, but the accuracy was reached at 85% in the similar shape of rice.

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