• Title/Summary/Keyword: camera monitoring

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The Application of AE for a Drilling Damage Process Monitoring in [0/90 0 ]s CFRP Composites ([0/90 0 ]s CFRP 복합재의 드릴작업손상과정 모니터링에 대한 AE의 적용)

  • Yun, Yu-Seong;Gwon, O-Heon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.6 s.177
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    • pp.1491-1498
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    • 2000
  • In recent years, CFRP composite materials have been increasingly used in various fields of engineering because of a high specific strength and stiffness properties. Drilling is one of the most impo rtant cutting processes that are generally carried out on CFRP materials owing to the need for the structural integration. However, delamination are often occurred as one of the drilling damages. Therefore, there are needs studying for the relationships between CFRP drilling and delamination in order to avoid low strength of the structures and inaccuracies of the integration. In this study, AE signals and thrust forces were used for the evaluations of the delamination from a drilling process in [0/900]s CFRP materials. And the drilling damage processes were observed and measured by a real time monitoring technique with a video camera. From the results, we found that the relationships between the delamination from drilling and AE characteristics and drill thrust forces for [0/900]s CFRP composites. Also, we proposed the monitoring method for a visual analysis of drilling damages.

The Development of Remote Monitoring Technology for URC Robot (URC 로봇 원격 모니터링기술 개발)

  • Kim Joo-Man
    • The Journal of the Korea Contents Association
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    • v.6 no.8
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    • pp.8-19
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    • 2006
  • In the ubiquitous environment, the real-time remote control and monitoring technology for intelligent robot creates service as a sharable and independent of time-location for various contents to get from a sensor or camera of the robot. In this paper, We propose the real-time monitor and control mechanism for intelligent robot called URC(Ubiquitous Robotic Companion). URC are intelligent robots designed as to interact with external digital device that can communicate through wire or wireless by integration the network and information technology into traditional robot. It has been carried out by implementing this technology into the target robot called ISSAC4 and proving its practical worth. We designed feasibly to control on remote site by web-browser. It guarantees a continuity of real-time image transferring by Client-Pull method.

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Development of a Debris Flow Sensing Device and Real Time Warning System (토석류 감지장치 개발과 실시간 경보체계 구축 사례)

  • Kim, Kyung-Suk;Jang, Hyun-Ick;Chung, Sung-Yun
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.273-280
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    • 2008
  • Debris flow has been considered as one of the major natural hazards and possesses tens to hundreds times higher destructive potential than that of slope failure. In the past 5 years, its occurrence frequency was and is likely to increasing due to the global warming. Although various methods such as basin vegetation or structural dams can be implemented to counter measure the debris flow, these methods are not always the right answer to the problem when magnitude of debris flow is far bigger than could be defended. Land use regulations to avoid the hazard or early debris flow warning system to evacuate the expected inundated area can be more economical and practical actions for those cases. In this study, an early debris flow warning system composed of rainfall measuring device, debris flow sensing device and video camera is introduced. The system is designed to issue the warning when rainfall threshold is exceeded or debris flow is sensed by sensing device. Developed monitoring system can be used to cope promptly with the debris flow risk.

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Stereoscopic Video Coding for Subway Accident Monitoring System (지하철 사고 감시를 위한 스테레오 비디오 부호화 기법)

  • Oh, Seh-Chan;Kim, Gil-Dong;Park, Sung-Hyuk
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.484-486
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    • 2005
  • Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they falloff from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and stereo camera sensors. In this paper, we propose a stereoscopic video coding scheme for subway accident monitoring system. The proposed scheme is designed for providing flexible video among various displays, such as control center, station employees and train driver. We uses MPEG-2 standard for coding the left-view sequence and IBMDC for predicting the P- and B-types of frames of the right-view sequence. IBMDC predicts matching block by interpolating both motion and disparity predicted macroblocks. To provide efficient stereoscopic video service. we define both temporally and spatially scalable layers for each eye's-view by using the concept of Spatio-Temporal scalability. According to the experimental results. we expect the proposed functionalities will play a key role in establishing highly flexible stereoscopic video codec for ubiquitous display environment where devices and network connections are heterogeneous.

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A Camber Monitoring System of RM Zone based on Direction Selective Edge Detection Algorithm (방향 선택형 에지검출 알고리즘 기반의 RM존 캠버 모니터링 시스템)

  • Kim, Hyun-Soo;Choi, Yong Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.8
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    • pp.713-717
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    • 2015
  • In this paper, we propose camber monitoring system which is using on hot rolling process. In roughing mill which is one of the rolling part in hot rolling process, steel plate can be bended in width direction under the imbalance of rolling condition. This bending of steel plate in width direction is called as camber. In order to measure the camber, first, cameras which are installed over transport pathway of steel plate take pictures of whole shape of steel plate. And location value of steel plate edge is extrated from these pictures by edge detection algorithm. But, there are a lot of noises which are generated by such as water sprays, dusts, peripheral equipments in these pictures, and these noises make edge detection difficult. In order to solve this kind of problem, we developed a direction selective edge detection algorithm, and applicated in our camber monitoring system. As a result, we got stable results in spite of process noises.

A Design and Implementation of Remote Video Monitoring System for the Mobile Internet (무선 인터넷에서의 원격 화상 모니터링 시스템의 설계 및 구현)

  • 공인엽
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.10a
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    • pp.53-56
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    • 2001
  • It has been increasing that the use of Mobile Internet these days. And the demand of user is changing from the text based services to multimedia based data services like pictures, sounds and streaming videos in Mobile Internet. In this paper, It is proposed a remote monitoring system that .an transfer the video data through WAP(Wireless Application protocol) based Mobile Internet used generally in anywhere. And this system is a low-cost efficient system compared with a existing high-cost Internet Camera system, using video module connected to Internet directly and PC-based server. In this paper, It is explained a design and implementation of such WAP-based remote monitoring system.

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Implementation of Real-Time Monitoring System for Overhead Contact Wire in Electric Railway (전차선로 검측을 위한 실시간 화상처리 시스템 구현)

  • Park, Young;Cho, Young-Hyeon;Lee, Ki-Won;Kwon, Sam-Young;Park, Hyun-Jun;Jang, Dong-Uk
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.06a
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    • pp.543-544
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    • 2006
  • This paper describes a simple real-time monitoring system for use in measurement subsystem of contact wire and geometry of overhead contact wire in electric railway. The system has been consists of a high speed CMOS camera with resolution $1024\;{\times}\;1280$ pixels, line type laser source with a power equal to 300 mW, and PC-based image acquisition system with PCI Express slot. National instrument LabVIEW (8.0) and vision acquisition software have been used in application programming interface for image acquisition, display, and storage with a frequency of sampling of 500 acquisitions per second.

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Accurate Pig Detection for Video Monitoring Environment (비디오 모니터링 환경에서 정확한 돼지 탐지)

  • Ahn, Hanse;Son, Seungwook;Yu, Seunghyun;Suh, Yooil;Son, Junhyung;Lee, Sejun;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.24 no.7
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    • pp.890-902
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    • 2021
  • Although the object detection accuracy with still images has been significantly improved with the advance of deep learning techniques, the object detection problem with video data remains as a challenging problem due to the real-time requirement and accuracy drop with occlusion. In this research, we propose a method in pig detection for video monitoring environment. First, we determine a motion, from a video data obtained from a tilted-down-view camera, based on the average size of each pig at each location with the training data, and extract key frames based on the motion information. For each key frame, we then apply YOLO, which is known to have a superior trade-off between accuracy and execution speed among many deep learning-based object detectors, in order to get pig's bounding boxes. Finally, we merge the bounding boxes between consecutive key frames in order to reduce false positive and negative cases. Based on the experiment results with a video data set obtained from a pig farm, we confirmed that the pigs could be detected with an accuracy of 97% at a processing speed of 37fps.

Online Monitoring System based notifications on Mobile devices with Kinect V2 (키넥트와 모바일 장치 알림 기반 온라인 모니터링 시스템)

  • Niyonsaba, Eric;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1183-1188
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    • 2016
  • Kinect sensor version 2 is a kind of camera released by Microsoft as a computer vision and a natural user interface for game consoles like Xbox one. It allows acquiring color images, depth images, audio input and skeletal data with a high frame rate. In this paper, using depth image, we present a surveillance system of a certain area within Kinect's field of view. With computer vision library(Emgu CV), if an object is detected in the target area, it is tracked and kinect camera takes RGB image to send it in database server. Therefore, a mobile application on android platform was developed in order to notify the user that Kinect has sensed strange motion in the target region and display the RGB image of the scene. User gets the notification in real-time to react in the best way in the case of valuable things in monitored area or other cases related to a reserved zone.

Individual Pig Detection Using Kinect Depth Information (키넥트 깊이 정보를 이용한 개별 돼지의 탐지)

  • Choi, Jangmin;Lee, Jonguk;Chung, Yongwha;Park, Daihee
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.10
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    • pp.319-326
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    • 2016
  • Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. In this paper, we propose a new Kinect camera-based monitoring system for the detection of the individual pigs. The proposed system is characterized as follows. 1) The background subtraction method and depth-threshold are used to detect only standing-pigs in the Kinect-depth image. 2) The moving-pigs are labeled as regions of interest. 3) A contour method is proposed and applied to solve the touching-pigs problem in the Kinect-depth image. The experimental results with the depth videos obtained from a pig farm located in Sejong illustrate the efficiency of the proposed method.