• 제목/요약/키워드: Image Data Processing Equipment

검색결과 86건 처리시간 0.024초

다수의 건설인력 위치 추적을 위한 스테레오 비전의 활용 (Simultaneous Tracking of Multiple Construction Workers Using Stereo-Vision)

  • 이용주;박만우
    • 한국BIM학회 논문집
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    • 제7권1호
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    • pp.45-53
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    • 2017
  • Continuous research efforts have been made on acquiring location data on construction sites. As a result, GPS and RFID are increasingly employed on the site to track the location of equipment and materials. However, these systems are based on radio frequency technologies which require attaching tags on every target entity. Implementing the systems incurs time and costs for attaching/detaching/managing the tags or sensors. For this reason, efforts are currently being made to track construction entities using only cameras. Vision-based 3D tracking has been presented in a previous research work in which the location of construction manpower, vehicle, and materials were successfully tracked. However, the proposed system is still in its infancy and yet to be implemented on practical applications for two reasons. First, it does not involve entity matching across two views, and thus cannot be used for tracking multiple entities, simultaneously. Second, the use of a checker board in the camera calibration process entails a focus-related problem when the baseline is long and the target entities are located far from the cameras. This paper proposes a vision-based method to track multiple workers simultaneously. An entity matching procedure is added to acquire the matching pairs of the same entities across two views which is necessary for tracking multiple entities. Also, the proposed method simplified the calibration process by avoiding the use of a checkerboard, making it more adequate to the realistic deployment on construction sites.

Structure-From-Motion Approach to the Reconstruction of Surfaces for Earthwork Planning

  • Nassar, Khaled;Jung, Young-Han
    • Journal of Construction Engineering and Project Management
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    • 제2권3호
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    • pp.1-7
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    • 2012
  • The reconstruction of surfaces from unorganized point clouds can provide very useful information for construction managers. Although point clouds are generally created using 3D scanners, they can also be generated via the structure-from-motion technique using a sequence of images. Here we report a novel surface reconstruction technique for modeling and quantifying earthworks that can be used for preliminary planning, project updates and estimating of earthwork quantities, as well as embedded planning systems in construction equipment. The application of structure-from-motion techniques in earth works is examined and its advantages and limitations identified. Data from 23 earthwork excavation construction sites were collected and analyzed. 3D surface reconstructions during the construction phase were compared to the original land form. Similar experiments were conducted with piles of earth and the results analyzed to determine appropriate ranges of use for structure-from-motion surface reconstructions in earthwork applications. The technique was found to be most suited to pile of materials with volumes less than 2000 m3. Piles up to 10 m in height and with base areas up to $300m^2$ were also successfully reconstructed. These results should be of interest to contractors seeking to utilize new technology to optimize operational efficiency.

충돌 Jet에서 Rod 형상에 따른 유동특성의 PIV 계측에 의한 연구 (A Study on the Flow Characteristics according to the Shapes of Rod on Impinging Jet by PIV Measurement)

  • 나우정;정진도;송민근;이상범;손승우;주은선
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권1호
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    • pp.152-161
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    • 2004
  • The thermal load is a very important problem to be solved in many industrial systems including the electronic equipment. Impinging Jets have been known to provide a large heat transfer rates on surface for many years. The turbulence enhancement of fluid flow is requested for the efficiency elevation of heat transfer. A study on flow fields by rods attached to the wall surface as a promoter of turbulence enhancement has been carried out. The exact analysis on chracteristics of impinging jet field is requested to obtain the optimum design of the impinging jet system. By visualizing the flow field and processing the high digital image by computer PIV can afford exact data on the velocity vector kinetic energy and turbulence intensity in the complex turbulence field. In this study. three kinds of rod shape such as square. triangle. and semicircle are selected as the turbulence promoter. Nozzle diameters are 10mm. 17mm. and 23mm. And the analysis of the flow characteristics due to the above rods is carried out at Re No. 2.000, 3.000. and 4,000 by PIV measurement. It is clarified that the rod setup is very useful to obtain the turbulence enhancement and the turbulence intensity according to the shapes of rod appears large in order of the shapes of rod such as square 〉 triangle 〉semicircle.

에너지 절감용 조명 및 공조기기 최적제어 시스템 개발 (Development of Optimal Control System for Lighting and HVAC(Heating, Ventilation, Air Conditioning) Using Energy Saving)

  • 장우성;송영석;조병록;조석환
    • 한국전자통신학회논문지
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    • 제13권5호
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    • pp.1029-1036
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    • 2018
  • 본 논문은 캠퍼스환경에서 에너지 절약을 위해 조명 및 공조기기의 최적제어 시스템 개발에 대한 연구이다. 본 연구를 통해 개발 된 제어 시스템의 경우 모션센서와 영상처리를 통해 출입 인원수 파악과 온/습도에 대한 정보로 조명과 에어컨을 제어한다. 또한 데이터 통합 모니터링과 제어 신호에 따른 명령 수행 기능을 통해 제어한 결과들로 에너지 절약을 가능하도록 하였다.

얼굴검출에 기반한 강인한 객체 추적 시스템 (Robust Object Tracking System Based on Face Detection)

  • 곽민석
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제6권1호
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    • pp.9-14
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    • 2017
  • 최근 컴퓨터 기술의 발전과 함께 임베디드 기기 또한 다양한 기능을 갖추기 시작했다. 본 연구에서는 최근 활발하게 진행되고 있는 영상센서를 사용한 임베디드 기기 등 자원이 적은 기기에서 효율적인 얼굴 추적 방식을 제안한다. 정확한 얼굴을 얻기 위하여 MB-LBP 특징을 사용한 얼굴 검출 방식을 사용했으며, 다음 영상에서 얼굴 객체 추적을 위하여 얼굴 검출시 얼굴 주변 영역(Region of Interest)을 지정하였다. 그리고 얼굴을 검출을 못하는 영상에서는 기존의 객체 추적 방식인 CAM-Shift를 사용해 객체를 추적해 객체 정보의 손실 없이 정보를 유지할 수 있도록 하였다. 본 연구는 기존 연구와의 비교를 통하여 객체 추적 시스템의 정확성과 빠른 성능을 확인하였다.

REAL-TIME 3D MODELING FOR ACCELERATED AND SAFER CONSTRUCTION USING EMERGING TECHNOLOGY

  • Jochen Teizer;Changwan Kim;Frederic Bosche;Carlos H. Caldas;Carl T. Haas
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.539-543
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    • 2005
  • The research presented in this paper enables real-time 3D modeling to help make construction processes ultimately faster, more predictable and safer. Initial research efforts used an emerging sensor technology and proved its usefulness in the acquisition of range information for the detection and efficient representation of static and moving objects. Based on the time-of-flight principle, the sensor acquires range and intensity information of each image pixel within the entire sensor's field-of-view in real-time with frequencies of up to 30 Hz. However, real-time working range data processing algorithms need to be developed to rapidly process range information into meaningful 3D computer models. This research ultimately focuses on the application of safer heavy equipment operation. The paper compares (a) a previous research effort in convex hull modeling using sparse range point clouds from a single laser beam range finder, to (b) high-frame rate update Flash LADAR (Laser Detection and Ranging) scanning for complete scene modeling. The presented research will demonstrate if the FlashLADAR technology can play an important role in real-time modeling of infrastructure assets in the near future.

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국내 의료기기산업 경쟁력 강화를 위한 디자인개발에 관한 연구 -이동형 영상진단기기 디자인을 중심으로- (The Research of Design Development for Strengthening Competitiveness of Domestic Medical Instrument Industry -Focused on C-Arm Surgical X-Ray Design-)

  • 한일우
    • 디자인학연구
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    • 제17권4호
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    • pp.51-60
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    • 2004
  • 대표적인 고부가가치 산업의 하나인 의료기기 산업은 선진국과의 기술격차를 최소화하여 해외수출시장의 진입이 매우 용이한 분야임에도 불구하고 그동안 일반인에게는 생소한 분야로 인식되어 각종 제도와 정책적인 지원 등에서 소외받아왔다. 특히 효율적인 진료와 환자의 심리적 안정을 위해 의료기기의 제품디자인은 매우 중요한 요소임에도 불구하고 디자인에 대한 무관심과 인식부족으로 투자와 지원이 부족했었던 대표적인 분야이다. 따라서 본 연구는 국내 의료기기 산업의 현황과 국내외 시장환경에 대한 일반적인 고찰과 함께 현 단계에서의 디자인문제점을 제시하고 이를 해결할 하나의 대안으로 대표적 고부가가치 장비인 이동형 영상진단장비에 대한 디자인개발 프로세스를 진행하여 결과물을 도출하였으며 이를 통한 디자인경쟁력의 중요성을 부각시키고 의료기기산업의 후발 디자인추진업체에 하나의 기초자료와 모델을 제시하고 지속적인 디자인투자의욕을 고취시키는 역할을 하고자 한다.

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NeRF, PBD 및 병렬 리샘플링을 결합한 실시간 3D 볼륨 변형체 시각화 (Real-Time 3D Volume Deformation and Visualization by Integrating NeRF, PBD, and Parallel Resampling)

  • 권상민;전소진;박준이;김다솔;계희원
    • 한국컴퓨터그래픽스학회논문지
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    • 제30권3호
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    • pp.189-198
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    • 2024
  • 딥러닝 기반 모델과 물리 시뮬레이션을 결합한 연구는 의료 분야에서 중요한 발전을 이루고 있다. 이는 의료영상 데이터에서 필요한 정보를 추출하고, 물리적 법칙을 기반으로 골격 및 연조직의 변형에 대한 빠르고 정확한 예측을 가능하게 한다. 본 연구는 신경 방사 필드(NeRF), 위치 기반 동역학(PBD), 병렬 리샘플링을 융합하여 3D 볼륨데이터를 쉽게 생성하고 실시간으로 변형 및 시각화하는 시스템을 제안한다. NeRF는 2D 이미지와 카메라 좌표 정보를 사용해 고해상도 3D 볼륨 데이터를 생성하며, PBD는 물리 기반 시뮬레이션으로 획득한 데이터에 대한 실시간 변형과 상호작용을 가능하게 한다. 병렬 리샘플링은 사면체 메쉬와 GPU 병렬 처리를 통해 렌더링 효율성을 높인다. 이 시스템은 광선투사방식으로 렌더링 되어 빠른 실시간 시각화를 제공하며, 비싼 장비 없이 간단하게 3D 데이터를 생성하고 변형할 수 있어 공학, 교육, 의료 등 다양한 분야에서의 활용 가능성을 보여준다.

영농형 태양광 시스템에서의 스마트 농업을 위한 의사결정지원시스템 (A Decision Support System for Smart Farming in Agrophotovoltaic Systems)

  • 김영진;소준용;온영재;이재윤;이재윤
    • 산업경영시스템학회지
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    • 제45권4호
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    • pp.180-186
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    • 2022
  • Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., soil moisture sensors) and micro-climate monitoring sensors (e.g., thermometers and irradiance sensors) is installed in the APV system. This study aims at introducing a decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and performance estimation. Particularly, the real-time monitoring data is used as an input of the DSS system for performance estimation of an APV system in terms of production yields of crops and monetary benefit so that a data-driven function is implemented in the proposed system. The proposed DSS is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the smart farming technology in the field of agriculture.

드론 방제의 최적화를 위한 딥러닝 기반의 밀도맵 추정 (Density map estimation based on deep-learning for pest control drone optimization)

  • 성백겸;한웅철;유승화;이춘구;강영호;우현호;이헌석;이대현
    • 드라이브 ㆍ 컨트롤
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    • 제21권2호
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    • pp.53-64
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    • 2024
  • Global population growth has resulted in an increased demand for food production. Simultaneously, aging rural communities have led to a decrease in the workforce, thereby increasing the demand for automation in agriculture. Drones are particularly useful for unmanned pest control fields. However, the current method of uniform spraying leads to environmental damage due to overuse of pesticides and drift by wind. To address this issue, it is necessary to enhance spraying performance through precise performance evaluation. Therefore, as a foundational study aimed at optimizing drone-based pest control technologies, this research evaluated water-sensitive paper (WSP) via density map estimation using convolutional neural networks (CNN) with a encoder-decoder structure. To achieve more accurate estimation, this study implemented multi-task learning, incorporating an additional classifier for image segmentation alongside the density map estimation classifier. The proposed model in this study resulted in a R-squared (R2) of 0.976 for coverage area in the evaluation data set, demonstrating satisfactory performance in evaluating WSP at various density levels. Further research is needed to improve the accuracy of spray result estimations and develop a real-time assessment technology in the field.