Suchergebnisse - automatic computer vision algorithm

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    distect : automatic sample-position tracking for X-ray experiments using computer vision algorithms von Berg, Michael, Furrer, Dirk, Thominet, Vincent, Wang, Xiaoqiang, Zeugin, Stefan, Grabner, Helmut, Stockinger, Kurt, Piamonteze, Cinthia

    ISSN: 1600-5775, 0909-0495, 1600-5775
    Veröffentlicht: United States John Wiley & Sons, Inc 01.11.2024
    Veröffentlicht in Journal of synchrotron radiation (01.11.2024)
    “… In this work, we apply a robust computer vision algorithm to automatically track and readjust the sample position in the dozens of micrometres range …”
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    Journal Article
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    Design of an Optimum Computer Vision-Based Automatic Abalone (Haliotis discus hannai) Grading Algorithm von Lee, Donggil, Lee, Kyounghoon, Kim, Seonghun, Yang, Yongsu

    ISSN: 0022-1147, 1750-3841, 1750-3841
    Veröffentlicht: United States Blackwell Publishing Ltd 01.04.2015
    Veröffentlicht in Journal of food science (01.04.2015)
    “… An automatic abalone grading algorithm that estimates abalone weights on the basis of computer vision using 2D images is developed and tested …”
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    A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications von Roggi, Gabriele, Niccolai, Alessandro, Grimaccia, Francesco, Lovera, Marco

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: MDPI AG 01.02.2020
    Veröffentlicht in Energies (Basel) (01.02.2020)
    “… In this paper, the authors propose an UAV-based automatic inspection method for photovoltaic plants analyzing and testing a vision-based guidance method developed to this purpose …”
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    UAV Control Algorithm in Automatic Mode Using Computer Vision von Lebedev, A. O., Vasil’ev, V. V.

    ISSN: 8756-6990, 1934-7944
    Veröffentlicht: Moscow Pleiades Publishing 01.07.2021
    “… An algorithm for controlling the flight of an unmanned aerial vehicle (UAV) over the railway in the automatic mode without the participation of the operator and the use of satellite navigation systems is proposed …”
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    Clean Our City: An Automatic Urban Garbage Classification Algorithm Using Computer Vision and Transfer Learning Technologies von Chen, Yuke, Han, Wendi, Jin, Jizhi, Wang, Hao, Xing, Qiaochu, Zhang, Yiwen

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.08.2021
    Veröffentlicht in Journal of physics. Conference series (01.08.2021)
    “… Previous research proposed some computer vision systems to solve the problem of urban garbage classification …”
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    Design of robot automatic navigation under computer intelligent algorithm and machine vision von Wei, Pengcheng, Yu, Xianping, Di, Zhenpeng, Dai, Xiaojun, Wang, Bo, Zeng, Yushan

    ISSN: 2452-414X, 2452-414X
    Veröffentlicht: Elsevier Inc 01.07.2022
    Veröffentlicht in Journal of industrial information integration (01.07.2022)
    “… This work aims to explore the robot automatic navigation model under computer intelligent algorithms and machine vision, so that mobile robots can better serve all walks of life …”
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    THE USE OF COMPUTER VISION ALGORITHMS FOR AUTOMATIC ORIENTATION OF TERRESTRIAL LASER SCANNING DATA von Markiewicz, Jakub Stefan

    ISSN: 2194-9034, 2194-9034
    Veröffentlicht: 01.01.2016
    “… Computer vision (CV) algorithms are used for orientation, which are applied for testing the correctness of the detection of tie points and time of computations, and for assessing difficulties in their implementation …”
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    Computer vision methods and algorithms for automatic detection and classification of objects in decision support systems in agriculture von Yablokova, Alena, Kovalev, Igor, Kovalev, Dmitry, Podoplelova, Valeria, Kobilova, Aziza

    ISSN: 2267-1242, 2555-0403, 2267-1242
    Veröffentlicht: Les Ulis EDP Sciences 01.01.2024
    Veröffentlicht in E3S web of conferences (01.01.2024)
    “… The paper examines aspects of developing and formalizing the task of applying computer vision methods and algorithms using OpenCV …”
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    Journal Article Tagungsbericht
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    THE USE OF COMPUTER VISION ALGORITHMS FOR AUTOMATIC ORIENTATION OF TERRESTRIAL LASER SCANNING DATA von Markiewicz, Jakub Stefan

    ISSN: 2194-9034, 1682-1750, 2194-9034
    Veröffentlicht: Copernicus Publications 09.06.2016
    “… Computer vision (CV) algorithms are used for orientation, which are applied for testing the correctness of the detection of tie points and time of computations, and for assessing difficulties in their implementation …”
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    DEVELOPMENT OF COMPUTER VISION-BASED AUTOMATIC FLAME DETECTION ALGORITHM USING MATLAB SOFTWARE ENVIRONMENT von Kushnir, A., Kopchak, B.

    ISSN: 2078-6662, 2708-1087
    Veröffentlicht: 20.07.2020
    Veröffentlicht in Fire Safety (20.07.2020)
    “… to it. In addition, such systems have a high frequency of false positives. The most promising area for early fire detection is the use of computer vision based fire …”
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    Computer vision for automatic detection and classification of fabric defect employing deep learning algorithm von Jeyaraj, Pandia Rajan, Samuel Nadar, Edward Rajan

    ISSN: 0955-6222, 1758-5953
    Veröffentlicht: Bradford Emerald Publishing Limited 05.08.2019
    “… Purpose The purpose of this paper is to focus on the design and development of computer-aided fabric defect detection and classification employing advanced learning algorithm …”
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    Algorithm for automatic optimizing cross-cut saw based on computer vision techniques von Ma, Hailong, Shao, Mingwei

    ISSN: 2631-8695, 2631-8695
    Veröffentlicht: IOP Publishing 01.12.2023
    Veröffentlicht in Engineering Research Express (01.12.2023)
    “… Meanwhile, the action is not safe enough. In this case, an automatic optimizing cross-cut saw to finish these tasks of timber classification by grades and defect detection is built significantly …”
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    INDOOR HUMAN FALL DETECTION SYSTEM BASED ON AUTOMATIC VISION USING COMPUTER VISION AND MACHINE LEARNING ALGORITHMS von KISHANPRASAD GUNALE, PRACHI MUKHERJI

    ISSN: 1823-4690
    Veröffentlicht: Taylor's University 01.08.2018
    Veröffentlicht in Journal of engineering science & technology (01.08.2018)
    “… The detection of unnatural falls among older adults living alone at home is an essential requirement of the day. Injury after a fall is common, and immediate …”
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    An automatic colour-based computer vision algorithm for tracking the position of piglets von Navarro Jover, J.M, Alcañiz Raya, M, Balasch, S, Moreno, J.R, Torres, A., Universidad Politécnica de Valencia (España). Escuela Técnica Superior de Ingenieros Agrónomos, Gómez, V, Grau Colmenar, V

    ISSN: 1695-971X, 2171-9292, 2171-9292
    Veröffentlicht: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) 01.09.2009
    Veröffentlicht in Spanish journal of agricultural research : SJAR (01.09.2009)
    “… La visión artificial es una potente herramienta de observación al servicio de la …”
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    Automatic tile position and orientation detection combining deep-learning and rule-based computer vision algorithms von Liu, Wenyao, Chen, Jinhua, Lyu, Zemin, Feng, Rui, Hu, Tong, Deng, Lu

    ISSN: 0926-5805
    Veröffentlicht: Elsevier B.V 01.03.2025
    Veröffentlicht in Automation in construction (01.03.2025)
    “… Increasing interest in a tile-paving robot calls for a robust tile detection algorithm …”
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    Using real time computer vision algorithms in automatic attendance management systems von Shehu, V, Dika, A

    ISBN: 9781424457328, 1424457327
    ISSN: 1330-1012
    Veröffentlicht: IEEE 01.06.2010
    “… This paper introduces a new approach in automatic attendance management systems, extended with computer vision algorithms …”
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    Tagungsbericht
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    Automatic image-based detection and inspection of paper fibres for grasping von Hirvonen, Juha, Kallio, Pasi

    ISSN: 1751-9632, 1751-9640, 1751-9640
    Veröffentlicht: The Institution of Engineering and Technology 01.08.2015
    Veröffentlicht in IET computer vision (01.08.2015)
    “… An automatic computer vision algorithm that detects individual paper fibres from an image, assesses the possibility of grasping the detected fibres with microgrippers and detects the suitable grasping …”
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