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    Autonomous monitoring system for the detection of disrupting power cables on distribution networks using computer vision techniques

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    CIRED 2019 - 2133.pdf (451.2Kb)
    Paper number
    2133
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Del Hoyo, Ignacio Leonardo, UTFPR, Brazil
    Bianchi Filho, José Francisco, Lactec, Brazil
    Alcantara Andrade, Gerson , Copel, Brazil
    Cordeiro Vogt, Guilherme , UFPR, Brazil
    Murmel, Yan Victor, UTFPR, Brazil
    Ribeiro Júnior, Sebastião, UFPR, Brazil
    Naoto Tabata, Alan , Lactec, Brazil
    dos Santos Haveroth, Gabriel , Lactec, Brazil
    Abstract
    This paper aims on evaluating classical computer vision techniques in order to detect whether electric cables are falling to the ground or not. A proprietary dataset containing several simulation cases was built with the Unreal Engine 4 framework and simulations were performed on MATLAB with an algorithm that performs frame subtraction and applies filters in order to detect movement on images. Evaluated metrics were precision, recall, F1 score and Frames Per Second (FPS) processed. The algorithm performed satisfactorily on most cases, being able to achieve a precision of up to 100.00%, 26.67% recall, 0.4058 F1 score and up to11 FPS.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/745
    http://dx.doi.org/10.34890/966
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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