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    Digital Asset Capturing (DAC): an image recognition based algorithm supporting collection and analysis of overhead power grid assets

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    Paper number
    1595
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    VALIGI, Enrico,Global I&N, Italy
    BOLOGNESI, Massimo, Global I&N, Italy
    CIANCARELLI, Francesco,Global I&N, Italy
    Abstract
    Since last decade, electrical power companies have largely improved quality and efficiency of overhead power lines surveillance and infrastructure assets inspections thanks to aerial vehicles (AVs) applications. Regular visual inspection are performed to check the status of their power lines mainly using helicopter equipped with external gimbals housing cameras to detect anomalies or abnormal conditions as soon as possible. Current detailed aerial inspection approach uses trained inspectors who fly aboard helicopters to inspect the lines with binoculars and cameras, while recording the data in a logbook. These manual activities are expensive and affected by human errors. The paper presents a different approach to digital capture power grid assets and to detect visible anomalies on components based on Artificial Intelligence technologies.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://www.cired-repository.org/handle/20.500.12455/827
    http://dx.doi.org/10.34890/5
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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