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dc.contributor.authorDel Hoyo, Ignacio Leonardo
dc.contributor.authorBianchi Filho, José Francisco
dc.contributor.authorAlcantara Andrade, Gerson
dc.contributor.authorCordeiro Vogt, Guilherme
dc.contributor.authorMurmel, Yan Victor
dc.contributor.authorRibeiro Júnior, Sebastião
dc.contributor.authorNaoto Tabata, Alan
dc.contributor.authordos Santos Haveroth, Gabriel
dc.date.accessioned2019-07-24T12:49:05Z
dc.date.available2019-07-24T12:49:05Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/745
dc.identifier.urihttp://dx.doi.org/10.34890/966
dc.description.abstractThis 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.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleAutonomous monitoring system for the detection of disrupting power cables on distribution networks using computer vision techniques
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorDel Hoyo, Ignacio Leonardo, UTFPR, Brazil
dc.contributor.detailedauthorBianchi Filho, José Francisco, Lactec, Brazil
dc.contributor.detailedauthorAlcantara Andrade, Gerson , Copel, Brazil
dc.contributor.detailedauthorCordeiro Vogt, Guilherme , UFPR, Brazil
dc.contributor.detailedauthorMurmel, Yan Victor, UTFPR, Brazil
dc.contributor.detailedauthorRibeiro Júnior, Sebastião, UFPR, Brazil
dc.contributor.detailedauthorNaoto Tabata, Alan , Lactec, Brazil
dc.contributor.detailedauthordos Santos Haveroth, Gabriel , Lactec, Brazil
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number2133
dc.description.openaccessYes
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationUTFPR
dc.contributor.affiliationLactec
dc.contributor.affiliationCopel
dc.contributor.affiliationUFPR
dc.contributor.affiliationUTFPR
dc.contributor.affiliationUFPR
dc.contributor.affiliationLactec
dc.contributor.affiliationLactec
dc.description.sessionNetwork components
dc.description.sessionidSession 1


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