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

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Paper number
2133
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
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