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Article

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Title

Foreign Object Debris detection system using GoogLeNet

Authors

[ 1 ] Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ 2 ] Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies

Year of publication

2023

Published in

Przegląd Elektrotechniczny

Journal year: 2023 | Journal volume: R. 99 | Journal number: nr 11

Article type

scientific article

Publication language

english

Keywords
EN
  • Foreign Object Debris
  • embedded vision system
  • neural networks
  • GoogLeNet
Abstract

EN The article presents the concept of a vision system for Foreign Object Debris (FOD) detection in the airport environment, based on the GoogLeNet network. The authors present the motivation for the research carried out and the preliminary tests carried out at the Pozna-Ławica Airport and present the developed model of a convolutional neural network with an accuracy of 95.73%. The FOD-A dataset containing more than 19,000 images taken under various weather conditions was used to train the model to ensure the diversity of the dataset.

Pages (from - to)

249 - 252

DOI

10.15199/48.2023.11.47

URL

http://pe.org.pl/articles/2023/11/47.pdf

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

70

Impact Factor

0,4

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