Foreign object debris detection system using GoogLeNet

• Autorzy: Suder Jakub , Marciniak Tomasz

Identyfikatory

DOI

10.15199/48.2023.11.47

Warianty tytułu

PL

System wykrywania ciał obcych przy użyciu GoogLeNet

• Języki publikacji: EN

Abstrakty

EN

he 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.

PL

Artykuł przedstawia koncepcję systemu wizyjnego do wykrywania ciał obcych Foreign Object Debris (FOD) w środowisku lotniskowym, opartego na sieci GoogLeNet. Autorzy przedstawiają motywację do podjętych badań i wstępne testy przeprowadzane w Porcie Lotniczym Poznań - Ławica oraz prezentują opracowany model konwolucyjnej sieci neuronowej o dokładności 95,73%. Do treningu modelu wykorzystano bazę FOD-A zawierającą ponad 19 000 obrazów, wykonanych w różnych warunkach atmosferycznych, aby zapewnić różnorodność bazy danych.

Słowa kluczowe

EN

foreign object debris; embedded vision system; neural network; GoogLeNet

PL

GoogLeNet; ciało obce; wbudowany system wizyjny; sieć neuronowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 11
• Strony: 249--252
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Suder Jakub

• Poznan University of Technology, Institute of Automatic Control and Robotics, Division of Electronic Systems and Signal Processing, ul. Jana Pawła II 24, 60-965 Poznań

• https://orcid.org/0000-0002-3156-0639

autor

Marciniak Tomasz

• Poznan University of Technology, Institute of Automatic Control and Robotics, Division of Electronic Systems and Signal Processing, ul. Jana Pawła II 24, 60-965 Poznań

• https://orcid.org/0000-0001-6035-7325

Bibliografia

• [1] “AC 150/5210-24 - Airport Foreign Object Debris (FOD) Management.” Federal Aviation Administration, Sep. 30, 2010. [Online]. Available: https://www.faa.gov/documentLibrary/media/Advisory_Circular/ AC_150_5210-24.pdf
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• [5] J. Suder, P. Maciejewski, K. Podbucki, T. Marciniak, and A. Dąbrowski, “Measuring Platform for Quality Testing of Airport Lamps,” Pomiary Autom. Robot., vol. 23, no. 2, pp. 5–13, Jun. 2019, doi: 10.14313/PAR_232/5.
• [6] J. Suder, K. Podbucki, T. Marciniak, and A. Dąbrowski, “Spectrum sensors for detecting type of airport lamps in a light photometry system,” Opto-Electron. Rev., vol. 29, no. 4, pp. 133–140, 2021, doi: 10.24425/OPELRE.2021.139383.
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• [13] K. Podbucki, J. Suder, T. Marciniak, and A. Dabrowski, “Evaluation of Embedded Devices for Real- Time Video Lane Detection,” in 2022 29th International Conference on Mixed Design of Integrated Circuits and System (MIXDES), Wrocław, Poland, Jun. 2022, pp. 187–191. doi: 10.23919/MIXDES55591.2022.9838167.
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