Foreign Object Debris detection system using GoogLeNet
[ 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
[2.2] Automation, electronics, electrical engineering and space technology
2023
scientific article
english
- Foreign Object Debris
- embedded vision system
- neural networks
- GoogLeNet
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.
249 - 252
CC BY-NC-ND (attribution - noncommercial - no derivatives)
open journal
final published version
at the time of publication
70
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