Foreign Object Debris detection system using GoogLeNet

被引：0

作者：

Suder, Jakub ^{[1
]}

Marciniak, Tomasz ^{[1
]}

机构：

[1] Poznan Univ Tech, Inst Automat Control & Robot, Div Signal Proc & Elect Syst, Ul Jana Pawla II 24, PL-60965 Poznan, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2023年 / 99卷 / 11期

基金：

欧盟地平线“2020”;

关键词：

Foreign Object Debris; embedded vision system; neural networks; GoogLeNet;

D O I：

10.15199/48.2023.11.47

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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-Lawica 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.

引用

页码：249 / 252

页数：4

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