Development of Convolutional Neural Network Architecture for Detecting Dangerous Goods for X-ray Aviation Security in Artificial Intelligence

Woong Kim, Chulung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Aviation-security X-ray equipment is used to screen objects, while human screeners re-examine baggage and travelers to detect prohibited objects. Artificial Intelligence technology is applied to increase the accuracy in searching guns and knives, considered the most dangerous in X-ray images at baggage and aviation security screening. Artificial intelligence aviation security X-ray detects objects, finds them rapidly, reducing screeners’ labor, thereby providing better service to passengers. In this regard, neural networks based on machine learning have been continuously updated to develop such advanced equipment. In this study, the neural network O-Net is developed to improve object detection. O-Net is developed based on U-Net. The developed O-Net is tested for various neural networks, providing a wide range of experimental results.

Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
PublisherSpringer Science and Business Media Deutschland GmbH
Pages609-615
Number of pages7
ISBN (Print)9783030859053
DOIs
Publication statusPublished - 2021
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France
Duration: 2021 Sep 52021 Sep 9

Publication series

NameIFIP Advances in Information and Communication Technology
Volume632 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Country/TerritoryFrance
CityNantes
Period21/9/521/9/9

Keywords

  • Artificial intelligence
  • Aviation security
  • Machine learning
  • X-ray detection

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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