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

    1 Citation (Scopus)

    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 Sept 52021 Sept 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

    Bibliographical note

    Publisher Copyright:
    © 2021, IFIP International Federation for Information Processing.

    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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