sis 22(2): e12

Research Article

Design of civil aviation security check passenger identification system based on residual convolution network

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  • @ARTICLE{10.4108/eetsis.v10i1.2587,
        author={Ning Zhang and Youcheng Liang and Loknath Sai Ambati},
        title={Design of civil aviation security check passenger identification system based on residual convolution network},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={2},
        publisher={EAI},
        journal_a={SIS},
        year={2022},
        month={11},
        keywords={Residual convolution network, Civil aviation security check, Passenger identification, System design, A transmission control unit, Image acquisition module},
        doi={10.4108/eetsis.v10i1.2587}
    }
    
  • Ning Zhang
    Youcheng Liang
    Loknath Sai Ambati
    Year: 2022
    Design of civil aviation security check passenger identification system based on residual convolution network
    SIS
    EAI
    DOI: 10.4108/eetsis.v10i1.2587
Ning Zhang1,*, Youcheng Liang1, Loknath Sai Ambati2
  • 1: Guangzhou Civil Aviation College, Guangzhou, China
  • 2: Indiana University
*Contact email: zhangning@gcac.edu.cn

Abstract

INTRODUCTION: A civil aviation security check passenger identification system based on residual convolution network is designed to improve the efficiency of airport passenger security check service. OBJECTIVES: The system uses the basic resource layer to provide communication and configuration services, collects the basic information of passengers, the images of passengers' faces and whole body, and the images of baggage security X-ray machine through the data layer, and stores the collected results in the unstructured database; METHODS: The image processing module of the business service layer calls the data in the database, and takes the STM32F103VBT6 microprocessor as the image processing control chip to complete the image data processing. The person, baggage, X-ray machine image and passenger basic information are associated through the person, baggage and X-ray machine information binding service module, and the association results are uploaded to the person and certificates integration unit of the client application layer. RESULTS: The face recognition module identifies the passenger identity through the residual convolution network with the attention mechanism, and realizes the ReID identification of passengers and baggage and the association of people and baggage through the transmission control unit. CONCLUSION: The experimental results show that the system can accurately identify the identity of civil aviation security passengers, and the identification efficiency of security passengers can reach more than 27 frames per second.