DOI QR코드

DOI QR Code

Reviewing the Utilization of Smart Airport Security - Case Study of Different Technology Utilization -

  • Sung-Hwan Cho (Dept. of Aviation Security, Digital Seoul Cultural Art University) ;
  • Sang Yong Park (Dept. of Flight Operation, Jungwon University)
  • Received : 2023.08.16
  • Accepted : 2023.09.08
  • Published : 2023.09.30

Abstract

The main purpose of the research was to review the global trends of airport's smart security technologies. Moreover, using the case studies of airport using smart security, this paper tried to propose the implication how the findings through the case studies may be important for airport policy and will impact the future research of airport operation. It is expected in the future the aviation security technology with biometric information evolves from single identification to multiple identification technology which has combined application of iris, vein and others. Facing post COVID-19 era, the number of passengers traveling through airports continues increase dramatically and the risks as well, the role of AI becomes even more crucial. With AI based automated security robotics airport operators could effectively handle the growing passenger and cargo volume and address the associated issues Smart CCTV analysis with A.I. and IoT applying solutions could also provide significant support for airport security.

Keywords

Acknowledgement

This work was carried out and supported by 2023 Digital Seoul Cultural Art University.

References

  1. Dfaz, V., "Legal challenges of biometric immigration control systems", Mexican Law Review, 7(1), 2014, pp.3-30. https://doi.org/10.1016/S1870-0578(16)30006-3
  2. Kim, C. W., Kim, K. W., and Park, S. S., "A study on the effect of airline staff's contradictory attitude between aviation safety and aviation security to organizational effectiveness", Journal of Korean Society Aviation and Aeronautics, 28(2), 2020, pp.18-28. https://doi.org/10.12985/ksaa.2020.28.2.018
  3. Khan, N., and Efthymiou, M., "The use of biometric technology at airports: The case of customs and border protection (CBP)", International Journal of Information Management Data Insights, 1(2), 2021, p.100049.
  4. Kasim, K. O., Winter, S. R., Liu, D., Keebler, J. R., and Spence, T. B., "Passengers' perceptions on the use of biometrics at airports: A statistical model of the extended theory of planned behavior", Technology in Society, 67, 2021, p.101806.
  5. Kim, C., Lee, K. C., and Costello F. J., "The intention of passengers towards repeat use of biometric security for sustainable airport management", Sustainability, 12(11), 2020, p.4528.
  6. Capezio, F., Mastrogiovanni, F., Sgorbissa A., and Zaccaria, R. "The ANSER project: Airport nonstop surveillance expert robot," 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 2007, pp.991-996.
  7. Yangan, D., and Meng, C., "Application problems and solutions of intelligent airport service robots", E3S Web of Conferences, 198, 04030, 2020.
  8. Sathyamoorthy, A. J., Patel U., Paul M., Savle Y., and Manocha D., "COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios", PLoS ONE 16(12), 2021, p.e0259713.
  9. Chen, G. "Robotics applications at airports: Situation and tendencies," 2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Changsha, China, 2022, pp.536-539.
  10. Deepa, T. P., "IoT based smart passenger surveillance system for airport", International Journal of Engineering & Technology, 7(4.5), 2018, special issue.
  11. Golda T., Guaia D., and Wagner-Hartl V., "Perception of risks and usefulness of smart video surveillance systems", Applied Sciences. 12(20), 2022, p.10435.
  12. Alhousni, T. J., Awfi, Y. A., Omairi, A. A., and Al-Saaidi, A. "Health surveillance using IoT and AI for oman airports", Student IT Research Exposition, 1(2), Oct. 2022.
  13. Sun, Z. "Research on the application of convolutional neural network based on the YOLO algorithm in airport intelligent monitoring," 2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), Shenyang, China, 2023, pp.103-108,
  14. Lyu, Z., and Lou, J., "A surveillance video real-time object detection system based on edge-cloud cooperation in airport apron", Applied Science, 12(19), 2022, p.10128.