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Study on Detection Algorithm of Live Animal in Self-bag-Drop Kiosk in Airport Using UWB Radar

  • Kiwon Jung
  • Younghwan Bang
  • Sun-Myung Hwang
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 789)

Abstract

The study is conducted detection by UWB (Ultra-Wide Band) to prevent against safety accidents which could be occurred in Self Bag Drop installed and unmanned operated in airport by the unexpected intrusions such as alive animals, humans especially. To conduct the study, we applied algorithm with the detected signal of an object movement and respiratory cycle during standstill by filtering/signal processing S/W. For the proper study, we installed and operated UWB radar in the mock-up frame of Self Bag Drop. We study the operation of the system by the detected alive object’s status in the Self Bag Drop and analyse its doppler pulse.

Keywords

UWB Self bag drop Airport 

Notes

Acknowledgements

This study was carried out by the Ministry of Science and Technology (ICT)’s support for research funds provided by the SW compute industry source technology. [Standard interface-based commercial service platforms and auto handling with multiple features (Issuance of boarding pass and consignment of baggage) for building advanced smart airport terminals. Development by KIOSK].

References

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    Novelda, A.S.: XeThru Sleep Monitoring—A Polysomnography (PSG) Comparative Study (2018, February)Google Scholar
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    Novelda, A.S.: High-end and Non-contact Sensor Technology for Respiration (2014)Google Scholar
  3. 3.
    Novelda, A.S.: X4M200 Datasheet Respiration Sensor (2017, September)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.SCom CNS IncDaejeonRepublic of Korea
  2. 2.Korea Institute of Industrial TechnologyChungcheongnam-doRepublic of Korea
  3. 3.Daejeon UniversityDaejeonRepublic of Korea

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