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An Automatic Access Registration System using Beacon and Deep Learning Technology

비콘과 딥러닝 기술을 활용한 전자출입명부 자동등록시스템

  • 허지원 (서울여자대학교 멀티미디어학과) ;
  • 엄성용 (서울여자대학교 소프트웨어융합학과)
  • Received : 2020.10.31
  • Accepted : 2020.11.19
  • Published : 2020.11.30

Abstract

In order to prevent the national wide spread of the COVID-19 virus, the government enforces to use an electronic access registration system for public facilities to effectively track and manage the spread. Initially, there was a lot of hassle to write a directory, but recently a system for creating an electronic access list using QR codes, what is called KI-Pass, is mainly used. However, the procedure for generating a QR code is somewhat cumbersome. In this paper, we propose a new electronic access registration system that does not require QR code. This system effectively controls the suspicious visitor by using a mask wearing discriminator which has been implemented using deep learning technology, and a non-contact thermometer package. In addition, by linking the beacon, a short-range wireless communication technology, and the visitor's smartphone application, basic information of the facility visitor is automatically registered to KDCA through the server. On the other hand, the user access information registered in the server is encrypted and stored, and is automatically destroyed after up to 4 weeks. This system is expected to be very effective in preventing the spread of other new infectious diseases as well as responding to the coronavirus which is recording a high spread worldwide.

전 세계적으로 감염이 확산되고 있는 코로나19 바이러스의 확산 방지 및 효과적인 추적 관리를 위해 정부에서는 공공시설에 대한 전자출입명부 시스템 도입을 의무화하고 있다. 초기에는 수기로 명부를 작성하는 불편함이 컸으나, 최근에는 QR 코드를 활용한 전자출입명부 작성 시스템이 주로 사용되고 있다. 하지만, QR 코드 생성을 위한 절차가 다소 번거로운 측면이 있다. 본 논문에서는 QR 코드 생성이 불필요한 새로운 방식의 전자출입명부 작성 시스템을 제안한다. 제안된 시스템에서는 딥러닝 기술로 구현된 마스크 착용 판별기와 비접촉 온도계를 활용하여 감염 의심 방문자를 효과적으로 통제한다. 또한 근거리 무선통신 기술인 비콘과 방문자의 스마트폰 앱을 연동하여 시설 출입자의 기본 정보를 서버를 통해 질병관리청에 자동 등록되도록 한다. 한편, 개인정보 보호를 위해 서버에 등록된 방문자 출입 정보는 암호화되어 보관되며, 최대 4주 후 자동 폐기된다. 제안된 시스템은 전 세계적으로 높은 확산세를 기록하고 있는 코로나 바이러스에 대한 대응은 물론 기타 신종감염병 확산 방지 및 대응에도 매우 효과적으로 활용될 수 있을 것으로 기대된다.

Keywords

References

  1. http://www.cdc.go.kr/cdc/, Korea Disease Controland Prevention Agency
  2. http://news.khan.co.kr/kh_news/khan_art_view.html?art_id=202005091424001, 2020.05.09.
  3. https://news.joins.com/article/23879973, 2020.09.24
  4. https://www.sedaily.com/NewsView/1Z91G99CAH,2020.10.07
  5. Geon-Bo Kwon, "Preventive measures against Infectious Disease and Information Human Rights," Public Law Journal, Vol. 21, No. 3, pp. 3-32, 2020.
  6. Bong-Jae Jeong, "A Study on the Facial Expression Recognition using Deep Learning Technique," International Journal of Advanced Culture Technology, Vol. 6, No. 1, pp. 60-67, 2018. DOI : 10.17703/IJACT.2018.6.1.60
  7. Se-Jin Choi, Jun-Mo Jung, "A Method for accelerating training of Convolutional Neural Network," The Journal of the Convergence on Culture Technology, Vol. 3, No. 4, pp. 171-175, 2017. DOI : 10.17801/JCCT.2017.3.4.171
  8. M. Sandler, A. Howard, M. Zhu, A. Zhmoginov and L. Chen, "MobileNetV2: Inverted Residuals and Linear Bottlenecks," IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pp. 4510-4520, 2018. DOI : 10.1109/CVPR.2018.00474.
  9. Oh Am-suk. "Transmission Control Method of Beacon Signal Based on Bluetooth of Lower Electric Power," Journal of the Korea Institute of Information and Communication Engineering Vol. 20, No. 6, pp. 1136-1141, 2016. https://doi.org/10.6109/jkiice.2016.20.6.1136
  10. Chul-Hwan Yun, Jungmin So, "An indoor localization & navigation system using Bluetooth beacons," Procedings of Symposium of the Korean Institute of communications and Information Sciences, pp. 265-266, 2015.
  11. https://os.mbed.com/teams/Bluetooth-Low-Energy/code/BLE_iBeacon/
  12. Jaeheung Lee, Geonhui Chae, Geunyoung Lim, Jihwan Seol, Seongmin Choi and Sunguk Lim, "Attendance Check System combining Beacons and Biometrics," The Journal of Korean Institute of Next Generation Computing, Vol. 14, No. 2, pp. 24-32, 2018.