DOI QR코드

DOI QR Code

Reliable Digital Door Lock Control System using Face Recognition

얼굴 인식을 통한 신뢰성 있는 디지털 도어록 제어 시스템

  • Lim, Jimin (School of Computer Science and Engineering, Soongsil University) ;
  • Kim, Chan (School of Computer Science and Engineering, Soongsil University) ;
  • Cha, Wonsuk (School of Computer Science and Engineering, Soongsil University) ;
  • Han, Taemoon (School of Computer Science and Engineering, Soongsil University) ;
  • Huh, Guewon (School of Computer Science and Engineering, Soongsil University) ;
  • Song, Sanggeun (School of Computer Science and Engineering, Soongsil University) ;
  • Lee, Sangjun (School of Computer Science and Engineering, Soongsil University)
  • Received : 2013.11.13
  • Accepted : 2013.11.29
  • Published : 2013.12.30

Abstract

Automation is being progressed rapidly in various fields with the advancement of IT technology. Home automation is a typical application and is being used in a variety of ways now. Most of digital door lock systems simply support to open and close a door using the methods of password and a particular magnetic key. In this paper, we propose a intelligent digital door lock system using face recognition technology. Our proposed system can control the locking device opening and closing from a remote location after confirming the identification of the visitor via a smart device, and support the reliable and secure control of door systems.

IT 기술 발전과 함께 다양한 분야에서 자동화가 진행되고 있다. 홈오토메이션 또한 현재 다양한 형태로 적용되고 있다. 현재 이용 중인 디지털 도어록 시스템은 단순히 비밀번호 입력 및 마그네틱 전자키 방식을 통한 잠금장치의 개폐만을 지원하고 있다. 본 논문에서는 홈오토메이션과 디지털 도어록 시스템 안전성 확보를 위한 지능화된 얼굴인식기술을 활용한 도어록 시스템을 제안한다. 제안 시스템은 원격지에서 방문자의 신원을 확인한 후 이를 바탕으로 잠금장치의 개폐를 조정할 수 있으며, 이를 통해 안전한 출입 통제 관리가 가능하도록 지원해준다.

Keywords

References

  1. Digital Door Lock-Plans for Market Enlargement of Small and medium Business, Digital Valley News, Sept. 12, 2013 http://m.dvnnews.com/articleView.html?idxno=10140&menu=1
  2. M. Turk and A. Pentland, "Eigenfaces for recognition", J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991. https://doi.org/10.1162/jocn.1991.3.1.71
  3. Ju-Seung Lee, Young-Hwan Han, Seung-Hong Hong, "Face Detection using PCA-LDA and Color Information", Journal of IKEEE, vol.6, no.1, pp.72-79, 2002
  4. Hye-Kyoung Jang, Sun-Moon Oh, Dae-Seong Kang, "The Embodiment of the Real-Time Face Recognition System Using PCA-based LDA Mixture Algorithm", Journal of IEEK, vol.41, no.4, pp.473-478, 2004
  5. Embedded Opensource - Arduino, http://wiki.vctec.co.kr/opensource/arduino
  6. WiFly Shield, https://www.sparkfun.com/products/9954

Cited by

  1. Real-time Streaming and Remote Control for the Smart Door-Lock System based on Internet of Things vol.25, pp.6, 2015, https://doi.org/10.5391/JKIIS.2015.25.6.565
  2. One Grip based Doorpull Shaped Doorlock System using Fingerprint Recognition and Touch Pattern vol.26, pp.1, 2016, https://doi.org/10.5391/JKIIS.2016.26.1.030
  3. A Smart Door Lock System Using Low-Power Long-Range Wireless Technology vol.16, pp.2, 2018, https://doi.org/10.14801/jkiit.2018.16.2.93
  4. 암호화 기법을 활용한 사물인터넷 기반의 스마트 도어락 시스템 vol.27, pp.1, 2017, https://doi.org/10.5391/jkiis.2017.27.1.065
  5. 시간 동기 방식의 OTP를 이용한 디지털 도어락 시스템 vol.21, pp.5, 2013, https://doi.org/10.6109/jkiice.2017.21.5.1027
  6. IOT를 이용한 소규모 공간의 융합 잠금 장치 제안 vol.12, pp.2, 2013, https://doi.org/10.15207/jkcs.2021.12.2.045