Browse > Article
http://dx.doi.org/10.15207/JKCS.2022.13.04.045

Design of an Visitor Identification system for the Front Door of an Apartment using Deep learning  

Lee, Min-Hye (Center for General Education, Wonkwang University)
Mun, Hyung-Jin (Dept. of Information & Communication Engineering, Sungkyul University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.4, 2022 , pp. 45-51 More about this Journal
Abstract
Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.
Keywords
Front door; Deep learning; Visitor identification; Authentication; Face recognition; Voice recognition; Speaker Authentication;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 W. L. Kim, H. W. Ham, S. U. Yun, & W. J. Lee (2021). A Design and Implementation of Speech Recognition and Synthetic Application for Hearing-Impairment. Journal of the Korea Society of Computer and Information, 26(12), 105-110. DOI : 10.9708/JKSCI.2021.26.12.105   DOI
2 S. G. Jang, H. M. Kim,, B. G. Seo & J. I. Park. (2021). 3D photorealistic avatar creation technology for immersive remote meeting. Broadcasting and Media Magazine, 26(3), 50-58.
3 S. Moon, K. Min, J. Seo, S. Lee & Y. Ko. (2020). Development of the Smart Doorlock with Triple Security Function. The Journal of the Korea Institute of Electronic Communication Sciences, 15(1), 115-124. DOI : 10.13067/JKIECS.2020.15.1.115   DOI
4 T. K. Kim & Y. G. Kwon, J. E. Jeong, G. G. Jeon (2017). A Smart doorlock with recognition of facial and speaker. Proceedings of the Korea Information Processing Society Conference, 569-570. DOI : 10.3745/PKIPS.y2017m11a.569   DOI
5 D. J. Kim, S. H. Lee, & M. K. Sohn.(2016). Facial Expression Recognition Using SIFT Descriptor. KIPS transactions on software and data engineering, 5(2), 89-94. DOI : 10.3745/KTSDE.2016.5.2.89   DOI
6 S. Y. Min, K. H. Lee, D.S. Lee & D. Y. Ryu. (2020). A Study on Quantitative Evaluation Method for STT Engine Accuracy based on Korean Characteristics. Journal of the Korea Academia-Industrial cooperation Society, 21(7), 699-707. DOI : 10.5762/KAIS.2020.21.7.699   DOI
7 S. H. Lee. (2021). Face Recognition Using Automatic Face Enrollment and Update for Access Control in Apartment Building Entrance. Journal of the Korea Institute of Information and Communication Engineering, 25(9), 1152-1157.   DOI
8 W. J. Hwang. (2017). Deep Learning-based Face Detection. Landmark Detection, and Face Recognition Technology Research Trends. Broadcasting and Media Magazine, 22(4), 41-49.
9 S. H. Lee. (2021). Design and Implementation of Visitor Access Control System using Deep learning Face Recognition. Journal of digital convergence, 19(2), 245-251. DOI : 10.14400/JDC.2021.19.2.245   DOI
10 M. H. Lee, & H. J. Mun. (2020). Comparison Analysis and Case Study for Deep Learning-based Object Detection Algorithm. International Journal of Advanced Science and Convergence, 2(4), 7-16. DOI : 10.22662/IJASC.2020.2.4.007   DOI
11 M. Kim, & J. Moon. (2019). Speaker Verification Model Using Short-Time Fourier Transform and Recurrent Neural Network. Journal of the Korea Institute of Information Security & Cryptology, 29(6), 1393-1401. DOI : 10.13089/JKIISC.2019.29.6.1393   DOI
12 H. J. Mun & G. H. Kim (2019). A Survey on Deep Learning based Face Recognition for User Authentication. Journal of Industrial Convergence, 17(3), 23-29. DOI : 10.22678/JIC.2019.17.3.023   DOI
13 Niko. (Mar 19, 2019). Github, 81 Facial Landmarks Shape Predictor. https://github.com/codeniko/shape_predictor_81_face_landmarks
14 D. W. Lee, S. H. Lee, H. H. Han & G. S. Chae. (2019). Improved Skin Color Extraction Based on Flood Fill for Face Detection. Journal of the Korea Convergence Society, 10(6), 7-14. DOI : 10.15207/JKCS.2019.10.6.007   DOI