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Proceedings Paper

Research on face recognition technology and its application in intelligent security
Author(s): Haibo Chen; Lei Liu; Jing Tang
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Paper Abstract

With the rapid development of artificial intelligence, face recognition, as an important part of artificial intelligence, has a tremendous impact on people's lives. This paper aims to improve the accuracy and rapidity of face recognition by using deep learning and cloud computing technology, as well as to provide face recognition service for intelligent security system. Firstly, the Convolutional Neural Network (CNN) is introduced and Large Margin Cosine Loss (LMCL)+Center Loss is proposed as the loss function of CNN to train the face feature extraction model. Then, combined with cloud computing technology, a parallel model training and face recognition implementation scheme are proposed to solve the problems of large amount of data and slow model training faced by face recognition technology. Finally, the face recognition scheme is applied to the intelligent security system of a telecommunications operators, and good results are achieved.

Paper Details

Date Published: 27 November 2019
PDF: 8 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 1132122 (27 November 2019); doi: 10.1117/12.2542772
Show Author Affiliations
Haibo Chen, China Unicom (China)
Lei Liu, China Unicom (China)
Jing Tang, China Unicom (China)


Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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