透過您的圖書館登入
IP:18.216.32.116
  • 期刊

Design and Implementation of Intelligent Access Control System based on FaceNet

摘要


This paper designs a face recognition intelligent access control system based on deep learning FaceNet network to meet the security needs of dormitory apartments, office buildings and other places. The system mainly uses the Keras deep learning framework to write the face recognition server program based on the FaceNet algorithm, compares and connects with the door lock control program, the microcontroller and the steering gear, and realizes the door lock control, face registration, access rights management, etc.

參考文獻


Rumelhart D E, Hinton G E, Williams R J. Learning Representations by Back-propagating Errors[J]. Nature, 1986, 323(6088): 533-536.
Zeiler M D, Fergus R. Visualizing and Understanding Convolutional Networks, European conference on computer vision (Zurich, Switzerland, September 6-12, 2014) Vol.1 p818.
Szegedy C, Liu W, Jia Y, et al. Going Deeper with Convolutions, Proceedings of the IEEE conference on computer vision and pattern recognition (Boston, MA, Jun 7 -12, 2015) Vol.1 p9.

延伸閱讀