Research and Application of Smart Lighting Management System Based on Face and Voiceprint Identity Authentication
LI Yao
CHEN Yuejun
LI Yingfei
Abstract：The traditional identity authentication method for smart lighting management systems is to register and log in using a username and password.When a user forgets their username and password,they need to retrieve the password to re authenticate,which is not conducive to the user's login verification experience.The login method based on face and voiceprint does not need to worry about the problem of user name and password forgotten,and it can be real-time face brushing and voiceprint authentication.Smart lighting management system based on face and voiceprint identity authentication uses a combination of deep convolutional neural network model training and transfer learning to authenticate the face and voiceprint system.This method allows the collection and verification of face and voiceprint at the same time,improving the system's security and anti-counterfeiting capabilities,and fully protecting user information security.
Keywords：smart lighting management systemsvoiceprint recognitionface recognitiontransfer learningconvolutional neural network(CNN)
Publication Date：2025-02-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 20-25 )