Design of Intelligent Attendance System Based on Face Liveness Detection
With the rapid development of Artificial Intelligence technology,the application of face liveness detection technology in intelligent attendance system has become one of the hot spots in the academic and industrial circles.This study focuses on an intelligent attendance system based on face liveness detection,and aims to explore its potential to improve attendance efficiency and accuracy.Through in-depth research on advanced face recognition algorithms,Convolutional Neural Networks and Support Vector Machine and other Deep Learning models,combined with high-precision and real-time liveness detection technology,the system can accurately distinguish real faces from other forms of fraudulent behavior,ensuring the reliability and security of attendance data.The system not only realizes the automatic management of the attendance process,but also provides real-time monitoring and feedback functions,making the attendance records more comprehensive and traceable.Ultimately,this convenient,efficient,and safe solution provides strong support for the attendance management of universities and other institutions,and brings new possibilities for education and enterprise management.
万方数据
维普
