基于人脸识别的智能考勤系统研发

Research and Development of Intelligent Attendance System Based on Face Recognition

随着人工智能的迅速发展,智能化在许多领域得到了广泛的应用。针对目前传统课堂考勤方式技术手段滞后的问题,文章采用人脸智能识别技术,研究开发了一套基于人脸识别的智能考勤软硬件系统。此系统采用树莓派和摄像头作为硬件,利用深度模型CNN中的ResNet模型,来实现人脸智能识别,最终实现了课堂考勤的自动化,提升了课堂勤技术水平,节省了大量的课堂时间,方便实用。

With the rapid development of artificial intelligence,intelligence has been widely used in many fields.Aiming at the problem that the traditional classroom attendance method is lagging behind,a set of intelligent attendance software and hardware system based on face recognition is developed by using face intelligent recognition technology.The system uses Raspberry Pie and camera as hardware,and uses ResNet model of CNN to realize intelligent face recognition.`Finally,it realizes the automation of class attendance,improves the level of classroom attendance,saves a lot of classroom time,and is convenient and practical.