Attendance System Based on Face Recognition and GPS Tracking and Positioning

This paper analyzes the current attendance system with time-consuming, labor-intensive, low efficiency and many other shortcomings, and proposes an attendance system based on face recognition and GPS tracking and positioning. We have set up a number of functions in this system, not only adding a manual part, but also solving the phenomenon of students asking for leave and being late on the attendance system. At the same time, the system can meet the basic needs of classroom attendance. Whenever the class teacher is ready to start attendance, students can sign in according to the teacher's instructions. Facial recognition is used to determine the identity of the student, and the location of the teacher and the student is further determined through the mobile phone GPS tracking and positioning. If the specified range is met, the sign-in can be successfully achieved. After the course is over, turn on the sign-out function, and perform face recognition and GPS positioning again. Accurate and more efficient make up for the shortcomings of traditional mode of attendance.