Attendance System Using Face Recognition and Class Monitoring System

In this paper, we propose a system that takes the attendance of students in the lecture. This system takes the attendance automatically using face recognition. However, it is difficult to estimate the attendance exactly using each result of face recognition independently because the face detection rate is not sufficiently high. In our paper, we propose a method for estimating the attendance exactly using all the results of face recognition obtained by continuous observation. Continuous observation improves the performance for the estimation of the attendance. We constructed the attendance system based on face recognition, and applied the system to classroom lecture. In our system, we are using raspberry pi. we use OpenCv library which is installed in pi for face detection and recognition. The camera is connected to raspberry pi and student database is stored in the pi. With the help of this system time will reduce and attendance will be marked. In this paper first review similar works in the field of attendance system and recognition of face. Then, it showing our system structure and plan. At the last, experiments are implemented to provide as manifest to support our plan. The result shows that uninterrupted observation improved the performance for the approximation of the attendance