Automatic Attendance System Using Artificial Intelligence

Abstract

The traditional attendance method involves instructors marking registers, which leads to human error and a lot of upkeep. In the existing system, time consumption is a significant problem. We have considered revolutionising it by using new digital techniques, such as FACE RECOGNITION. The proposed framework will result in increased accuracy and little manual labour. To address the issues of the traditional system, the project has been modernised. The proposed system is on face recognition and then recording attendance. The database of all the students in the class is maintained, and attendance is noted when the individual student's face matches one of the faces stored images; otherwise, the face is disregarded, and attendance is not marked. The multiple faces are detected in the camera simultaneously which helps in real time marking system. The proposed framework employed the HAAR features to find the face in the image using the HAAR cascading classifiers and it is implemented in the python.