Automatic Attendance System Using Face Detection

Abstract

The conventional method of taking attendance is done manually by the teacher or the administrator
which requires considerable amount of time and efforts also involving errors and proxy attendance. As the number of
students are increasing day by day, it is a challenging task for universities or colleges to monitor and maintain the
record of the students. Automated systems involving use of biometrics like fingerprint and iris recognition are well
developed in the recent years however, it is intrusive and cost required for deployment on large scale gets increased
substantially. To overcome these issues, biometric feature like facial recognition can be used which involves the
phases such as image acquisition, face detection, feature extraction, face classification, face recognition and
eventually marking the attendance. Given a collection of images, where each image contains several faces and is
associated with a few names in the corresponding caption, the goal of face naming is to infer the correct name for
each face.This system automatically detects the student in the class room and marks the attendance by recognizing
their face. This system used two sensor they sense students entry and exit and activate cameras capturing real time
human faces in the class. The detected faces are matched against the reference faces in the dataset and marked the
attendance for the attendees. Finally the Absentee lists are said aloud through voice conversion system for
Confirmation.