Implementation of Smart Attendance Monitoring Using Open-CV and Python

Abstract

Uniqueness or individuality of a person is his face. In this paper, face of an individual is used for the purpose of attendance taking automatically. Maintaining attendance of a student is very important task in all the institutes to check the performance of students. Every institute has its own way for taking attendance. Some of the institutes use paper or file based approach, and some are using methods of automatic attendance taking using biometrics methods which is very time consuming process. There are many methods available for this purpose. Facial recognition may be a unambiguously distinctive or corroboratory an individual by comparison and analysing the patterns supported person’s facial contours. Facial recognition is mostly used for security purposes at so many places. This process can be divided into two phases, processing before recognition where face detection takes place, and afterwards face recognition takes place through feature extraction and matching steps. This system uses the face recognition for taking automatic attendance of students in the classroom without student’s intervention. This attendance is recorded by using a camera that captures images of students and detect the faces after which it compares and faces are detected with the database and mark the attendance for the students. Attendance sheet will be generated and message will be sent to the parents.