Published Paper Details:

In this project, face of a person is used for the aim of attendance making automatically. As Attendance plays an important role for each college, universities and schools. A number of an automated biometric-based attendance system are projected within the literature reviews, poor system models have negatively affected their performance. Hence, a necessity to handle the various desires needed with the development of an AI-based attendance observation system. Attendance observation System is important in all organizations for checking the performance of students and it is not easy task to check each and every student is present or not. As we can see in all organization attendance are taken manually by calling their roll numbers or names and marked present in registers issued by the department heads as a proof and in some organizations the students wish to sign on these sheets which are stored for future references. In this system, we use are using the technique of utilization of face detection and recognition framework to endlessly recognize students going to class or not and marking their attendance by comparing their faces with stored information in database to match and marking attendance. This facial biometric framework takes an image of a person using camera and distinction image with the stored image in the database at the time of enrolment and if it matches, marks the attendance and monitor the student performance endlessly. We may use the concept of artificial intelligence to observe student attendance like capturing the motion photos of the student when present in class to analyse the student data how much time the student presents in class.