automatic-attendence-management

Automatic Face Detection and Attendance Management System deal with the maintenance of the student’s attendance details by solving the issues of existing manual systems It generates the attendance of the student on basis of presence in class. It maintains the record on daily basis of attendance, the individuals are provided with the separate username and password to mark the attendance. The student who is not registered will also be able to register on the spot and notification will be given if students sign in more than once. The average accuracy of recognition is 100 % for good quality images, 94.12 % of low-quality images and 95.76 % for Yale face database when two images per person are trained