AN INTELLIGENT AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM FOR STUDENTS USING FACE RECOGNITION

Recognition. In this fast-evolving generation, attendance is usually a problem among the school community and so as the business community. one among the foremost efficient solution for this problem is that the Digital Attendance System. Nowadays Computers play a vital role in many fields. Likewise, in this field also, we will make an efficient use of it. This unique scholar's attendance system based on face recognition, is a method to identify and recognizing faces of the student with the help of images captured from a high-quality camera and uploading the attendance of every student automatically, rather than manual attendance uploading process. In our face recognition project, a smart system is going to be ready to capture a frame from a video and process it accurately and predict which of the scholar is present therein class. There are some algorithms and programs to detect the face of an individual, but the concept to be implemented here is Neural Networks. In this we have used a neural network, we will capture the image of class and extract the face image, then pre-process it for a clear face, and will be given to the trained network so the face of the student will be often identified and updated automatically within the database.