A Smart Digital Attendance Monitoring System for Academic Institution Using Machine Learning Techniques

Abstract

Face Recognition is the one of the foremost emerging and interesting technology. In this fast-evolving generation, attendance is usually a problem among school community and so as business community. One among the foremost efficient solution for this problem is that the Digital Attendance System. Now a days Computers plays a vital role in many fields. Likewise, in this field also, we will make an efficient use of it. Face detection and recognition-based attendance system may be a process of identifying face of the scholars using image of a face on the idea of high - definition monitor video and uploading the attendance of every student automatically, rather than manual attendance uploading process. In our face recognition Research work, 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 number of algorithms and programme to detect the face of an individual, but the concept to be implemented here is Neural Networks. We used Neural Networks because, it will be used for the extraction of the frames from the video and convert it into images in so the face of the scholar will be often identified and updated automatically within the database.