A NOVEL APPROACH FOR ATTENDANCE MANAGEMENT SYSTEM THROUGH FACE DETECTION USING MACHINE LEARNING









Abstract

The digital revolution is transforming our world and face detection becomes very important in this revolution. Some of its advantages are we can use face detection for security and identification purposes. Though it has low accuracy but even used in many sectors like school, colleges, offices and also in defence because of its contactless process. We can also use face detection technique for attendance marking. So our objective is to build attendance management system for our college. Current manual attendance system is time consuming and there are chances of proxy attendance. Our attendance management system succeed in dealing with this two disadvantages of manual attendance system. Our system consists of four phases: database creation, face detection, face recognition, attendance updation. Database is created by the images of the students in class. Face detection and recognition is performed using Haar-Cascade classifier and Local Binary Pattern Histogram(LBPH) algorithm. Faces are detected and recognized from live streaming video of the classroom and attendance is marked according to student’s name and roll-no. We hope that this project will help our faculties regarding attendance management.


Modules


Algorithms


Software And Hardware