Automated Attendances System Using Face Recognition with the Help of Machine Learning

Automated Attendances System Using Face Recognition with the Help of Machine Learning

Abstract: Internet are the things discover and it is used all over a world very beneficially in human body face is        the crucial factor for identifying each person. It can be identified By using different method like biometric for taking attendance. But in this method takeMany more time are required to take attendance and also people are in contact  With Each other while marking their attendance in this pandemic situation we are introducing New technology student attendance system using face recognition. They can identify the Face and detect in webcam and live video stream and automatically mark the Attendance generally in   a classroom the attendance was taken manually at ending or Beginning of the class. The problem is that they required a lot of time to be taken and Some manual and paper work will make a chance of mistake. To overcome from this problem We are introducing face recognition base attendance system. Face recognition is a Methodology in which person or group of person can be identify from digital image orLive stream video. We are introducing the new technology the automated attendance   System using face recognition in this method we are used fisher igen algorithm, face Detection, cnn, knn, and fisher face to detect the face in camera and recognized person  Mark the attendance and store in the form of excel sheet. All the data are stored in firebase    Cloud we are access date wise data with the help of authorized person. Attendance are stored in excel sheet .it can implemented easily have good accuracy.

Keywords: - Face recognitions, Face detection, Haar classifier, CNN, KNN, SVM,   LBPH, fisher face detection, fisher    egien, image processing Automated attendance, Webcam, image dataset.