Face recognition based attendance management system by using machine learning

Attendance is an important need of every organization. Maintaining daily attendance register is a tough and time consuming task. There are many alternative methods for marking the attendence like Biometric, RFID, eye detection, voice recognition, and many more. But Facial Recognition is an efficient and smart method for marking attendance. As it is known that primary identification for any human is its face, face recognition provides an accurate system which deals with the ambiguities like proxy in attendance, high cost, and time consumption. This system uses face recognizer library for facial recognition and storing attendance. It has a camera that takes an input image, an algorithm to detect a face from the input image, encode it and recognize the face and mark the attendance in a spreadsheet. The system camera of an android phone/laptop clicks the image and sends it to the server where faces are recognized from the database and attendance is calculated on basis of it. The aim of reducing the errors that occur in the older attendance marking system has been achieved by implementing the automated attendance system using deep learning. Face recognition system has been presented using deep learning which shows robustness towards recognition of the users with accuracy of 98.3% and result is converted into a PDF File. Index Terms- Android application, Biometric, Recognition system, Face Recognition, Deep Learning, PDF.