Face Recognition Based Attendance Management System Using Machine Learning
Anju V Das, Anjana Shyju, Thomas Varghese, Nisha Mohan P M
Android application, Biometric, Recognition system, Face Recognition, Deep Learning, Portable Document Format.
Attendance is a compulsory requirement of every organization. Maintaining attendance register daily is a difficult and time consuming task. There are many automated methods for the same available like Biometric, RFID, eye detection, voice recognition, and many more. This paper provides 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 overcomes the ambiguities like fake attendance, high cost, and time consumption. This system uses face recognizer library for facial recognition and storing attendance. It has a camera that captures 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 captures the image and sends it to the server where faces are recognized from the database and attendance is calculated on basis of it. The purpose of reducing the errors that occur in the traditional attendance taking system has been achieved by implementing this automated attendance system using deep learning. Face recognition system have been presented using deep learning which exhibits robustness towards recognition of the users with accuracy of 98.3% and result is converted into a PDF.
Article Details
Unique Paper ID: 148148

Publication Volume & Issue: Volume 5, Issue 12

Page(s): 740 - 743
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management


Last Date: 7th November 2021

Go To Issue

Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Email: editor@ijirt.org
Website: ijirt.org