Automatic Attendance Management Based on Facial Recognition

Anay Srivastav; Aditya Chauhan; Tuhin Paul

Abstract

Even today the institutions use inefficient traditional manual attendance system. The traditional roll call method is not just inefficient rather it is quite time consuming. So it is necessary to develop a way that is automatic, fast and much efficient. The paper is one such solution to that problem. The system trains a model that has information of all the students and that model can be used to recognise a student in class and thus automatically after recognising, the student will be marked present in the database. The student can even verify his/her attendance. The whole work will be done by system and hence this way the process can be made effective and time consuming.

Keywords

Facial Recognition, Machine Learning, Automatic Attendance Management

Reference

[1] Sarabjit Singh, Amritpal Kaur, Taqdir, A Face Recognition Technique using Local Binary Pattern Method, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 3, March 2015.

[2] Learning OpenCV: Computer Vision with the OpenCV Library by Gary Rost Bradski O’REILLY.

[3]opencv.org,‘OpenCVPythonTutorials’,2014.[Online].Available:https://docs.open cv.org/3.0- alpha/doc/py_tutorials/py_tutorials.html.[Accessed: 26- April- 2019]

[4] citethisforme.com, 'Face recognition using OpenCV and Python: A beginner's guide', 2017.[Online].Available:https://www.superdatascience.com /blogs/opencv-face-recognition.[Accessed: 26- April2019].

[5] Arup Nanda, 'Learning Python for PL/SQL Developers', 2016. [Online]. Available: https://community.oracle.com/docs/DOC-1005069. [Accessed: 26- April- 2019]

Cites this article as

A. S. , A. C. , T. P. , "Automatic Attendance Management Based on Facial Recognition", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-6, Page No-236-237, 2018. Available from: