Smart Attendance Management System Using Face Recognition

Author:

Reddy K. V. Prasad1,Latha R. Chaitanya2,Lohitha M.2,Sonia R.2,Usha A. B.2

Affiliation:

1. Associate Professor, Department of Computer Science and Engineering, Sanskrithi School of Engineering, Puttaparthi, Andhra Pradesh, India

2. B.TECH. Scholar, Department of Computer Science and Engineering, Sanskrithi School of Engineering, Puttaparthi, Andhra Pradesh, India

Abstract

To Maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The smart attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain. There are many biometric processes, in that face recognition is the best method. Here we are using the computer vision which is a field of deep learning that is used for the camera reading and writing and using TkInter to create a GUI application.

Publisher

Technoscience Academy

Subject

General Medicine

Reference12 articles.

1. EAI Endorsed Transactions on Creative Technologies Research Article on Smart Attendance Management System Using Face Recognition Kaneez Laila Bhatti, Laraib Mughal, Faheem Yar Khuhawar, Sheeraz Ahmed Memon Dept. of Telecommunication Engineering, MUET,2018.

2. Smart Attendance Management System Based On Face Recognition Algorithm by1M.Kasiselvanathan,2Dr.A.Kalaiselvi ,3Dr.S.P.Vimal,4V.Sangeet4Assistant Professor Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India,2020.

3. Naveed Khan Balcoh, M. HaroonYousaf, Waqar Ahma and M. Iram Baig, Algorithm for efficient Attendance Management: Face Recognition Based approach, International Journal of Computer Science Issue, Vol.9, Issue 4, No 1, July 2012.

4. NirmalayaKar, MrinalKanti Debbarma, Ashim Saha, and Dwijen RudraPal, Study of implementing Automated Attendance System using Implementing Automated Attendance System Using face recognition Technique, International Journal of Computer and Communication Engineering, Vol 1, No 2,July 2012

5. O. Shoewn, Development of Attendance Management System using Biometrics. The Pacific Journal of Science and Technology Volume 13, No 1, May 2012

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