Classroom Attendance Management System Using Camera

Authors

  • Basavajyoti Gornale PG Student, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India
  • P. Kiran Associate Professor, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India

Keywords:

Facial detection, Facial recognition, Haar cascade object detection algorithm, LBPH Face recognition algorithm, Max Margin Face Detection (MMFD)

Abstract

The management of the attendance can be an extraordinary load on the instructors in the event that it is finished by hand. To determine this issue, smart and auto attendance management system is being utilized. In any case, validation is a remarkable issue in this system. The smart participation framework is commonly executed with the assistance of biometrics. Face acknowledgment is one of the biometric techniques to improve this framework. To make a robotized participation framework for understudies utilizes face acknowledgment strategy by utilizing Max-Margin Face Detection (MMFD). One of the significant difficulties in a study hall is to build up PC vision based classroom attendance management system. The proposed framework utilizes the lens for catching the faces of understudies and Max Margin Face Detection (MMFD) strategy for the face recognition and the model is prepared utilizing the Inception-V3 CNN method for the understudies' recognition.

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Published

20-08-2020

Issue

Section

Articles

How to Cite

[1]
B. Gornale and P. Kiran, “Classroom Attendance Management System Using Camera”, IJRESM, vol. 3, no. 8, pp. 327–330, Aug. 2020, Accessed: Jun. 15, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/191