The smart attendance monitoring system

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

As an important part of class teaching, attendance plays a key role in the evaluation of teaching. At the beginning and end of class, it is usually checked by the teacher, but it may appear that miss someone or some students answer multiple times. To overcome this issue, the latest technology is used to detect the faces and recognize the faces using python programming. Face Detection is the bestsignificant topics of computer technology in machine learning application. This technology has been available for some years now and is being used all over the world. In this paper, capturing the images of students from the database and faces are detected by the algorithm and then it is acknowledging with the database and at last, the attendance is recorded. For detecting faces Viola-Jones facial identification algorithm is used and for recognizing the faces from the databases(LBPH) Local Binary Patterns Histograms technique is used.

Cite

CITATION STYLE

APA

Sasi Chandra, M., & Baskar, R. (2019). The smart attendance monitoring system. International Journal of Innovative Technology and Exploring Engineering, 8(11 Special Issue), 62–66. https://doi.org/10.35940/ijitee.K1013.09811S19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free