Authors :
Diwakar Dhillon; Gosiya Kaleem; Deepanshu Kumar; Mohit kumar
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
DOI :
https://doi.org/10.5281/zenodo.6547858
Abstract :
The automated attendance system described in
this article was created using the MATLAB
programminglanguage. We want to build a "Automated
Attendance System Based on Facial Recognition," which
will be useful for a variety of purposes in a variety of
settings. In order to accommodate the face authorization,
the application includes face identification, which saves
time while also eliminating the potential of proxy
attendance. Therefore, this technologymay be employed
in a situation when attendance is crucial. Built on the
MATLAB platform, the system is easy to use. The
Principal Component Analysis (PCA) approach, which is
based on eigen faces, is used in the proposed system. This
approach evaluates the test and training photos in order
to identify which students are present and which
students are not present on the test and training images.
A record of attendance is maintained in an excel sheet
that is automaticallyupdated by the system. Because it is
time-consuming and has a high risk of error throughout
the data-input process, the conventional system fails to
manage student attendance in a large classroom. In this
study, an automated attendance marking system based
on face recognition was developed and shown.
Keywords :
smart attendance; MATLAB; face recognition; image processing
The automated attendance system described in
this article was created using the MATLAB
programminglanguage. We want to build a "Automated
Attendance System Based on Facial Recognition," which
will be useful for a variety of purposes in a variety of
settings. In order to accommodate the face authorization,
the application includes face identification, which saves
time while also eliminating the potential of proxy
attendance. Therefore, this technologymay be employed
in a situation when attendance is crucial. Built on the
MATLAB platform, the system is easy to use. The
Principal Component Analysis (PCA) approach, which is
based on eigen faces, is used in the proposed system. This
approach evaluates the test and training photos in order
to identify which students are present and which
students are not present on the test and training images.
A record of attendance is maintained in an excel sheet
that is automaticallyupdated by the system. Because it is
time-consuming and has a high risk of error throughout
the data-input process, the conventional system fails to
manage student attendance in a large classroom. In this
study, an automated attendance marking system based
on face recognition was developed and shown.
Keywords :
smart attendance; MATLAB; face recognition; image processing
