Automatic Attendance Monitoring Using Python

Abstract

Face detection and recognition are very
important and required in today’s fast world.
The issue of the regularity of students would
be maintained. This software uses facial
recognition which is very fast and accurate,
hence there is no chance of fake attendance, it
is purely software-based which means it is
eco-friendly, with no consumption of paper at
any time of the process. Our project can be
implemented in the field of recording
attendance. The motive of the project is to
construct a face recognition system for
tracking attendance in an organization and
update the current or traditional attendance
system into an advanced and automatic
system for effective attendance monitoring. In
the project, a database is created which
contains the face and feed data that will be
used by the recognition algorithm. When the
student enters the class or the attendance
session starts, then the data of students is
already stored and will be fetched from there
to check the identity of a particular student. If
the data points match the identity then they
are allocated to the attendance or marked as
present and the information about it will be
directly stored in the spreadsheet. All the data
related to the student will also be linked to the
student's profile so if the student wants to
access other information like progress,
project marks, and subject marks then they
can request access, once the access is
approved the student would automatically be
able to track his/her progress so far