Smart Attendance Monitoring System using Face Recognition

Smart attendance monitoring system using
face recognition

COMPUTER VISION 1
Aim of the project
The major aim of this research project is to design and implement a smart attendance
monitoring system with the help of a face recognition system. this project focuses on the
face recognition technique and automatically detects and registers the attendance of
students.
The objective of the project
There are the following objectives of this study:
 To decrease the errors by developing an automatic system for attendance of
students
 To evaluate the automated attendance system for students
 To test and execute the developed system with the help of experimental data or
information
 To implement a system for identifying and obtaining the attendance of students
with the help of face recognition
Scope of the project
The major scope of this research project is to design and implement an automatic
system for monitoring the attendance of students by using the software. Such kind of
system can help schools and colleges for reducing errors while obtaining the attendance
of students [1]. It is very complex to identify the real time of student for which face
recognition system can be used that detects the face of students. Moreover, in order to
capture the real time, individual face custom APIs can be used and a component analysis
approach will be used for analysing the obtained data and information. However, the
complete system is designed and implemented with the help of non-intrusive camera
produced in a classroom that scans the rooms and detects numbers of students in the
class room [5]. After detecting faces of students the data will be compared with the
stored data base.
Research questions and problem statement
 There are the following research questions of this project:

COMPUTER VISION 2
 What is the fundamental concept of face recognition?
 How face recognition help for controlling and monitoring the attendance of
students?
 What are hardware and software require for performing smart attendance
system?
In this modern era, the attendance is controlled and managed manually due to which
the consumers and management faced numbers of problems and difficulties, for
example, data entry issue, enhance the level of work load and consume more time [9].
Moreover, previous developed techniques and systems were suffered from less
reliability, less effective and did not detect the face of students in an effective manner. In
order to reduce such kind of problem, this research study will adopt a face recognition
process that has the potential for capturing the face of human and also help for
monitoring the attendance of students [10].
Literature review
According to Abas, Tuck and Dahlui, (2014) facial recognition are one of the best
biometric technologies which are used in various sectors such as security system, image
processing and human machine communication [1]. Today, face recognition is used in
for controlling and monitoring the attendance in the class room because it is one of the
best approaches for detecting human interaction [8]. The researcher designed and
implemented an automated attendance system which involved face recognition
approach in order to reduce the burden for taking attendance of students. Moreover,
Eigen faces is a technique used by researchers for capturing faces of consumers and it
provides more than 95% success for obtaining the presence of students in the class
room. Arsenovic, et al., (2017) developed and produced a finger print system for
monitoring of attendance where student placed in this finger on the sensor during the
lecture time without instructor's intervention [2].
Such kind of process delivers a fool proof technique for marking the attendance and not
much effective for detecting the attendance in the class room. In this system, the
researchers used an RFID system that collect the identity of students and record their
attendance. From this paper, it has found that the finger print system is less effective
and less secure due to which many companies and universities adopted the face