Future Scope of Face Recognition in Attendance Systems Research

This report delves into the future scope of face recognition in attendance systems, examining its current applications and potential advancements. The literature review highlights the use of facial recognition technology in educational settings, emphasizing its efficiency in recording student attendance and saving educators' time. The methodology section discusses research approaches, including deductive and descriptive designs, and the use of both primary and secondary sources. The report also explores algorithms like Viola-Jones and partial face recognition, which are crucial for the development of smart attendance systems. Furthermore, it addresses the benefits of facial recognition, such as eliminating proxy attendance and improving the quality of educational systems, while also acknowledging the challenges and limitations of the technology. Overall, the report provides a comprehensive overview of the current state and future prospects of facial recognition in attendance systems, making it a valuable resource for understanding the evolving landscape of biometric technology.

Running head: FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
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1FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
Table of Contents
Literature Review.......................................................................................................................2
Methodology..............................................................................................................................5
References..................................................................................................................................8

2FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
Literature Review
According to Miller (2018), facial Recognition technology and all the related software
have been offering a number of opportunities belonging to the educators, and especially in
accordance to the recording of the attendance present within the classroom. Spending of so
much of time within the classroom by the educators in providing educational knowledge, the
presence of a facial recognition system to take the individual attendance of students present in
the class to save the time of the professors. In reference to the current practice, this particular
technology is considered to be very new. Travelling back to the last decade, the
advancements that have taken place in relation to the introduction of facial recognition
techniques have been made public to the individuals. Major part of the research has been
completely initiated by the intelligent community to keep a track upon the personal interest of
the people. However, all of these researches have been become one of the common practices
by all the businesses operating on a large scale. The organizations such as Amazon as well as
a Microsoft, have undertaken this specific opportunity to provision the customers with the
with the specific access to the servers as well as the API’s that provide the concerned
individuals with the allowance to implement the software related to facial recognition into
their personal lives along with that of the businesses. There has also been the existence of a
number of organizations that have put forward the proposal to develop their own facial
recognition programs by utilizing the present libraries such as the likes of OpenCV.
As stated by Deephanphongs (2019), in reference to some of the suggestions, a
method specifically meant for the measurement of the amount of viewership in relation to the
content of media that is particularly disclosed. This particular method is performed within the
system of the client. The system belonging to the client specifically captures the presence of
the data belonging to one or more than one user in regards to the system of the client using a

3FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
camera. The system of the client then follows a process of analysis to capture the present data
in order to determine if a specific user is a permanent participant in the field of media
viewership. In regards to the determination of that individual person to a be a participant
within the study related to media viewership. The system belonging to the client creates all
the data related to the viewership completely based upon the user as well as the content of the
media that is being displayed within the proximity in accordance to the user along with the
transmission of the viewership data within the server system. Hence, in reference to this
specific scenario, the utilization of the software related to the technology of facial recognition
is specifically utilized by the related business organizations to facial recognize the
participants that have been a constant viewer, in comparison to the individuals that do not
view the content on a regular basis.
As discussed by Mehta et al. (2017), recording of the attendance is considered to be
one of the more essential task that needs to be carried out by every single institute to be
approximate. There is the existence of a number of traditionally existing methods meant to
carry out the same procedure. However, each of the specific methods have a different kind of
drawback attached to itself along with the additional negative aspect of being time
consuming. For instance, the system for manual recording of the attendance, has the
additional drawback of getting manipulated as well as monotonous. Hence, it demands for a
specific need of a method that consists of the potential capability to overcome all of the
drawbacks related to the traditional methods that have been mentioned beforehand and
perform the activity of marking the attendance in a much more efficient way. As a reason of
this, the paper includes the primary aim of marking the attendance of the concerned
individuals utilizing the technology directly related to that of facial recognition. The human
face can be successfully utilized to mark the attendance of the student or might as well of the
employee as well as can play a vital part for the purpose completely belonging to the

4FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
procedure of verification. This method of facial recognition can also practically avoid the
unethical practice of giving proxies belonging to a person who is not even present within the
premise of the institute or the organization.
As placed forward by Surekha et al. (2017), in reference to the current situation of the
world, maintaining a record of the attendance of the student has to play a major role towards
the improvement of the quality of the respective educational system. The labor manually
working within the inclusion of the maintenance as well as the management of the attendance
sheets belonging to the traditional system that is considered to be tedious having cost quite a
specific amount of time for the lecturer. Hence, this requires a specific need for a system that
is completely computerized as well as depends upon the feature of biometry. In here, the face
recognition techniques have been considered to be the most potential replacements to such
method traditionally working for ages. This newly proposed technology also makes the work
easy for the attendance taking if the number of students that need to be addressed are
specifically more in count. This article to be specific puts forward a brief overview of the
existing system of attendance, the vulnerabilities existing along with it, as well as the
potential replacement of the conventional systems with that of the facial recognition
technology. A smart system of attendance for the capturing as well as managing has been
completely designed based upon the Viola-Jones algorithm along with the partial face
recognition algorithms. The partial algorithm has been introduced for the proper working of
the attendance system in both of the existing environments, namely controlled and
uncontrolled. The system however, has a working rate of 100% efficiency under the
controlled environment. On the other hand, the system has a much lower rate of working
efficiency of 60% ion reference to the uncontrolled environment.

5FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
Methodology
Research methodology is specifically the section that provides with a helping hand in
putting forward a particular definition in regards to the most appropriate approach that
specifically needs an adoption of attaining the completion as well as the detailed results
related directly to the purpose. It has again been discussed that, the theories along with that of
the concepts that have been particularly adopted within the research methodology helps in
containing a much deeper as well as a better procedure for analyzing the topic that has been
undertaken particularly for this research [5]. Applications belonging to the research
methodology again provides with a helping hand in putting forward an understanding of the
specific procedure that has been again adopted for the specific analysis within this particular
research belonging to the customers ability to take a decision as well as role of the branding
in relation to the procedure. On the contrary, it has been pointed that the detailed procedure
related to the methodology for the research also aims at working with the common errors that
may have given rise to the limits that need to be abided while undergoing the procedure
meant for the research [10]. In addition to this, the researcher has also made attempts towards
the application of each of the detailed procedure belonging to the research methodology that
can help with a much better method of analysis within the decision-making procedure
entirely taken in by the customers.
Within the particular section entirely belonging to the methods incorporated for the
research, detailed techniques meant for the research has been chosen for the analysis of the
branding in a proper manner as well as to have a greater influence within the decision -
making procedure undertaken by the customers [13]. The selected philosophy meant for the
research is considered to be positive that can provide with a separate helping hand towards
the gaining of all the information completely based upon the proper logic as well as the
evaluation. Following this, the deductive approach shall allow all the researchers to have

6FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
conducted a specific study completely based upon the secondary sources that can provide a
much better definition in accordance to the behavior of the customer as well as the specific
influence related to the branding upon the customers in a much efficient manner.
On the other hand, the descriptive design will again provide with a helping hand to
that of the researcher within the definition of the utilized as well as the applied concepts
within a much detailed manner further provisioning with a definition of the specific impact
upon the study as well [16]. Applications related to the primary as well as the secondary
sources that will provide with better details related to the topic of research as well as bringing
in a better quality of the carried out analysis.
Within the methods opted for the research, the specific application of the research
philosophy provides with a helping hand in determination of the appropriate manner meant
for the attainment of all the details belonging to the topic undertaken for this specific research
[5]. In addition to this, the philosophy meant for the research again helps in the explanation of
the process undertaken for the assumption by the researcher while the research for this
particular topic of facial recognition has been carried out [12]. However, the process
undertaken for the thinking belonging to the evaluation of this specific topic may have
variations in regards to the specific selection of the research philosophy that shall be much
more effective as well as abiding a proper alignment.
A specific approach to carry out the study completely based upon this research
requires to be followed by a particular format that is very much necessary to conduct with the
research upon this topic. This particular topic can be researched upon undertaking the study
for the broad ways, which are supposed to be namely, deductive or might as well be inductive
[15]. The inductive approach is a specific field of study that provides with a helping hand
within the carrying out of the specific study upon this chosen topic for the research whenever

7FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
there has not been enough collection of data in relation to the topic that has been chosen for
this specific research [14]. On the contrary, the deductive approach to be particular refers to a
specific procedure that is very much utilized for the description of the practical application
belonging to the theories that have been studied upon to have the authorized access to the
entire content of the paper that has been researched upon [8]. Deductive approach carries a
primary objective to have built a specific theory having no specifications as well as the
concepts related to that of the data analysis. However, the dependency upon the specific
nature belonging to that of the study as well as the topic that has been undertaken for this
research [11]. In addition to this, the selection of the research approach that has been made
for the better analysis of the chosen topic for the study.
The design for the research provides with a separate helping hand towards the
explanation of the framework that shall be utilized for the selection of the topic for the
research within the methods of collection as well as the analysis of the pattern [9]. Hence,
during the procedure for the collection of data, a specific kind of the approach has been
applied that provisions with a helping hand for the better description of the design belonging
to the research. The kinds of design meant for the research are namely the likes of
Descriptive along with that of explanatory as well as exploratory [6].

8FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
References
[1] W.E., Miller. Utilizing Facial Recognition Software to Record Classroom Attendance,
2018.
[2] Deephanphongs. et al., "AUDIENCE ATTENDANCE MONITORING THROUGH
FACIAL RECOGNITION", US 10,346,860 B2, 2019.
[3] D., Mehta, B., Dedhia, B., Kothari, and U., Joshi. Automated Attendance Monitoring
System using Facial Recognition. International Journal of Engineering Science, 11707, 2017.
[4] B., Surekha, K.J., Nazare, S.V., Raju, and N., Dey. Attendance recording system using
partial face recognition algorithm. In Intelligent techniques in signal processing for
multimedia security (pp. 293-319). Springer, Cham, 2017.
[5] R., Kumar. Research methodology: A step-by-step guide for beginners. Sage Publications
Limited, 2019.
[6] A., Mackey, and S.M., Gass. Second language research: Methodology and design.
Routledge, 2015.
[7] D., Silverman, ed. Qualitative research. Sage, 2016.
[8] S.J., Taylor, R., Bogdan, and M., DeVault. Introduction to qualitative research methods:
A guidebook and resource. John Wiley & Sons, 2015.
[9] L., Bresler, and R.E., Stake. Qualitative research methodology in music education.
In Critical Essays in Music Education (pp. 113-128). Routledge, 2017.
[10] A.J., Fletcher. Applying critical realism in qualitative research: methodology meets
method. International Journal of Social Research Methodology, 20(2), pp.181-194, 2017.

9FUTURE SCOPE OF FACE RECOGNISATION IN ATTENDANCE SYSTEMS
[11] A., Wiek, and D.J., Lang. Transformational sustainability research methodology.
In Sustainability science (pp. 31-41). Springer, Dordrecht, 2016.
[12] K., McCusker, and S., Gunaydin. Research using qualitative, quantitative or mixed
methods and choice based on the research. Perfusion, 30(7), pp.537-542, 2015.
[13] M., Attia, and J., Edge. Be (com) ing a reflexive researcher: a developmental approach
to research methodology. Open Review of Educational Research, 4(1), pp.33-45, 2017.
[14] R.L., Irwin, and S., Springgay. A/r/tography as practice-based research. In Arts
Education and Curriculum Studies(pp. 162-178). Routledge, 2017.
[15] H., Taherdoost. Sampling methods in research methodology; How to choose a sampling
technique for research, 2016.
[16] E., Caillaud, B., Rose, and V., Goepp. Research methodology for systems engineering:
some recommendations, 2016.