INNOVATION OF AUTOMATED CLASSROOM ATTENDANCE TRACKER VIA
PYTHON FACE RECOGNITION SYSTEM WITH CORRELATION TO
ATTENDANCE TRACKER APPLICATION
A Term Paper
Presented to the Faculty of
College of Engineering, Architecture and Fine Arts
BATANGAS STATE UNIVERSITY
Alangilan, Batangas City
In Partial Fulfillment of
the Requirements in
General Chemistry
De Belen, Princess A.
Flores, Joan Denise S.
Manalo, Mico Joseph C.
Pison, Dave Frank C.
Valdez, Lindsae Laurent P.
2022
, TABLE OF CONTENTS
TITLE PAGE
CHAPTER I. THE PROBLEM AND ITS BACKGROUND
Introduction ..........................................................................................................1
Background of the Study......................................................................................3
Statement of the Problem…….............................................................................5
Hypothesis of the Study ......................................................................................6
Scope and Limitations of the Study ....................................................................7
Significance of the Study.....................................................................................8
CHAPTER II. REVIEW OF RELATED LITERATURE AND STUDIES
Related Literature
Classroom Attendance Checking ............................................................10
Attendance Tracker System using Face Recognition ..............................12
Python as a Programming Language ......................................................15
Attendance Tracking Application .............................................................18
Related Study
Automated Attendance Checking System............................................... 21
Student Attendance Monitoring System.................................................. 22
Classroom Attendance Face Recognition ...............................................28
Real-time Face Recognition Attendance System in Python ................... 30
, Attendance Tracker Application...............................................................31
CHAPTER III. RESEARCH METHODOLOGY
Research Design …………………………………………………………………...…33
Respondents of the Study ……………………………………………………………34
Data Gathering Instrument ……..……………………………………………………36
Data Gathering Procedure …………………………………………………..………37
App Interface ………………………………………………………………………..…38
Statistical Treatment of Data ……………………………………………...…………44
Ethical Considerations …………………………………………………………..……44
BIBLIOGRAPHY…………………………………………………………………....…46
APPENDICES
APPENDIX A......................................................................................................52
APPENDIX B......................................................................................................61
APPENDIX C......................................................................................................65
APPENDIX D......................................................................................................66
CURRICULUM VITAE........................................................................................67
, Chapter I
THE PROBLEM AND ITS BACKGROUND
This chapter is composed of the study’s introduction, background, problem
statement, hypothesis, scope and limitations, and significance which will present
the problem and its background.
Introduction
After two years of distance learning due to the Covid-19 pandemic,
university departments and administrations approved bringing back face-to-face
classes this academic year 2022, which in turn, millions of students and teachers
have returned to conduct classes inside the school or university (CNN Philippines,
2022). On August 30, 2022, the Department of Health (DOH) posted a press
release indicating that the Commission on Higher Education (CHED) is updating
its standards for full face-to-face classes in higher education institutions (HEIs) with
the full support of the Department of Health (DOH). The updated policy which
allows students and HEI staff to participate in face-to-face classes regardless of
vaccination status was developed by CHED after consultation with the DOH and
its health experts.
With this in mind, face-to-face attendance checking will be strictly
implemented again to monitor each student’s arrival time, attendance, and
absence patterns in every class. A strong predictor of student outcomes can be
his/her attendance at school. According to the US Department of Education,
irregular attendance can be the best indicator of whether students would drop out
of universities before graduating instead of test results (School of Education,
1
PYTHON FACE RECOGNITION SYSTEM WITH CORRELATION TO
ATTENDANCE TRACKER APPLICATION
A Term Paper
Presented to the Faculty of
College of Engineering, Architecture and Fine Arts
BATANGAS STATE UNIVERSITY
Alangilan, Batangas City
In Partial Fulfillment of
the Requirements in
General Chemistry
De Belen, Princess A.
Flores, Joan Denise S.
Manalo, Mico Joseph C.
Pison, Dave Frank C.
Valdez, Lindsae Laurent P.
2022
, TABLE OF CONTENTS
TITLE PAGE
CHAPTER I. THE PROBLEM AND ITS BACKGROUND
Introduction ..........................................................................................................1
Background of the Study......................................................................................3
Statement of the Problem…….............................................................................5
Hypothesis of the Study ......................................................................................6
Scope and Limitations of the Study ....................................................................7
Significance of the Study.....................................................................................8
CHAPTER II. REVIEW OF RELATED LITERATURE AND STUDIES
Related Literature
Classroom Attendance Checking ............................................................10
Attendance Tracker System using Face Recognition ..............................12
Python as a Programming Language ......................................................15
Attendance Tracking Application .............................................................18
Related Study
Automated Attendance Checking System............................................... 21
Student Attendance Monitoring System.................................................. 22
Classroom Attendance Face Recognition ...............................................28
Real-time Face Recognition Attendance System in Python ................... 30
, Attendance Tracker Application...............................................................31
CHAPTER III. RESEARCH METHODOLOGY
Research Design …………………………………………………………………...…33
Respondents of the Study ……………………………………………………………34
Data Gathering Instrument ……..……………………………………………………36
Data Gathering Procedure …………………………………………………..………37
App Interface ………………………………………………………………………..…38
Statistical Treatment of Data ……………………………………………...…………44
Ethical Considerations …………………………………………………………..……44
BIBLIOGRAPHY…………………………………………………………………....…46
APPENDICES
APPENDIX A......................................................................................................52
APPENDIX B......................................................................................................61
APPENDIX C......................................................................................................65
APPENDIX D......................................................................................................66
CURRICULUM VITAE........................................................................................67
, Chapter I
THE PROBLEM AND ITS BACKGROUND
This chapter is composed of the study’s introduction, background, problem
statement, hypothesis, scope and limitations, and significance which will present
the problem and its background.
Introduction
After two years of distance learning due to the Covid-19 pandemic,
university departments and administrations approved bringing back face-to-face
classes this academic year 2022, which in turn, millions of students and teachers
have returned to conduct classes inside the school or university (CNN Philippines,
2022). On August 30, 2022, the Department of Health (DOH) posted a press
release indicating that the Commission on Higher Education (CHED) is updating
its standards for full face-to-face classes in higher education institutions (HEIs) with
the full support of the Department of Health (DOH). The updated policy which
allows students and HEI staff to participate in face-to-face classes regardless of
vaccination status was developed by CHED after consultation with the DOH and
its health experts.
With this in mind, face-to-face attendance checking will be strictly
implemented again to monitor each student’s arrival time, attendance, and
absence patterns in every class. A strong predictor of student outcomes can be
his/her attendance at school. According to the US Department of Education,
irregular attendance can be the best indicator of whether students would drop out
of universities before graduating instead of test results (School of Education,
1
