Survey Paper on : College Automation System using Face Recognition with RFID

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1128
Survey Paper on: College Automation System using Face Recognition
with RFID
1,2,3,4 Student, PRES’s SVIT, Chincholi
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In the age of scientific development, people are
becoming more and more dependent on mobile phones. This
mobile application is designed to reduce the manualworkand
ease out teaching and learning in academics. We are
developing an Android based College Application.Videowillbe
taken by camera and sent to server. Faces will be detected
from that video. Teacher will have RFID reader. Students will
mark his attendance using RFID tag. The result should be
calculated and displayed on the spot. Theportalshouldinclude
few test series such as an examination for Phd level, or
assignments or any BE Level exams.
Key Words: Image Processing,RFID tag,RFID
reader,Face Recognition,APK(Android Application
Package)file,Automated Attendance System.
1.INTRODUCTION
In this modern era everything is handled digitally and
everyone has a smart phone.So why don’t we take an
advantage of this? To overcome the problem of manual
system we are developing this system. In this system, the
student shows face to Face RecognitionSystem/Camera,face
is captured and recognized so that partial attendance is
marked and stored. At the time of entry in classroom RFID
tag is read and it will be mark full attendance. Here student
which pass through face recognition phase only those are
able to RFID phase. Student information isstored,whenboth
phases are completed & student status is sent to parent
mobile application. In the web portal student and staff
attendance, student marks, events information, admission
update, study material, exam schedule, notification etc.
entities are uploaded by Authorized person(principal/staff).
According to students profile relevant notification, student
library status, fee dues, exam details ,circulate to student
application, and individual student progressand attendance
is send to parent through application.
2.EXISTING SYSTEM
In traditional class seating, student attendance record isone
of the important issues deal with any school, college and
university. To keep the student attendance record valid and
correct, the faculty staff should have a propermechanismfor
verifying and maintaining or managing that attendance
record on regular basis. Faculty staff may experience
difficulty in both verifying and maintaining each student’s
record in classroom environment on regularbasis,especially
in classes attended by a large number of students. In
practice, the manual system also requires more time for
recording and calculating the average attendance of each
enrolled student. On the other hand searching and issue
books from library, checking fee dues are time consuming
and boring work. Most of the parents are unaware about
their child behavior and progress. Due to limited storage
new files can’t be added[3].Staff have to fill attendance and
upload manually.[5] Imageswith static faceisdetectedfaces
with expressions can’t be detected.[9]
3. PROPOSED SYSTEM
In a modern era Automated attendance systemisaverygood
demonstration of automation. It requires less time,less
bulky. This system is used for generating an attendance
report of personnel and used for security purpose also. In
the market various automated attendance systems are
available. Biometric attendance system, punch card, swipe
card are examples of automated attendance system. To
overcome some problemsrelated with these system. Weare
combining to techniques that are RFID card and Face
recognition. Large database is used to maintain records.The
system also helpsthe faculty to easily find out defaultersina
single click. In this system we can take attendance ofstudent
at college gate by using face recognition, here input is face of
student. Block algorithm is used for face recognition to
match faces of student with trainee data. Again in classroom
attendance is taken by RFID tag, RFID Reader. These two
records then merge to map and generate final attendance
report. Monthly, weakly attendance report of student is
generated by system, average attendance of student is
calculated and teachers can give term work marks depend
on average attendance of particular student. Attendance
report is send to the web portal by the system. Authorized
person decide to which notification, notices send to parent
and Student Application through web portal. Android
application is used for interaction between teacher, parents
and student. Teacher can send student attendance, marks,
daily record of student to parents, also can send important
notes, exam timetable, Library informationnoticetostudent.
Student can give feedback to teacher using same android
application.
1.1 Scope
Parent can see student attendance, marks, review of
his child, admission process, fees, office timings on app.
Sonali T. Benke 1, Tejashree B. Ekhande2, Kokila R. Kharde3, Antara D. Pawar4

1.2 System Architecture
Fig -1: Architecture Diagram
In our system students are come at thegate.Throughcamera
video will be capture. Then faces will be detected from that
video. Using automated attendance system capturedfacesor
students are verified. This automated attendance system is
connected to the database. Where students data will be
stored. Then in classroom students attendance mark using
RFID tag-reader. Every students has unique identification
provided by RFID tag. When RFID and face recognition both
phases are completed then student attendance is marked
and attendance report generated in automated attendance
system. Then this attendance report send to the web portal.
Using web portal we can send notification, exam marks,
weekly and monthly or as per the requirements attendance
report send to the parent and student application.
In student application we provide feedback system, notices,
event, library information, due fees and hostel information.
Parent can see student attendance ,marks, review of his/her
child, admission process, fees, office timing on app. Student
will get user id and password from college for access app.
3. ALGORITHM
3.1 Block Matching Algorithm
In our system Block Algorithm is used for Face
recognition. In this algorithm, face image is reshaped into
standard size(128*128). Then next step isdivide Faceimage
in equal size block. Using Grey level co-occurrence matrix
features are extracted from each block. This procedure is
applied to both face images, means training image and
queried images. After feature extraction Block Machine
algorithm applied. Then using Euclidian distance between
the stored images and queried images calculate. Euclidian
distance less of that image that will match as the recognized
face.
Fig -2: Block Matching Algorithm
4. CONCLUSIONS
This proposed system gives automated attendance of
student’s via RFID and Face Recognition. Typically students
attendance ismarked by the lecturer manuallywhichspends
a lot of time. Also amount of proxiesgets recorded inmanual
system. RFID will mark the attendance robotically when
student’s card is passed through the reader and student is
enters the class. While face recognition will assist in
validating student and marking the attendance of that
individual student ensuring avoidance of proxies.
ACKNOWLEDGEMENT
This research paper is made possible through the help and
support from everyone including parent, teacher, family,
friend and in essence ,all sentient beings. It gives us great
pleasure in presenting the survey paper on ‘College
Automation System’.We would like to take this opportunity
to thank our internal guide Prof. Patole U.R. for giving us all
the help and guidance we needed. We are really grateful to
them for their kind support. We are also grateful to Prof.
Shedge K.N., Head of Computer Engineering Department,Sir
visveswarya Institute Of Technology, for his indispensable
support, suggestions. In the end our special thanks to prof.
Tambe P.S. for providing various resources such as
laboratory with all needed software platforms, continuous
Internet connection, for Our Project.
REFERENCES
[1] D. Kornack and P. Rakic, “Cell Proliferation without
Neurogenesis in Adult Primate Neocortex,” Science, vol.
294, Dec. 2001, pp. 2127-2130,
doi:10.1126/science.1065467.
[2] Poornima S, Sripriya N, Vijayalakshmi B,Vishnupriya
P“Attendance Monitoring System using Facial
Recognition with Audio Output and Gender
Classification” IEEE International Conference on
Computer, Communication, and Signal Processing
(ICCCSP-2017) 978-1-5090-3716-2/17/ 2017.

[3] Dr. A Lenin Fred, S. Wilson ,Block Based Face
Recognition Algorithm” IJISET , Vol. 4 Issue 9,
September 2017 ISSN (Online) 2348 – 7968 | Impact
Factor (2016) – 5.264
[4] R. Ramya Krishnan, R. Renuka, C. Swetha, R.
Ramakrishnan “Effective AutomaticAttendanceMarking
System Using Face Recognition with RFID” IJSRST
,Volume 2 ,Issue 2 , 2016.
[5] Kavita “A Survey paper for Face Recognition
Technologies”International Journal of Scientific and
Research Publications, Volume 6, Issue 7, July 2016 441
ISSN 2250-3153 www.ijsrp.org
[6] Pooja S. Sharma, Reshma R. Shetty, Gayatri V. Yadkikar,
“College Automation System”, IJIRST –International
Journal for Innovative Research in Science &
Technology, Volume 2, Issue 10, March 2016 ISSN
(online): 2349-601 www.ijirst.org 96
[7] Prerna R. Sakharkar, Pranita S. Giri.“Automated
Attendance by Face Recognition and SMS Sending tothe
Authorized Person” International Journal of Advanced
Research in Computer and communicationEngineering,
Vol 5, Issue 3, March 2016
[8] Muhammad Fuzail, Hafiz Muhammad Fahad Nouman,
Muhammad Omer Mushtaq, Binish Raza, Awais
Tayyab,Muhammad WaqasTalib“FaceDetectionSystem
for Attendance of Class’ Students”,international journal
of multidisciplinary science and engineering, vol.5,no.4,
april 2014
[9] Rahul Chandrasekaran, “Security Assurance Using Face
Recognition & Detection System Based On Neural
Networks”, The 2005 IEEE International Conference on
Neural Networks and Brain ICNN&B'05
[10] Maja Pantic, Member, IEEE,and Leon J. M. Rothkrantz
”Facial Action Recognition for FacialExpressionAnalysis
From Static Face Images” IEEE transactions on systems,
man, and cybernetics—part b: cybernetics, vol.34,no.3,
june 2004
[11] Nai-Jian Wang “A Real-time Multi-face DetectionSystem
Implemented on FPGA”, 2012 IEEE International
Symposium on Intelligent Signal Processing and
Communication Systems (ISPACS 2012) November 4-
7,2012
[12] Jomon Joseph, K. P. Zacharia(2013) “Automatic
Attendance Management System Using Face
Recognition”,International Journal of Science and
Research,vol.2,Issue 11, pp328-330.
[13] “Erp system for college automation using RFID tags”,
Multidisciplinary Journalof ResearchinEngineeringand
Technology, Volume 2, Issue 2, Pg.437-446
[14] Yohei Ishii, “Face and Head Detection for a Real-Time
Surveillance System”, Proceedings of the 17th
International Conference on Pattern Recognition
(ICPR’04) 1051-4651/04 $ 20.00 IEEE
[15] Samuel Lukas, Aditya Rama Mitra, Ririn Ikana Desanti,
Dion Krisnadi “Student Attendance SysteminClassroom
Using Face Recognition Technique” IEEE 978-1-5090-
1325-8/16/2016

Survey Paper on : College Automation System using Face Recognition with RFID

More Related Content

What's hot (20)

Similar to Survey Paper on : College Automation System using Face Recognition with RFID (20)

More from IRJET Journal (20)

Recently uploaded (20)

Survey Paper on : College Automation System using Face Recognition with RFID