A project on attendance

1. DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
MAJOR PROJECT STAGE II – REVIEW
PPT ON
FACE RECOGNITION AND RFID VERIFIED ATTENDANCE SYSTEM
PRESENTING BY
SD. SADIQ -19C31A0454
M. MAHESH -19C31A0436
S. SHRUTHI -19C31A0453
M. RANJITH -19C31A0438
S. SHIRISHA -19C31A0452
UNDER THE GUIDANCE OF :
MRS. B. SANDHYA RANI
ASSISTANT PROFESSOR
DEPT. OF ECE
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2. 2
Contents
1) Abstract
2) Literature Survey
3) Problem Statement
4) Existing System
5) Proposed System
6) Objective
7) Introduction
8) Hardware Tools and Software Tools
9) Working principle
10) Flow chart
11) Results
12) Advantages and Applications
13) References

3. Abstract :
Proper attendance management is crucial for the academic institutions to disseminate and
ensure quality education to every student. This project presents a model of an automated
attendance system to alleviate the manual effort of recording data eliminating The chances of
fraudulency. The model focuses on how face recognition incorporated with Radio Frequency
Identification (RFID) detect the authorized students and counts as they get in and out from the
classroom. Smart Attendance System keeps the authentic record of every registered student and
eradicates greatly the traditional tedious task. More ever, this smart system keeps the data of every
student registered for a particular course in the attendance log and provides necessary information
according to the need. By recognizing the face of the individual and verified by RFID
simultaneously in our project, the limitations in the existing manual attendance system are mostly
eliminated.
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4. Literature Survey:
4
SL.NO DESCRIPTION
01 Md. Sajid Akbar, Pronob Sarker, Ahmad Tamim Mansoor.,“ Face Recognition Attendance System”: For academic
institutions to disseminate and assure quality education to all students, proper attendance management. This study
proposes the concept of Facial recognition based attendance system.
02 Lin Zhi-heng*, Li Yong-zhen , “Design and Implementation of Classroom Attendance System Based on Video Face
Recognition”, The importance of classroom attendance cannot be overstated when it comes to classroom teaching. It is
possible to successfully supervise students who regularly attend class to ensure that they arrive on time and that the
classroom education is of a high standard. (viola & jones Algorithm).
03 Priyanka Wagh, Jagruti Chaudhari, Roshani Thakare, Shweta Patil,“ Attendance System based on Face Recognition using
Eigen face and Algorithms”. This strategy can be used to combat issues like fake attendance and proxies. Light intensity
and head posture difficulties plagued the previous face recognition-based attendance system.
04 Ankita Agrawal and Ashish Bansal, ―Online Attendance Management System Using RFID with Object Counter. The
system promotes a fully automated approach in capturing the student attendance and monitoring the student in the
university campus. The attendance taken is secure and accurate.

5. Literature Survey (Cont..,) :
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SL.NO DESCRIPTION
05 Refik Samet, Muhammed Tanriverdi,“ Face Recognition- Based Mobile Automatic Classroom Attendance Management
System”. The goal of this study is to offer a facial recognition-based mobile automatic classroom attendance
management system that doesn't require any additional hardware.
06 Edy Winarno, Imam Husni Al Amin, Herny Februariyanti,Attendance System Based on Face Recognition System Using
CNNPCA Method and Real- time Camera”. CNN-PCA was employed in this study as the hybrid feature extraction
method for the facial recognition-based attendance system (Convolutional Neural Network - Principal Component
Analysis). Combining these strategies results in a more precise feature extraction method.
07 Zhang Yuru, Chen Delong and Tan Liping, April, 2013,suggested,The Research and Application of College Student
Attendance System based on RFID Technology. Combined with the actual situation of college students class attendance
system. The designed system not only can improve the work efficiency, but also can save human and material resources.
08 SumitaNainan, Romin Parekh and Tanvi Shah, January 2013,suggested that ―RFID Technology Based Attendance
Management System. An ease and cheap RFID Based Authentication System model have effectively created. In this
framework utilizing the AVR controller, guarantees quick operation, cost viability and low power utilization.

6. Literature Survey (Cont..,): 6
SL.NO DESCRIPTION
09 Srivastav Nandita (2006) The ―Radio Frequency Identification (RFID) is an automatic identification system. RFID uses
RF to identify ―tagged items. This data is then collected and transmitted to a host system using an RF Reader. The data
transmitted by the tag may provide identification or location information, or specifics about the product tagged, such as
price, colour, date of purchase; etc.
10 "An Automatic Attendance System using Face Recognition" by A. S. Bhosale, S. R. Sawant, and A. S. Jadhav. This paper
presents a smart attendance system that uses both face recognition and RFID technology to authenticate the identity of
individuals. The proposed system is designed to be used in organizations to improve the efficiency of attendance tracking.
11 "RFID and Face Recognition-Based Attendance System for Students" by D. D. F. Aditya and M. R. S. S. S. Siriwardhana.
This paper proposes a smart attendance system that combines RFID and face recognition technologies to track attendance of
students in an educational setting. The system is designed to improve the accuracy and efficiency of attendance tracking.
12 "Smart Attendance System using RFID and Face Recognition" by A. Shamaa and M. A. El-Dosuky. This paper presents a
smart attendance system that combines RFID and face recognition technologies to authenticate the identity of individuals
and track attendance in real-time. The proposed system is designed to be used in various organizations to improve the
efficiency of attendance tracking.

7. Problem Statement:
The current method that institutions uses is the faculty passes an
attendance sheet or make roll calls and mark the attendance of the
students.
It disturbs the discipline of the class.
It should be frequently updated manually in the excel sheet.
It is quite hectic and time-consuming process.
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8. Existing System:
RFID(Radio Frequency Identification) Based recognition system:
• The student needs to carry a RFID Card with them.
• The system is capable of to connect to RS232 and record the
• attendance to the saved data base
• There are possibilities for the fraudulent access may occur.
• Some are students may make use of other students ID to ensure their
presence when the particular student is absent.
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Fig: RFID based attendance system

9. Cont..
Fingerprint Based recognition system:
• Portable fingerprint device need to be configured with the
students fingerprint earlier.
• During the lecture hours or before, the student needs to
record the fingerprint on the configured device to ensure
their attendance for the day.
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Fig: Fingerprint Based recognition system.

10. Proposed System:
To capture the face of each student and simultaneously the RFID tag is readed and stored it in the database for their
attendance.
All the feature of the students' face needs to be detected.
There is no need for the teacher to manually take attendance in the class
The attendance database is updated for the respective student automatically.
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11. Objective :
Detection of unique face image.
Detection of faces amongst other face characters as beard, spectacles etc.
Automated update in the attendance sheet without human intervention.
Reduce time loss as time is a very valuable resource.
Reduction of flaws done by the students, Employees etc..
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12. Introduction :
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Attendance is high important for both the school teacher and pupil of
an educational association. So, it's veritably important to keep record of
the attendance. The problem arises when we suppose about the traditional
process of taking attendance in class room. Calling name or roll number of
the pupil for attendance isn't only a problem of time consumption but also
it needs energy. So, an automatic attendance system can break all above
problems.

13. Hardware Tools:
Raspberry Pi is a series of small single-board computers.
It is used in many areas, such as for monitoring because of
its low cost, modularity, and open design.
It consists of HDMI and USB standards and Raspberry Pi
OS.
It consists of 1.5 GHz quad-core 64 bit processor. It needs
at least a 5-volt, 3-amp power supply.
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Fig: Raspberry PI 4
Raspberry PI 4 :

14. Cont..
The Arduino-Nano is
microcontroller which
is shown in Figure
based board on the
Atmega328p.
The board are equipped
with set of digital and
analog input/output
pins that may be
interfaced with various
expansion boards or
breadboard and other
circuits.
The boards feature
serial communications
interfaces including
USB (universal serial
bus) on some models
which are also used for
loading programs from
PCs.
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Arduino-Nano :
Fig: Arduino Nano

15. Cont..
The Raspberry Pi Camera Board is a custom designed add-on
module for Raspberry Pi hardware.
It attaches to Raspberry Pi hardware through a custom CSI
interface.
The sensor has 5 megapixel native resolution in still capture
mode.
In video mode it supports capture resolutions up to 1080p at 30
frames per second.
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PI Camera :
Fig: PI Camera

16. Cont..
Organic light
emitting diodes
(devices) or OLEDs
are monolithic, solid-
state devices.
Typically consist of a
series of organic thin
films sandwiched
between two thin-
film conductive
electrodes.
OLEDs are emissive
displays that do not
require a backlight
and so are thinner and
more efficient than
LCD displays.
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OLED Display :
Fig: OLED Display

17. Cont..
An RFID or radio frequency identification system consists of
two main components, a tag attached to the object to be
identified, and a reader that reads the tag.
It consists of a microchip that stores and processes information.
The RC522 RFID reader module is designed to create a
13.56MHz electromagnetic field and communicate with RFID
tags.
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RFID module kit :
Fig: RFID module kit

18. Cont..
SD Card Module is a breakout board used for SD card
processes such as reading and writing with a
microcontroller.
The board is compatible with microcontroller systems
like Arduino.
A standard SD card can be directly inserted into the
board, but to use microSD cards.
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SD Card module & Micro SD Card:
Fig: SD Card module & Micro SD Card

19. Software Tools :
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Raspberry pi OS:
 Raspberry Pi OS has a desktop environment.
 It looks like many common desktops, such
as macOS and Microsoft Windows.
 We should use SD card (minimum 8 GB recomm-
ended) to store the OS.

20. Cont..
OpenCV Python:
 OpenCV is a huge open-source library for computer vision,
machine learning, and image processing.
 OpenCV supports a wide variety of programming languages
like Python, C++, Java, etc.
 It can process images and videos to identify objects, faces, or
even the handwriting of a human.
 It is integrated with various libraries, such as Numpy.
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21. Cont..
Arduino IDE:
 Arduino IDE (Integrated Development Environment) is
the software for Arduino.
 It is a text editor like a notepad with different features.
 It is used for writing code, compiling the code to check
if any errors are there and uploading the code to the
Arduino.
 It is a cross-platform software which is available for
every Operating System like Windows, Linux, macOS.
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22. Working principle: 22
Fig: Circuit Diagram
Initially, power both the Arduinos and Raspberry Pi to run the
face script of Python. Then bring your face in front of the camera
and after its recognition.
Simultaneously, put the RFID card on the RFID module. After a
successful reading of the card, the name and attendance
confirmation will be shown in the OLED display.
At the same time, the 2nd Arduino will save the attendance time
along with the RFID name and the person’s face. To see the
whole database of smart attendance system, open the text file of
attendance in the SD card.

23. Flow chart: 23
Fig: Flow chart
Step1: Initially, the face of the student is captured using the face
recognition technology and checked with the pre-recorded data.
Step2: Simultaneously, the RFID reader is used to read RFID card and
checked with the pre-recorded data.
Step3: If the face and RFID card of that student is matched with the
pre-recorded data then, attendance is provided for that student.
Step4: If the face and RFID card of that student is not matched with
the pre-recorded data then, attendance is not provided for that student.
Step5: Entire data is stored in the data base.

24. Results: 24
Fig: Entire project kit Fig: Detecting the face Fig: Reading RFID Card
Fig: Displaying on OLED Fig: Data stored in the database.

25. Advantages & Applications: 25
Applications:
Advantages:

26. References :
 N. Amiyana and M. Alias, “Attendance and Access Control System Using RFID System,” undergraduate thesis,
Faculty of Electronic and Computer Engineering.
 Z. N, Zhang, Y. W. John, “Inducement Analysis in Facial Expression Recognition”, In 8th International Conference
on Signal Processing, IEEE Press, pp. 1654-1657, 2006.
 H. Rathod, Y. Ware, S. Sane, S. Raulo, V. Pakhare and I. A. Rizvi, "Automated attendance system using machine
learning approach," 2017 International Conference on Nascent Technologies in Engineering (ICNTE), 2017.
 Nyein and A. N. Oo, "University Classroom Attendance System Using FaceNet and Support Vector Machine," 2019
International Conference on Advanced Information Technologies (ICAIT), 2019.
 Josphineleela.R and Dr.M.Ramakrishnan, “An Efficient Automatic Attendance System Using Fingerprint
Reconstruction Technique”, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 10,
No. 3, March 2012.
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