![10
2022 - 23
COMPARATIVE ANALYSIS
Department of CSE, Vemana IT
Online Attendence Using CCtv
01/12/22
Reference
Algorithm/
Technique
Platform
used
Performanc
Matrix
Advantage Drawback
[1] PCA Image
PCA +
Distance
Classifier
(93,61)%
Saves the time
and also helps
to monitor the
students
Class
seperability
remain same
[2] LDA Image
LDA +
Distance
Classifier
(91,58)%
Reduce
dimensionaly
Increase class
seperability
Unsuitable for
short, user-
generated text.
[3]
Enhanced side-
face Image
Video/
Image
80
High
resolution
Contains less
information as
side faces are
considered](https://image.slidesharecdn.com/projectphase1-review1template-1-221217144824-1eb3f3e0/85/Automated-attendence-system-PPT-10-320.jpg)
Automated attendence system PPT
- 1. BIRD VIEW • Introduction • Motivation • Abstract • Literature Survey • Comparative analysis of the survey • Problem Statement • Proposed System • System Specification • Expected outcome • Applications • References Department of CSE, Vemana IT 1 Online Attendence Using CCtv 2022 - 23 01/12/22
- 2. • Face recognition is one of the few biometric methods that includes the merits of both accuracy and low intrusiveness. • Due to this reason since the 70’s, face recognition has gained attention of researchers in fields from security and image processing to computer vision. • It determines if the image of the face of any given person matches any of the face images stored in a database. This problem is challenging to resolve automatically due to the changes that various factors, such as facial expression, aging and even lighting, can cause on the image. • This system is proven to be useful in various areas such as security and access control, forensic medicine, police controls and in attendance management system. 2 INTRODUCTION Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 2022 - 23
- 3. • Recently, image processing which extracts useful information from a digital image plays a unique role in the advent of technological advancements. • It focuses on two tasks i.e. improvement in pictorial information of human interpretation, loading of image data for storage, transmission and representation for autonomous machine perception. • Proposed system is biometric attendance system using face recognition. Face detection has been extensively researched in past few decades. • The main focus of this system is to decrease false positive rate thereby increasing accuracy. 3 MOTIVATION Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 2022 - 23
- 4. • This paper represents the prototype of an automated Online Biometric- enabled Class Attendance Register System (OBCARS). • The system is designed and developed to address the obstacles of misplaced and/or torn attendance register paper sheets in various classrooms in Higher Educational Institutions. • The system is built to provide an e cient and e ective class attendance tracking method that avoids attendance marking impersonation among students, and simplify students’ attendance record computation • The face of the student is recognized and it saves the response in database automatically by the system. 4 ABSTRACT Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 2022 - 23
- 5. • Survey 1 Title : Aadhaar Based Biometric Attendance System Using Wireless Fingerprint. Author : Narra Dhanalakshmi; Saketi Goutham Kumar; Y Padma Sai. Methodology : Aadhaar Central Identification Repository (CIDR). Advantage : SMS Alerts are sent to students and their parents . Limitation :Aadhar Data may not be available and also fingerprint based system . 5 2022 - 23 LITERATURE SURVEY - 1 Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22
- 6. LITERATURE SURVEY - 2 • Survey 2 Title : A web enabled secured system for attendance monitoring Author :Srinidhi MB , Romil Roy. Methodology :Radio Frequency Identification (RFID) Technology Advantage :To built safe and secure web based attendance monitoring system Limitation :Students can exchange their RFID cards. 01/12/22 Department of CSE, Vemana IT 6 Online Attendence Using CCtv
- 7. LITERATURE SURVEY – 3 • Survey 3 Title :Real-Time Online Attendance System Based on Fingerprint. Author :Lia Kamelia; Eki Ahmad Dzaki Hamidi. Methodology : The ZFM-20 fingerprint module is used Advantage : The purpose of the research is to develop an online system Limitation : It is a fingerprint based system and has its own disadvantages. 01/12/22 Department of CSE, Vemana IT 7 Online Attendence Using CCtv
- 8. LITERATURE SURVEY - 4 • Survey 4 Title : Design and Implementation of a Student Attendance System Using Iris. Author : Kennedy O. Okokpujie. Methodology : Iris Biometric Recognition Advantage : The iris of human eye is used as a biometric. Limitation :: This system is not cost e ective. 01/12/22 Department of CSE, Vemana IT 8 Online Attendence Using CCtv
- 9. LITERATURE SURVEY - 5 • Survey 5 Title : Online Biometric-enabled Class Attendance Register System. Author : Victor Oluwatobiloba Adeniji; Mfundo Shakes Scott Methodology : Biometric Register System. Avantage : The attendance records of the students are managed online Limitation : It is a Fingerprint based system which has its own disadvantages 01/12/22 Department of CSE, Vemana IT 9 Online Attendence Using CCtv
- 10. 10 2022 - 23 COMPARATIVE ANALYSIS Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 Reference Algorithm/ Technique Platform used Performanc Matrix Advantage Drawback [1] PCA Image PCA + Distance Classifier (93,61)% Saves the time and also helps to monitor the students Class seperability remain same [2] LDA Image LDA + Distance Classifier (91,58)% Reduce dimensionaly Increase class seperability Unsuitable for short, user- generated text. [3] Enhanced side- face Image Video/ Image 80 High resolution Contains less information as side faces are considered
- 11. COMPARATIVE ANALYSIS 01/12/22 Department of CSE, Vemana IT 11 Online Attendence Using CCtv
- 12. • To develop a windows based prototype model for biometric attendance system using face recognition using python programming language. • OBJECTIVES: 1. To detect faces. 2. To mark attendance. 3. To check defaulter list. PROBLEM STATEMENT Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 12 2022 - 23
- 13. • Proposed system is biometric attendance system using face recognition. Face detection has been extensively researched in past few decades • It is a specific case of object detection which determines the size of candidate faces in an image • It is a process of designing a system by giving input consisting of images that contains faces and then training a classifier to identify a face in an image. • The main focus of this system is to decrease false positive rate thereby increasing accuracy. PROPOSED SYSTEM Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 13 2022 - 23
- 14. • Hardware Requirements : • Processor - Intel • RAM - 4 GB • Storage - 1GB • Web camera • Software Requirements • Operating system - Windows 10 • Programming Language - Python -3.10 64bit • Front-End - Python Tkinter SYSTEM SPECIFICATION Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 14 2022 - 23
- 15. • Face Recognition • Marking Attendance • Defaulter Detection • Reduced paper work. • Automatically operated and accurate. • Reliable and user friendly. • Increased productivity. EXPECTED OUTCOME Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 15 2022 - 23
- 16. • To verify identities in Government organizations. • Enterprises. • Attendance in Schools and colleges. • To detect fake entries at international borders. • Industries. APPLICATIONS Department of CSE, Vemana IT Online Attendence Using CCtv 01/12/22 16 2022 - 23