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Automated attendence system PPT

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ThejeshReddyJ

This document proposes the development of a face recognition-based biometric attendance system using Python. It discusses motivations like reducing paperwork and increasing accuracy over traditional methods. The literature survey compares existing works using techniques like PCA, LDA, and side-face detection. The proposed system aims to detect faces, mark attendance, and detect defaulters with high accuracy. Expected outcomes include automatic operation, reliability, and productivity gains. Potential applications are in education, government, and security domains.

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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
• 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
• 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
• 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
• 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
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
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
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
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 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
COMPARATIVE ANALYSIS 01/12/22 Department of CSE, Vemana IT 11 Online Attendence Using CCtv
• 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
• 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
• 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
• 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
• 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

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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