PROJECT presentation by jo PROPOSAL.pptx

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1. TECHNICAL UNIVERSITY OF MOMBASA   SCHOOL OF ENGINEERING AND TECHNOLOGY   DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING   BACHELOR OF TECHNOLOGY IN ELECTRICAL AND ELECTRONIC ENGINEERING YEAR FOUR SEMESTER ONE   FINAL YEAR PROJECT TEE 4405 This Project proposal is submitted in partial fulfilment of the academic requirements for the Approval of the degree of Bachelor Technology in Electrical and Electronic Engineering.   BIOMETRIC FINGERPRINT ATTENDANCE SYSTEM NAME: MWANGI FRANCIS KAGURU   REG. NO: BTEE/0188/2021   PHONE NUMBER: 0797928349/0724373081   ACADEMIC YEAR: 2023/2024   DATE SUBMITTED: 11 TH JULY 2024     SUPERVISED BY: MR MRIMA 1

2. PRESENTATION FLOW Abstract Introduction Problem statement Research objectives Research justification Motivation of Study Literature review Methodology Conclusions & Recommendations Reference 2

3. ABSTRACT This project explores a password-based door lock system incorporating advanced error handling mechanisms. The system aims to enhance security and user experience by implementing robust error detection and recovery features. Through the integration of secure password algorithms and real-time error analysis, the door lock system ensures reliable access control. The abstract emphasizes the combination of user-friendly functionality with heightened security measures, making it an innovative solution for modern access control challenges 3

4. INTRODUCTION In an era where security is paramount, the Password-Based Door Lock System with Enhanced Error Handling emerges as a sophisticated solution to address the evolving challenges of access control. This project endeavors to augment the traditional password-based door lock concept by integrating advanced error handling mechanisms, fostering a more secure and user-friendly environment. Traditional password-based systems often encounter issues related to security vulnerabilities and user inconvenience due to errors. This project tackles these concerns by implementing state-of- the-art error detection and recovery features. By combining secure password algorithms with real-time error analysis, the system ensures a robust defense against unauthorized access attempts while providing a seamless and efficient user experience. This introduction sets the stage for a detailed exploration of the project’s design, implementation, and the significance of its enhanced error handling capabilities in creating a reliable and user- centric password-based door lock system. 4

5. PROBLEM STATEMENT The current system used to record attendance in the Technical University of Mombasa is by lecturers logging in to their attendance platform from which they print the signing sheet. The attendance list is then handed to students during class who then physically sign against their name. The attendance is then keyed in by the lecturers into the attendance platform.   However, this method has proved to be inefficient because students can be able to sign for each other when their classmates have not attended class. When students miss class, they miss out on important information that a lecturer is teaching which results in dismal academic performance.   Reviews from the article by ( Lukkarinen et al., 2016) showed that there are students who miss class because of compelling reasons and those with no reason. The students who miss class because of compelling reasons end up studying independently and passing their examinations but those with no reason usually have a significant drop in their academic performance. In addition to students lagging behind on academics, students who do not attend class are likely to get in trouble with the law.   A study by Richard (2011) stated that manual systems usually take up more effort, resources as well as physical space. Lastly, when students sign for those who are not in class, the lecturer is unable to gage their progress as well as help them build their skills. Therefore, there was a need for a comprehensive mobile-based system that will be able to capture students’ attendance accurately and also prevent signing for each other through the use of biometrics. 5

6. RESEARCH OBJECTIVES OVERALL OBJECTIVE The aim of the project was to develop a fully functional application-based system where students’ attendance is captured accurately and signing for each other is avoided though the use of a biometric fingerprint scanner. SPECIFIC OBJECTIVES Identify the problems that the lecturers experience when taking attendance using the manual signing sheets. Review platforms/technologies that are used in the recording of student attendance in universities. Develop an application-based system that will be able to capture students’ attendance accurately and also prevent students signing for each other through the use of a biometric fingerprint scanner. Test the developed information system using black box testing. 6

7. RESEARCH JUSTIFICATION In order to avoid dispute on attendance, the system will provide a more accurate and valid account of attendance. This is because the system will be able to authenticate the attendance of the students through the use of a fingerprint scanner and students will not be able to sign for each other. In addition, the risk of errors and data inaccuracy will be eradicated by the use of this system. Lastly by use of this system, the University will be able to save up on resources such as printing paper. 7

8. MOTIVATION OF STUDY The driving force of this project is to be able to understand the challenges that the administration and the whole institution at large faces by using the manual signing sheets to capture class attendance for the students. After understanding the problem, an information system should be designed and developed where students’ attendance is accurately captured through the use of a biometric fingerprint scanner. 8

9. LITERATURE REVIEW Biometric attendance systems have gained widespread attention due to their ability to accurately identify individuals based on unique biological traits. Fingerprint recognition is one of the most widely used biometric modalities due to its reliability, affordability, and non-intrusive nature. These systems offer numerous advantages over traditional methods of attendance tracking, such as manual paper-based systems or barcode scanning, including improved accuracy, efficiency, and security. The theoretical foundations of biometric attendance systems are grounded in principles of pattern recognition, signal processing, and biometric authentication techniques. Various algorithms and methodologies have been developed to extract, analyze, and match fingerprint features, including minutiae-based matching, ridge-based matching, and correlation-based methods. Additionally, studies have explored the psychological and physiological aspects of fingerprint recognition, such as fingerprint formation, uniqueness, and permanence, to understand the underlying mechanisms of biometric authentication. Advancements in sensor technology, computing power, and data processing algorithms have significantly enhanced the performance of fingerprint-based attendance systems. Modern fingerprint sensors utilize optical, capacitive, or ultrasonic techniques to capture high-resolution fingerprint images with minimal noise and distortion. Furthermore, the integration of microcontroller platforms, such as Arduino and Node-MCU, has enabled the development of cost-effective and customizable solutions for biometric attendance tracking in educational settings. 9

10. literature review contd Biometric attendance systems have been increasingly adopted in educational institutions to streamline attendance management processes, reduce administrative burden, and enhance accountability. Research studies have demonstrated the effectiveness of biometric systems in improving attendance accuracy, minimizing instances of proxy attendance, and promoting punctuality among students. Moreover, biometric attendance data can be integrated with student information systems (SIS) to provide real-time monitoring and reporting capabilities for educators and administrators. Despite the challenges that the system is vulnerable to fall under such as privacy and personal information security issues, I personally believe that the benefits of the fingerprint-based attendance system outweigh them. The future of biometric attendance systems in education holds promising opportunities for innovation and advancement. Research efforts are focused on enhancing the accuracy and robustness of biometric recognition algorithms, exploring novel modalities such as vein pattern recognition and palm print authentication, and integrating biometric systems with emerging technologies like blockchain and artificial intelligence (AI). Moreover, interdisciplinary collaborations between researchers, educators, and policymakers are essential to address the ethical, social, and legal implications of biometric attendance technologies and promote responsible deployment and usage in educational settings. 10

11. METHODOLOGY System Design The system design of the Biometric Fingerprint Class Attendance System encompasses the architectural layout, hardware components, software modules, and interaction flows . HARDWARE COMPONENTS Node-MCU (ESP8266) Fingerprint Sensor Local Database Wi-Fi Module Arduino Uno SOFTWARE MODULES Firmware for Node-MCU Local Database Management Server Backend Web Application Arduino IDE INTERACTION FLOWS Initialization User Authentication Attendance Marking Data Synchronization Administrative Interface 11

12. BLOCK DIAGRAM OF THE SYSTEM 12

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14. CONCLUSION AND RECOMMENDATION The recent method used by different institution including the Technical university of Mombasa to capture student attendance has proved to be quite inefficient due to factors such as students signing for each other, students missing classes which results in dismal performance and also lecturers are unable to gage progress of students when they miss classes. Therefore, the need for an efficient information system is vital so that student attendance can be captured accurately and efficiently.   The fingerprint-based student attendance system with a biometric fingerprint scanner will therefore be of great significance, as student attendance will be captured accurately. From the analysis taken in regards to the project variables, which include time, cost, and scope, the methodology used in developing the system is incremental methodology. The methodology involves minimal planning unlike other methodologies which takes planning as a phase and also incremental methodology which allows incorporation of changes within the development process which in turn makes iteration process possible in all phases. With all these factors combined, the developed system will be able to address the challenges that institutions face when capturing student attendance. For the system to fully function as expected, there should be interaction between the lecturer module, student module, administrator module and the database that is used for the purpose of storing data for the student attendance system. This interaction makes it easier to monitor data in this case being the student records. The student, administrator and lecturer modules are connected though not directly, through the database that has the same data being viewed by the modules of the system. By connecting the system with the database, we are able to work with data that in this case proves to be the most important entity of the system. The student is able to capture their attendance through the use of the biometric fingerprint and the administrator is able to view the attendance records. The lecturer is also able to generate attendance records of the students. 14

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