FINGERPRINT AUTHENTICATION SYSTEM FOR EXAMINATION ATTENDANCE
- 1. NAME : MUHAMMAD FAIRUL AIMAN BIN SHAFIEI MATRIC NUMBER : BTBL17046876 COURSE : ISMSK (NETWORK SECURITY) SUPERVISOR : CIK NAZIRAH BINTI ABD HAMID
- 2. FINGERPRINT AUTHENTICATION SYSTEM FOR EXAMINATION ATTENDANCE USING ADRUINO
- 3. INTRODUCTION Biometric techniques have becoming a popular alternative and a reliable means of identification that can support the evolving incredibly powerful computing. Currently, universities or institutions still using old fashioned ways to authenticate students before taking examination. Students must bring exam slip to the hall as their attendance and if the students forget to bring their slip, they can’t take the exam. Moreover, many students would not or forget to write down their matric number and exam’s information. In the other hand, the process of taking students’ attendance manually is a difficult task as well as can consume a lot of time. The aim of this project is to design and implement fingerprint authentication for examination attendances using Arduino. This system needs students to scan their fingerprints for authentication purposes and for identification, the system recognizes an individual by comparing his/her biometrics with every record in the database. In conclusion, this system can replace traditional identification and authentication of a student for examination attendance and can reduce human errors.
- 4. PROBLEM STATEMENT Universities or institutions still implementing traditional way to record attendance for examination by using pen and paper. A student must always bring relevant identification such as identity card and exam slip to the exam and he/she will be prevented from taking the exam if he/she forget to bring those items. The process of taking students’ attendance manually is a difficult task as human can make mistake as well as the process can consume a lot of time.
- 5. OBJECTIVE To study the feasibility of fingerprint authentication in examination attendance. To design and implement fingerprint authentication for examination attendance using Arduino. To test and evaluate the functionality of the application.
- 6. PROJECT SCOPE 1. ADMIN SCOPE : The system requires the admin to register their information. The admin can view the students’ attendance and produce reports. Admin can easily analyse the information regarding the student attendance. 2. STUDENTS SCOPE : The system requires the students to register their information. Students scan their fingerprint for examination attendance.
- 7. LIMITATION This system is developed especially for user authentication only. The system needs WI-FI connection to perform the processes.
- 8. LITERATURE REVIEW No Year Title Author Objective Methodology Future Works 1 2018 Fingerprint Based Attendance System Using Arduino Khin San Myint, Chan Mya Mya Nyein. 2018 to study and construct the attendance system using fingerprint module. Android Studio - this developed system is very also useful in saving valuable time of students and lectures, paper, generating report at required time. 2 2016 IoT Based Biometric Attendance System Piyush Devikar1, Ajit Krishnamoorthy2, Aditya Bhanage3, Mohit Singh Chauhan4 to automate the cumbersome process of manually taking and storing student attendance records. It will also prevent proxy attendance, thus increasing the reliability of attendance records. -PushingBox API -Attendance Data on Google Sheet - It can further be improved to automatically calculate attendance percentages of students and intimate the teachers if a student’s attendance is below a certain percentage
- 9. No Year Title Author Objective Methodplogy Future Work 3 2018 STUDENT EXAMINATION ATTENDANCE AUTHENTICATION SYSTEM (SEAAS) Adenike Folaponmile, J.B. Okpe and Y. J. Gwani Computer Engineering Department, Kaduna Polytechnic, Kaduna, Nigeria. To authentication whereby each student places his/her thumb on the fingerprint sensor and the pre- stored information about the student pops up if the student had been previously registered -Android Studio This system is highly effective in combating the crime of examination impersonation. System be expanded to include students’ daily course/classroom attendance. 4 2015 Fingerprint Based attendance System Karthik Krishnamurthi1, S. Irudaya Mary2, B. N. Sumalatha3, Adler Pereira y fraudulent issues can be overcome using the fingerprint based attendance system and improves the reliability of the attendance records. the future enhancements for this are to extend the current flash memory to store the complete details of the student. The system can be enhanced to track the arrival and exit time of the student or employee for
- 10. No Year Title Author Objective Methodology Future Work 5 2019 Biometric Student Attendance System using IoT Sameer Kanse1, Monish Shaikh2, Siddesh Gadhari3, Pravin Labde4, Prof. Anuprita Gawande5 system that works over IOT so that attendance can be monitored from anywhere in the world. - API Code can shift the paradigm of students lecture attendance monitoring in face to face classroom and provide a new, accurate, and less cumbersome way of taking student attendance in educational institutions. 6 2019 SMART DOOR UNLOCK SYSTEM USING FINGERPRINT K.Rajesh#1,ASST. PROFESSOR, B.Venkata Rao#2,P.AV.S.K.C haitanya#3,A.ruchi tha Reddy#4, helps in identifying a person or in improving security of a system When intruder tries to break the door, the vibration is sensed by sensor which makes an alarm. This will inform the neighbors about intruders and this will help to take further action to prevent intruder from entering.
- 11. NO YEAR TITLE AUTHOR OBJECTIVE METHOD FUTURE WORK 7 2019 A Novel Secure Fingerprint- based Authentication System for Student’s Examination System Abdullah Alshbtat1, Mohammad Alfraheed3 useful and an applicable fingerprint security system for student’s examination using image processing on such away and a wellorganize d algorithm is applied. been able to provide a physical security and authenticatio n for students before entering the class room
- 12. EXPECTED RESULT This system can replace traditional identification and authentication of a student for examination attendance and can reduce human errors.
- 13. GANTT CHART
- 15. METHODOLOGY Methodology used to ensure the systematic process of developing the project. The methodology must be able to solve all the problems in the studies, to make sure this project is complete.
- 16. FRAMEWORK
- 19. USE CASE DIAGRAM
- 20. ARDUINO MICROCONTROLLER Arduino is an open-source electronics that is widely used nowadays. Nowadays, Arduino is widely selected as it is straightforward, simple to discover, inexpensive, and on Arduino there is a huge amount of guide on the internet. Using a USB connection it can connect with other devices. In addition, power supply or AC to DC connector can also be used. Arduino can be programmed using Arduino programming language which can be downloaded free from the internet.
- 21. FINGERPRINT MODULE This system uses an electronic fingerprint sensor. This detector detects the sequence of fingerprints. The image of the scan is converted and saved in memory as a model. This fingerprint sensor automatically sends data packets to capture images based on the principle of glass layer ray reflection. Once the fingerprint is captured, it is possible to detect and search. CCD- Camera is used in the optical fingerprint sensor as a set of light-sensitive LED. It will take a fingerprint photo once the digit is put on the fingerprint reader’s glass plate.
- 22. INTERFACE
- 25. REFERENCES 1. Fingerprint Based Attendance System Using Arduino, Khin San Myint, Chan Mya Mya Nyein. 2018 2. IoT Based Biometric Attendance System, Piyush Devikar1, Ajit Krishnamoorthy2, Aditya Bhanage3, Mohit Singh Chauhan4 3. STUDENT EXAMINATION ATTENDANCE AUTHENTICATION SYSTEM (SEAAS), Adenike Folaponmile, J.B. Okpe and Y. J. Gwani Computer Engineering Department, Kaduna Polytechnic, Kaduna, Nigeria. 4. Fingerprint Based attendance System, Karthik Krishnamurthi1, S. Irudaya Mary2, B. N. Sumalatha3, Adler Pereira 5. Biometric Student Attendance System using IoT, Sameer Kanse1, Monish Shaikh2, Siddesh Gadhari3, Pravin Labde4, Prof. Anuprita Gawande5 6. SMART DOOR UNLOCK SYSTEM USING FINGERPRINT, K.Rajesh#1,ASST. PROFESSOR, B.Venkata Rao#2,P.AV.S.K.Chaitanya#3,A.ruchitha Reddy#4, 7. A Novel Secure Fingerprint-based Authentication System for Student’s Examination System, Abdullah Alshbtat1, Mohammad Alfraheed3
- 26. THANK YOU