International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
www.irjet.net
SMART BIOMETRIC ATTENDANCE MONITORING SYSTEM S. B. Patil1, Anjali Patil2, Pranil Nigade3, Satyajit Mane4, Apurva Kumbhar5, Prajakta Nale6 1 Associate Professor, Dept. of E&TC, D Y Patil College of Engineering and Technology(Autonomous),Kasaba
Bavada , Kolhapur, Maharashtra.
23456B. Tech Students, Dept. of E&TC, D Y Patil College of Engineering and Technology(Autonomous),Kasaba
Bavada, Kolhapur, Maharashtra. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The development and implementation of a smart
attendance system for universities using fingerprints in attendance. Indicators of student knowledge. We produce portable devices with fingerprint scanners and Wi-Fi connectivity. Devices will be distributed to each classroom to capture students’ fingerprints. The captured fingerprints are compared with the fingerprints on file and the student’s registration number is sent to a remote location. We created a website as a control panel for attendance where students and teachers can access and view attendance information as needed. Using this system greatly benefited the participants in the classroom; It reduced the time required to maintain the call book while also increasing the reliability and accuracy of the system.
biometric attendance system utilizing fingerprint recognition technology can make the attendance tracking process simpler or more efficient, designed specifically for college environments. The system aims to address the existing systems and challenges associated with traditional attendance tracking methods by offering a portable efficient solution. The proposed system uses fingerprint biometrics for user identification, ensuring accuracy and reliability in attendance recording. A portable device, such as a handheld scanner, is employed to capture student's fingerprints during each attendance session. The captured data is then processed and compared against a database of enrolled students to authenticate their identity and record attendance. Important features of the system include real-time attendance tracking, automated data management, and integration with existing college management Systems. Additionally, the portability of the device enables faculties to conveniently record attendance in various settings, including classrooms, laboratories, and outdoor activities. By eliminating manual attendance processes and minimizing the risk of errors or buddy punching, the system enables colleges to optimize resource utilization and focus on academic excellence.
2. METHODOLOGY The device comprises an R307 fingerprint sensor for biometric authentication, an ESP8266 NodeMCU for connectivity and data processing, an OLED 0.96 display for user interaction, and a power bank for portability. This device is circulated in classrooms to take attendance during lectures. During each lecture, the portable attendance device is circulated among students, who use the R307 fingerprint sensor to register their attendance. The ESP8266 NodeMCU collects and processes this data, updating the Attendance table in the database in real-time. Meanwhile, the GUI provides teachers with access to attendance information from any location with internet connectivity.
Key Words: IOT Biometric, Fingerprints, Paperless, Database, Attendance Tracking, Matching algorithm, etc.
1. INTRODUCTION Student participation in class is very important. Many colleges use attendance records to record class attendance. Teachers call at the end or beginning of class and mark "Present" or "Absent" on the attendance sheet. This process takes a long time, and students may also rely on someone else's name for virtual participation.We all know that every person has unique biometric characteristics such as fingerprints. Even as we get older, the fingerprint patterns on our fingers remain the same. Therefore, these characteristics are used as a unique identifier to distinguish a person from other people. In many applications for identification and verification, people’s unique characteristics are used to identify people, which increases the accuracy and reliability of the application. Biometric authentication system is one of the most effective and secure technologies. Considering the need for smart attendance in classes, we planned and implemented an Internet of Things-based smart
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