Abstract
Nowadays, biometric attendance system is applicable in various organizations to ensure the person's identity. The system takes parameters such as person's voice, fingerprint, retina, and face to authenticate the person. In order to track students’ daily attendance when they enroll in college, this article provides a biometric attendance system that uses blockchain technology. Both the daily and cumulative attendance of each student over the course of a chosen period of time, or month, is displayed by this system. The proposed system is designed to provide the cost-effective, systematic, and feasible solution to keep real-time attendance of the students against the existing manual system. Also, a webpage is designed for the same to provide a user-friendly and flexible platform to the students and faculty both to check the student's attendance.
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Tripathi, A., Choudhary, A., Srivastava, A.K., Kharbas, V.K., Shukla, V. (2024). A Real-Time IoT-Enabled Biometric Attendance System. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_42
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DOI: https://doi.org/10.1007/978-981-97-0641-9_42
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