Abstract
Attendance management is one of the most important processes in an educational institute, since it is a way of evaluating the performance of the students, staff, and departments in it. Current attendance marking methods are monotonous and time-consuming. Manually recorded attendance can be easily manipulated. Maintaining attendance records integrity and security, and reducing the valuable amount of time and hassle spent in the overall process is a real challenge. We propose a system to tackle all these issues. Being one of the most successful applications of biometric verification, face recognition and fingerprint scanning have played an important role in the field of security, authorization, and authentication. Such forms of biometric verification can prove useful in case of student’s attendance collection. Infrastructure as a Service (IaaS) is a form of cloud computing that can be used to provide virtualized computing resources over the Internet to thin clients like a Raspberry Pi, which is a credit card-sized computing device with respectable performance. Combining the best of all three technologies, we propose an automated, wireless, biometric attendance management system that will run in an IaaS environment that will help to implement attendance marking process in a more efficient, simple, and time-saving fashion and also provide additional services which will be discussed ahead.
References
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Sharma, C., Shah, K., Patel, S., Gharat, S. (2018). Wireless Biometric Attendance Management System Using Raspberry Pi in IaaS Environment. In: Reddy, M., Viswanath, K., K.M., S. (eds) International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications . Advances in Intelligent Systems and Computing, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-5272-9_24
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DOI: https://doi.org/10.1007/978-981-10-5272-9_24
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