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Enhanced Biometric Attendance Management System using IoT & Cloud

Attendance is a critical part of any organization or business, and it is tracked on a daily basis. Many organizations presently record group action on a chunk of paper on those students register front of their names. the most disadvantage of this system is that a student will pretend the signatures of his or her classmates notwithstanding they're not there. Keeping track of the amount and names of scholars within the category could be a long task that takes up heaps of the faculty's time. In this paper, we describe how our system, which includes customized report production, can help solve this challenge in this paper. Our hardware modules are integrated to the Raspberry Pi, which is utilized to transfer the data. To record group action unambiguously by checking pre-registered knowledge, the system consuming task that takes up heaps of the faculty's time. offers two options: the Fingerprint Module and the Facial Recognition Module. After recording attendance the data is stored on the cloud which will provide security and backup in case of any software failures. This system will provide the customized reports which can be viewed from the mobile app to those who are having authorization to view.