The attendance alert based biometric system for employees using fingerprint: a case of hope Africa university, Bujumbura-Burundi
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Date
2023-08
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NM-AIST
Abstract
Attendance has been used as a key to success in all disciplines worldwide. Most institutions’
officers make efforts to monitor the attendance of their employees in their daily activities.
However, most of the applied attendance systems used in the institutions are manual. The
manual system-based attendance management has a lot of limitations such as masquerades,
hard-to-access data, no data centralization. Automated systems-based attendances have been
developed and used in many institutions around the world. Regardless of the capability of the
automated based system to provide unique identification, the alert subsystem for the late
employees is still missing. This project developed the Attendance Alert Based-Biometric
system for Employees using Fingerprint to improve the recognition accuracy of automated
attendance systems. To use this developed system all users must be registered and then scan
their fingers on the sensor in reporting time and leaving time. This system has increased the
accuracy of the institution and allows human resource managers to know and track all
employees’ attendance and get an alert if an employee late has been detected. It also helped to
automate the processes of attendance making and make recorded data to be accessible.
Sustainable Development Goals
A Project Report Submitted in Partial Fulfillment of the Requirements of the Award the Degree of Master of Science in Embedded and Mobile Systems of the Nelson Mandela African Institution of Science and Technology
Keywords
Research Subject Categories::NATURAL SCIENCES