The attendance alert based biometric system for employees using fingerprint: a case of hope Africa university, Bujumbura-Burundi

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.