GPS-Enabled Fingerprint Attendance System for Enhanced Staff Monitoring

Traditional attendance management methods, such as manual registers and conventional biometric systems, are often vulnerable to proxy attendance, location manipulation, inaccurate record keeping, and administrative inefficiencies. To address these challenges, the proposed system integrates fingerprint biometric authentication with Global positioning System (GPS) technology and geofencing techniques to ensure that attendance is recorded only by authorized personnel within approved locations. The study adopts a design science approach, drawing insights from existing works on biometric systems, loT-enabled attendance frameworks, cloud computing, and geolocation technologies. The conceptual framework combines hardware components such as fingerprint sensors, GPS modules, and cloud databases, and real-time analytics. The system architecture supports secure identity verification, location validation, anomaly detection, and automated attendance reporting. Findings from the reviewed literature indicate that hybrid GPS-biometric systems significantly reduce attendance fraud. Improve transparency, enhance workforce accountability, and streamline human resource management processes. The study further highlights implementation challenges such as privacy concerns, infrastructure limitations, network dependency, and cost implications, especially in developing regions. Despite these limitations, the proposed framework demonstrates strong Potential for improving staff monitoring in institutions such as educational organizations, healthcare facilities, and government establishments. The research concludes that integrating biometric authentication ‘with GPS technology provides a More secure, reliable, and intelligence management solution capable of supporting modern digital transformation initiatives.

biometric, global positioning system, geofencing, attendance, system

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