Title

GeoWorkTrack: A Comprehensive Real-Time GPS-Based Employee Monitoring and Attendance Management System

Authors

1. Pankaj Tile, Sandip Institute of Technology and Research Centre, Student, India

Abstract

This paper presents a state-of-the-art GPS-based system, GeoWorkTrack, for employee monitoring and attendance management. The system automates attendance tracking, enhances workforce oversight, and promotes productivity through the use of real-time location data and geofencing technologies. During office hours, the system monitors employee locations, logs entry and exit times, calculates attendance percentages, and detects overtime events. Built using a robust technology stack that includes Spring Boot, Hibernate, Thymeleaf, and WebSocket, the system ensures seamless and real-time communication with minimal delays. Although effective, limitations such as GPS accuracy and battery consumption remain. This solution is versatile and applicable across multiple sectors, including corporate monitoring, field service management, and military applications.

Keywords

GPS tracking employee monitoring geofencing real-time updates attendance management.

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Conclusion

This paper demonstrates a powerful tool for modern workforce management, offering real-time GPS-based tracking, geofence management, and automated attendance recording. By integrating advanced algorithms and secure data transmission protocols, the system ensures reliable, accurate, and efficient employee monitoring. Future enhancements could include mobile app development for broader compatibility and AI-driven predictive analytics for proactive workforce management.

Reference

1. Smith, J., & Brown, A.Real-Time Location Tracking Using GPS Technologies1 . International Journal of IoT and Geospatial Systems, 12(4), 145-160
2. Doe, M., & Lee, K. (2022). Employee Management Systems and Automated Attendance Tracking2 . ACM Transactions on Workforce Management, 10(2), 89-105
3. IEEE Standard for Geofencing Solutions. (2021). IEEE Access, 9, 34891-3490
4. Van der Spek, S., Van Schaick, J., De Bois, P., & De Haan, R. (2009). Sensing Human Activity: GPS Tracking

Author Contribution

Sairaj Sonawane: Conceptualized and designed the system architecture. Pankaj Tile: Developed and implemented the geofencing and tracking algorithms. Abhishek Prajapati: Conducted testing, debugging, and report drafting. Hitesh Patil : Performance evaluation, Optimization.

Funding

This research received no external funding. All work was conducted as part of the curriculum requirements for the Department of Computer Engineering, Sandip Institute of Technology and Research Centre.

Software Information

Springboot , Thymeleaf, websokets, mySql.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledge

We would like to thank our mentor, Ashish Jagneet, for guidance and support throughout this project. We also extend our gratitude to the Sandip Institute of Technology and Research Centre for providing the resources and environment necessary for the development of this project.

Data availability

The datasets generated for this study are available in the liveLocationWithSpringboot repository GitHub - Pankaj-Tile/liveLocationWithSpringboot. For further information, please contact [email protected].