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Realization of a WebGIS for Remote Control of Biometric Sensors for Facial Recognition of Permanent Staff in an Educational Environment: The Case of the Ministry of National Education in Conakry, Guinea

DOI: 10.4236/jgis.2025.174010, PP. 199-219

Keywords: WebGIS, Geolocated Biometric Sensors, Facial Recognition, Attendance Management, QGIS Server, Lizmap, PostGIS, MENA, Conakry

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Abstract:

Initially focused on the earth sciences and mining resources, remote sensing is now finding increasing applications, notably in human resources management in public administration. This study proposes a WebGIS for real-time tracking using geolocated biometric sensors for facial recognition, with a view to optimizing the attendance management of MENA teachers in Conakry. The system is based on an integrated architecture combining open-source facial recognition sensors, a PostgreSQL/PostGIS database, a QGIS Server, and a Lizmap Web Client interface. Each sensor, installed in a school, automatically detects the teachers initially enrolled and records their clocking-in times. Data is stored locally and then transmitted to the central server via the MQTT protocol, with GSM/GPRS or LoRa relay in the event of failure. This infrastructure enables attendance to be mapped and controlled remotely, promoting transparency and administrative efficiency. Analysis of facial recognition clocking-in data, collected in nine MENA schools in Conakry for a total of 334 teachers, reveals an overall weekly attendance rate of 80.7%, i.e., 1,348 attendances out of 1,670 expected. Of these, 73.5% were on schedule, while 26.5% showed irregularities (late arrivals, early departures, or both). These discrepancies are mainly due to rush-hour traffic jams, aggravated by the fact that, for economic reasons, most teachers live in the suburbs. As for absences (19.3%), the main causes identified are: socio-political problems (70%), social events (22%), health reasons (7%), and 1% unjustified. A notable anomaly was observed on the 2nd day of collection with 68% absences, linked to a political demonstration by opposition parties. The integration of these data into a WebGIS system enables dynamic, geographical visualization of teacher presence, promoting better workforce management and decision-making within the Ministry.

References

[1]  MFPREMA: Ministère de la Fonction Publique de la Réforme de l’État et de la Modernisation de l’Administration (2015) Contrôle des fonctionnaires à par des pointages électroniques.
https://www.guinee7.com/2015/11/12/sekou-kouroumah-ministre-de-la-fonction-publique-ce-qui-echappe-a-notre-administration-cest-le-controle-laisser-aller-le-laxisme/
[2]  Guinee7 (2015) Le pointage électronique, une réalité dans l’administration publique.
https://www.guinee7.com/2015/03/25/le-pointage-electronique-une-realite-dans-ladministration-publique/
[3]  WeAreTech Africa (2024) Cameroon Bets on Biometrics to Monitor Public Sector Attendance.
https://www.wearetech.africa/en/fils-uk/news/tech/cameroon-bets-on-biometrics-to-monitor-public-sector-attendance
[4]  Elpis Groups (2024) Biometric Control of Students in Ivory Coast Schools.
https://www.elpisgroups.com/en/education/1111-biometric-control-of-students-in-ivory-coast-schools
[5]  King Cyrus Online (2024) Biometric Devices for Teacher Attendance: GES’s New Initiative Resurfaces.
https://kingcyrusonline.com/biometric-devices-for-teacher-attendance-gess-new-initiative-resurfaces/
[6]  Data Rosetta Stone (2023) Understanding the Differences between UML and Merise.
https://data-rosetta-stone.com/
[7]  Larman, C. (2024) Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development. 3rd Edition, Pearson, 627.
[8]  Zhao, W., Chellappa, R., Phillips, P.J. and Rosenfeld, A. (2003) Face Recognition: A Literature Survey. ACM Computing Surveys (CSUR), 35, 399-458.
https://doi.org/10.1145/954339.954342
[9]  Introna, L.D. and Nissenbaum, H. (2009) Facial Recognition Technology: A Survey of Policy and Implementation Issues. Center for Catastrophe Preparedness and Response, New York University, 41.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1437730
[10]  Jain, A.K., Ross, A. and Prabhakar, S. (2004) An Introduction to Biometric Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14, 4-20.
https://doi.org/10.1109/TCSVT.2003.818349
[11]  Kavanagh, M.J. and Johnson, R.D. (2017) Human Resource Information Systems: Basics, Applications, and Future Directions. 4th Edition, SAGE Publications, 592.
[12]  NITI Aayog (2020) Leveraging AI for Transforming Education in India. Government of India.
https://www.niti.gov.in
[13]  Norazah, M.N., Zaidatun, T. and Zaharah, H. (2019) The Use of Biometric Attendance Systems in Malaysian Schools: Impact and Challenges. International Journal of Educational Management, 33, 963-976.
[14]  World Bank (2021) Enhancing Teacher Management through Geographic Information Systems (GIS): A Case Study of Sub-Saharan Africa. World Bank Group.
[15]  UNESCO IIEP (2020) Using Geographic Information Systems in Planning and Managing Education Systems. International Institute for Educational Planning.
[16]  Déniel, C. and Langlois, D. (2021) La biométrie: Identification, authentification, sécurisation. Presses Universitaires de France.
[17]  Uddin, M.M., Hassan, M.M. and Alqahtani, A. (2021) Biometric Attendance System: A Step toward Efficient Human Resource Management in Public Institutions. Journal of Public Administration and Governance, 11, 45-59.
[18]  Baud, M. and Bourgeat, S. (2019) Les Systèmes d’Information Géographique: Concepts, Méthodes et Applications. Armand Colin.
[19]  OCDE (2007) L’État au service d’un développement centré sur les résultats. Organisation de Coopération et de Développement Économiques.

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