International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 13 Issue: 02 | Feb 2026
p-ISSN: 2395-0072
www.irjet.net
G-FACE - GEO-FENCING AND FACE AUTHENTICATION FOR CONTACTLESS ENTRY Dr.S. Parthasarathy1, P. M.Thiravidan2, G. Jayasuriya3, M.K.Vishwaraj4 , E.Sundara Vignesh5, DR. A. ASKARUNISA6, R. Thangasankaran7 1 Professor, EEE Dept, Director - KLN.IRP, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India 2,3,4,5 UG Scholar, CSE Dept, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India
6 Professor & Head of Department, CSE Dept, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India 7 AP/EEE Dept, KLN.IRP Coordinator, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India
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Abstract: G-FACE (Geo-Fencing and Face Authentication
attendance recording, secure cloud-based data storage, and instant access for administrators. Attendance is marked only when users are within the authorized geofenced area and successfully complete facial authentication.
for Contactless Entry) is a App-based attendance management system designed to eliminate manual attendance issues such as proxy entries, inaccuracies, and administrative overhead in educational institutions. The system enables location-restricted attendance marking using geo-fencing and verifies user identity through face authentication to ensure secure and reliable tracking. Developed using React.js with Supabase as the backend, GFACE provides real-time attendance recording, secure data storage, and instant access for administrators. The system supports flexible schedules, multi-location tracking, and automated report generation, improving transparency, efficiency, and overall reliability of attendance management
Furthermore, G-FACE supports flexible schedules, multilocation attendance tracking, and automated report generation, making it suitable for modern academic environments. By minimizing manual intervention and ensuring transparent, real-time data management, the system improves operational efficiency, reliability, and trust in attendance monitoring.
II. METHODOLOGY
Keywords : Geo-Fencing, Face Authentication, Contactless Attendance System, React.js, Supabas), Real-Time Attendance Tracking, Secure Data Storage, Automated Report Generation, Multi-Location Attendance
The objective of the proposed G-FACE (Geo-Fencing and Face Authentication for Contactless Entry) system is to provide a secure, automated, and reliable attendance management solution for educational institutions. The methodology follows a structured, role-based workflow that ensures accuracy, transparency, and accountability in attendance tracking. The system is developed as an appbased solution using React.js for the frontend and Supabase for backend services, including authentication, database management, and real-time data handling..
I. INTRODUCTION The rapid digital transformation of educational institutions has increased the need for automated and reliable attendance management systems. Traditional methods such as manual registers or basic digital checkins often suffer from issues like proxy attendance, data inaccuracies, and increased administrative workload. These limitations reduce the credibility of attendance records and hinder efficient academic administration.
The system defines distinct user roles such as Students, Faculty, and Administrators, each having role-based access privileges. Students can log into the application and initiate attendance marking only when they are physically present within a predefined geo-fenced location. The system continuously validates the user’s geographic coordinates against authorized boundaries before enabling the attendance option. This location-based verification ensures that attendance cannot be marked from unauthorized or remote locations.
To address these challenges, modern attendance systems integrate location-based verification and biometric authentication techniques. Geo-fencing restricts attendance marking to predefined physical locations such as classrooms or campuses, while face authentication verifies user identity before recording attendance. This dual-verification approach significantly improves accuracy, prevents fraudulent entries, and enhances overall system security. The proposed G-FACE (Geo-Fencing and Face Authentication for Contactless Entry) system leverages these technologies to provide a fully automated, app-based attendance solution. Developed using React.js with Supabase as the backend, the system enables real-time
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Once inside the geo-fenced area, the user undergoes face authentication to verify identity. Only after successful facial verification is the user allowed to mark attendance using IN and OUT actions, which accurately record entry and exit times. If face authentication fails or the user moves outside the geo-fenced area, the system restricts attendance marking. All attendance records are stored
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