Browsing by Subject "Face recognition"

Browsing by Subject "Face recognition"

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  • AI-Powered Attendance System Using or Codes and Facial Recognition 
    Adikaram, K.K.J.K.B.; Mohomed Wazeem, S.K.; Ranaweera, S.D.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This research introduces a Safe and Smart Dual Authentication Student Attendance System using Facial Recognition and QR Code verification to eliminate proxy attendance and enhance operational efficiency in academic ...
  • Attendance Marking System using QR codes with Facial Features 
    Adikaram, K.K.J.K.B.; Mohomed Wazeem, S.K.; Ranaweera, S.D.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    This research presents the design and implementation of a secure, AI-powered attendance system utilizing dual authentication through facial recognition and QR code verification. The study addresses the prevalent issues ...
  • Automated Student Attendance Management Using Real-Time Face Recognition 
    Kavindya, S.A.S.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This paper presents a facial recognition-based student attendance management system aimed at automating and improving accuracy for students attending extra classes. Traditional manual attendance methods are time-consuming ...
  • Edge-AI-Enabled Passenger Tracking for Public Buses with Face Recognition and GPS 
    Sanjeevan, S.; Caldera, H.P.S.N.; Gimhani, M.M.C.; Mayuran, P. (Korea Database Strategy Society (KDSS), 2026)
    In many developing countries, the counting of passengers in buses is done manually, resulting in a loss of revenue for the transportation companies. This paper proposes an IoT-based tracking system for passengers in buses ...
  • IoT-Enabled Face Recognition Attendance Systems for University Students in Sri Lanka 
    Jayathilaka, V.A.N.T.; Ravichandran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This study presents a comprehensive face recognition attendance system designed for educational institutions in Sri Lanka. The system leverages Insight Face's buffalo l model as the primary recognition engine, achieving ...
  • A New Method for Authentication Systems Using Face Recognition Based on Feature Extraction 
    Priyatharsan, U.; Hemija Sarawana, P.; Linosh, N.E. (The International Research & Development Institution (TIRDI), No.131/8, Hokandara North, Hokandara. Sri Lanka, 2019)
    Face Recognition is the most common and popular technique in the current authentication bio metric systems. It is the most acceptable because it can be used remotely without the collaboration with object. However, the ...
  • A NOVEL FACE RECOGNITION AUTHENTICATION SYSTEM BASED ON ONE-DIMENSIONAL STATISTICS 
    Priyatharsan, U.; Hemija Sarawana, P.; Linosh, N.E. (The International Research & Development Institution (TIRDI), 2021)
    In today's authentication biometric technologies, face recognition is the most popular and widely used technique. It is the most acceptable since it could be used without requiring object coordination. However, during the ...