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May 20, 2026International Journal of Scientific Development and ResearchOpen Access

Real-Time Facial Recognition Attendance Systems with Integrated Dashboard

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Authors

JMJatin MehraAMAbhinav chandra Singh miyanSKS Vengatesh Kumar

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Overview

Randomized trial demonstrates a smart attendance system in universities, suggesting a reliable automation method.

Key Points

  • The aim is to create an automated attendance system that reduces proxy marking using real-time facial recognition.
  • Designed an attendance system utilizing facial recognition and liveness detection.
  • Implemented a majority-vote mechanism across several video frames to enhance identity accuracy.
  • Optimized the system to run on standard CPUs achieving 18 FPS.
  • Achieved 84.1% accuracy in face recognition with mask detection.
  • Demonstrated significant reduction in proxy marking in university settings.
  • Provided a cost-effective alternative to existing attendance systems.

Cite This Study

Mehra et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5013f03e14405aa9bb08https://doi.org/10.56975/ijsdr.v11i5.309772
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Real-Time Face Detection & Recognition Attendance Model2026
  2. 2Real-Time Face Recognition for Automated Student Attendance Monitoring2026
  3. 3Facial Recognition-Based Student Attendance System2024 · 9 citations
  4. 4Real-Time Student Attendance System Using AI and Face Recognition2025 · 1 citations
  5. 5Facial Recognition-based Attendance System2024 · 6 citations