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An Optimized Facial Recognition-Based Attendance System with Enhanced Security for Educational Institutions

  • Unique Paper ID: 173758
  • Volume: 11
  • Issue: 10
  • PageNo: 1435-1440
  • Abstract:
  • Facial recognition technology has emerged as a promising solution for automated attendance systems. Traditional attendance tracking methods, such as manual roll calls and RFID-based systems, are prone to errors, time-consuming, and susceptible to proxy attendance. This paper introduces An Optimized Facial Recognition-Based Attendance System with Enhanced Security for Educational Institutions, an adaptive facial recognition-based attendance system that leverages incremental learning, fine-tuning, and automated data management to overcome these limitations. The proposed system ensures high accuracy, real-time attendance tracking, and seamless adaptability to new student entries without requiring complete retraining. Using state-of-the-art machine learning techniques, An Optimized Facial Recognition-Based Attendance System with Enhanced Security for Educational Institutions improves recognition under varying environmental conditions, making it a robust and scalable solution for educational institutions and organizations.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 1435-1440

An Optimized Facial Recognition-Based Attendance System with Enhanced Security for Educational Institutions

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UGC Approved
Journal no 47859

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