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April 24, 2024International Journal of Innovative Science and Research Technology (IJISRT)Open Access

Facial Recognition-based Attendance System

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Authors

PMPriyanka MankeMSMohammed Hamza SiddiquiIqra UniversityHPHimanshu Pednekar

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Implication

Technical evaluation demonstrates automated facial recognition in student classrooms, indicating a robust and cost-effective alternative to manual tracking.

Key Points

  • Automated facial recognition reliably registers student attendance across varied head movements, eliminating manual recording errors and proxy attendance in classrooms.
  • Assessment using the Haar cascade algorithm, OpenCV, Dlib, and Pandas integrates high-resolution monitoring to log verification data directly into structured Excel formats.
  • Rigorous testing under variable illumination and camera-to-student distance highlights a cost-effective, low-maintenance image processing platform for institutional deployment.

Cite This Study

Manke et al. (2024) studied this question.

synapsesocial.com/papers/68e6dc24b6db64358765849chttps://doi.org/10.38124/ijisrt/ijisrt24apr1482
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