Automatic Attendance Management System based on Deep One-Shot Learning

@article{Menezes2020AutomaticAM,
  title={Automatic Attendance Management System based on Deep One-Shot Learning},
  author={Angelo G. Menezes and Jo{\~a}o M. D. da C. S{\'a} and Eduardo Llapa and Carlos A. Estombelo-Montesco},
  journal={2020 International Conference on Systems, Signals and Image Processing (IWSSIP)},
  year={2020},
  pages={137-142}
}
  • Angelo G. Menezes, João M. D. da C. Sá, +1 author Carlos A. Estombelo-Montesco
  • Published 2020
  • Computer Science
  • 2020 International Conference on Systems, Signals and Image Processing (IWSSIP)
  • Due to the positive relationship between the presence of students in classes and their performance, student attendance assessment is considered essential within the classroom environment, even as a tiring and time-consuming task. We proposed a solution for student attendance control using face recognition with deep one-shot learning and evaluated our approach in different conditions and image capturing devices to confirm that such a pipeline may work in a real-world setting. For better results… CONTINUE READING
    1 Citations
    Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification
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