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Authors: Adrian Moscol and Willy Ugarte

Affiliation: Universidad Peruana de Ciencias Aplicadas, Lima, Peru

Keyword(s): Massive Attendance, Facial Recognition, Face-Recognition Library, Educational Institution, Benchmarking Facial Algorithms.

Abstract: Our purpose is to implement a facial recognition system that will improve efficiency when taking assistance in educational institutes, as well as reducing the possible cases of identity theft. To achieve our objective, a facial recognition system will be created that, upon receiving a photograph of the students present in the classroom, will identify them and confirm their attendance in the database. The investigation of pre-trained models using the agile benchmarking technique will be important, the analyzed and compared models will serve as a basis for the development of the facial recognition system. This program will be connected to an application that will use a simple interface so that teachers can save class time or evaluation’s time by taking attendance or confirming the identity of the students present. Also, it will increase security by avoiding possible identity theft with tools such as false fingerprint molds (admission exams) or partial and/or final exams (false ID).

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Paper citation in several formats:
Moscol, A. and Ugarte, W. (2023). FaceCounter: Massive Attendance Taking in Educational Institutions Through Facial Recognition. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-672-9; ISSN 2184-3252, SciTePress, pages 84-94. DOI: 10.5220/0012181100003584

@conference{webist23,
author={Adrian Moscol. and Willy Ugarte.},
title={FaceCounter: Massive Attendance Taking in Educational Institutions Through Facial Recognition},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST},
year={2023},
pages={84-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012181100003584},
isbn={978-989-758-672-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST
TI - FaceCounter: Massive Attendance Taking in Educational Institutions Through Facial Recognition
SN - 978-989-758-672-9
IS - 2184-3252
AU - Moscol, A.
AU - Ugarte, W.
PY - 2023
SP - 84
EP - 94
DO - 10.5220/0012181100003584
PB - SciTePress

- Science and Technology Publications, Lda.
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