TY - GEN
T1 - FaceCounter
T2 - 19th International Conference on Web Information Systems and Technologies, WEBIST 2023
AU - Moscol, Adrian
AU - Ugarte, Willy
N1 - Publisher Copyright:
Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
PY - 2023
Y1 - 2023
N2 - 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).
AB - 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).
KW - Benchmarking Facial Algorithms
KW - Educational Institution
KW - Face-Recognition Library
KW - Facial Recognition
KW - Massive Attendance
UR - https://www.scopus.com/pages/publications/85179585544
U2 - 10.5220/0012181100003584
DO - 10.5220/0012181100003584
M3 - Contribución a la conferencia
AN - SCOPUS:85179585544
T3 - International Conference on Web Information Systems and Technologies, WEBIST - Proceedings
SP - 84
EP - 94
BT - Proceedings of the 19th International Conference on Web Information Systems and Technologies, WEBIST 2023
A2 - Penalvo, Francisco Garcia
A2 - Marchiori, Massimo
PB - Science and Technology Publications, Lda
Y2 - 15 November 2023 through 17 November 2023
ER -