Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru

Miguel Torres Vargas; Luis Fernando Rojas Valle; Diego Porras Vera; Daniel Gamarra Moreno

doi:10.1109/ICRCV59470.2023.10329180

Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru

Miguel Torres Vargas
, Luis Fernando Rojas Valle
, Diego Porras Vera
, Daniel Gamarra Moreno

Universidad Continental

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

Resumen

Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39% for face detection similarity distance.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	164-168
-	5
ISBN (versión digital)	9798350326369
DOI	https://doi.org/10.1109/ICRCV59470.2023.10329180
Estado	Indizado - 2023
Evento	5th International Conference on Robotics and Computer Vision, ICRCV 2023 - Nanjing, China Duración: 15 set. 2023 → 17 set. 2023

Serie de la publicación

Nombre	2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023

Conferencia

Conferencia	5th International Conference on Robotics and Computer Vision, ICRCV 2023
País/Territorio	China
Ciudad	Nanjing
Período	15/09/23 → 17/09/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Acceder al documento

10.1109/ICRCV59470.2023.10329180

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Vargas, M. T., Valle, L. F. R., Vera, D. P., & Moreno, D. G. (2023). Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru. En 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023 (pp. 164-168). (2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRCV59470.2023.10329180

Vargas, Miguel Torres ; Valle, Luis Fernando Rojas ; Vera, Diego Porras et al. / Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru. 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 164-168 (2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023).

@inproceedings{1860645b1c124ed68ca72d52d416ab7a,

title = "Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru",

abstract = "Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39\% for face detection similarity distance.",

keywords = "face recognition, moodle, plugin",

author = "Vargas, \{Miguel Torres\} and Valle, \{Luis Fernando Rojas\} and Vera, \{Diego Porras\} and Moreno, \{Daniel Gamarra\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Robotics and Computer Vision, ICRCV 2023 ; Conference date: 15-09-2023 Through 17-09-2023",

year = "2023",

doi = "10.1109/ICRCV59470.2023.10329180",

language = "American English",

series = "2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023",

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}

Vargas, MT, Valle, LFR, Vera, DP & Moreno, DG 2023, Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru. En 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023. 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023, Institute of Electrical and Electronics Engineers Inc., pp. 164-168, 5th International Conference on Robotics and Computer Vision, ICRCV 2023, Nanjing, China, 15/09/23. https://doi.org/10.1109/ICRCV59470.2023.10329180

Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru. / Vargas, Miguel Torres; Valle, Luis Fernando Rojas; Vera, Diego Porras et al.
2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 164-168 (2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru

AU - Vargas, Miguel Torres

AU - Valle, Luis Fernando Rojas

AU - Vera, Diego Porras

AU - Moreno, Daniel Gamarra

PY - 2023

Y1 - 2023

N2 - Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39% for face detection similarity distance.

AB - Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39% for face detection similarity distance.

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Vargas MT, Valle LFR, Vera DP, Moreno DG. Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru. En 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 164-168. (2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023). doi: 10.1109/ICRCV59470.2023.10329180

Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru

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