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Title: Moodle plugin for real-time face recognition in online exams for Systems Engineering and Computer Science students at Universidad Continental, Huancayo, Peru
Advisor(s): Gamarra Moreno, Job Daniel
OCDE field: https://purl.org/pe-repo/ocde/ford#2.00.00
Issue Date: 2024
Institution: Universidad Continental
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.
Discipline: Ingeniería de Sistemas e Informática
Grade or title grantor: Universidad Continental. Facultad de Ingeniería.
Grade or title: Ingeniero de Sistemas e Informática
Register date: 12-Jun-2024



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