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

Vargas M.T.; Valle L.F.R.; Vera D.P.; Moreno D.G. · 2023 5th International Conference on Robotics and Computer Vision, ICRCV 2023 (2023) · DOI: 10.1109/icrcv59470.2023.10329180

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.

Instituciones: Universidad Continental