Advanced Driver Assistance System for the drowsiness detection using facial landmarks

Authors: LDS Cueva, J Cordero

Abstract:

This paper presents the development of a solution to detect a driver's drowsiness in real time and issue alerts to avoid possible traffic accidents. In particular, an analysis of the methods used for the detection of drowsiness by computer vision is performed, focusing on the use of facial reference points. Distraction, drowsiness, tiredness, speeding and fatigue are the main causes of accidents and, precisely, advanced driver assistance systems ADAS help reduce these serious human errors.

Keywords: Facial landmark, Computer vision, Drowsiness Detection

Link: https://ieeexplore.ieee.org/abstract/document/9140893 

Monitoring for the Evaluation Process On-Line Prototype Based on OpenFace Algorithm

 Authors: O Ruiz-Vivanco, A Gonzalez-Eras, J Cordero, L Barba-Guaman

Abstract:
This project was designed to present a prototype of facial authentication system that allows for the recognition of students who are using an online platform to take final evaluations in our Distance Learning Program, with the purpose of detecting fraud and identity theft. It uses the OpenFace algorithm based on neural networks, taking input from two-dimensional images of the student from time to time during the participation on the exam. We present a system for face recognition using an image database of faces in classroom setting to demonstrate the improvement using this OpenFace algorithm for the preprocessing approach. The preliminary results indicate a high accuracy in the recognition of students, in terms of brightness, size and quality of the image of the face.

Keywords: Computational intelligence, Computer vision, Face authentication, Neural networks, OpenFace algorithm

Link: https://link.springer.com/chapter/10.1007/978-3-030-05532-5_37