A Low-Cost Vehicle Assistance System for Detection of Critical Driving Situations

Michal Hlavatý; Ján Cigánek; Alena Kozáková; Erik Kučera; Oto Haffner

doi:10.2478/scjme-2024-0033

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A Low-Cost Vehicle Assistance System for Detection of Critical Driving Situations

Strojnícky časopis - Journal of Mechanical Engineering

Volume 74 (2024): Issue 3 (November 2024)

By: Michal Hlavatý, Ján Cigánek, Alena Kozáková, Erik Kučera and Oto Haffner

Open Access

|Nov 2024

Abstract

The paper presents a low-cost driver fatigue detection camera system for older car models that do not have built-in fatigue detection systems. Based on a review of current solutions and image processing methods for face and eye detection, the Viola-Jones method for face detection and the cascade regression for eye detection were selected to enable real-time detection via smartphones and avoid the high cost of traditional systems. The proposed system has been successfully tested with real-time video under laboratory conditions.

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Articles in this issue

DOI: https://doi.org/10.2478/scjme-2024-0033 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

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Language: English

Page range: 55 - 68

Published on: Nov 28, 2024

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Related subjects:

Mechanical engineering,

Fundamentals of mechanical engineering,

Mechanics

© 2024 Michal Hlavatý, Ján Cigánek, Alena Kozáková, Erik Kučera, Oto Haffner, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 74 (2024): Issue 3 (November 2024)