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

Autor: Hlavatý Michal, Cigánek Ján, Kozáková Alena, Kučera Erik, Haffner Oto
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Mechanical Engineering, Vol 74, Iss 3, Pp 55-68 (2024)
Druh dokumentu: article
ISSN: 2450-5471
DOI: 10.2478/scjme-2024-0033
Popis: 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.
Databáze: Directory of Open Access Journals