A Driver Fatigue Recognition System, Based on an Artificial Neural Network
Shvets O. Smakanov B. Györök G. Kovács L.
2024Budapest Tech Polytechnical Institution
Acta Polytechnica Hungarica
2024#21Issue 8211 - 226 pp.
The paper proposes a method for monitoring the state of a driver, based on the use of neural networks. An intelligent automated system based on a fuzzy inference algorithm has been developed. The relevance of the study is considered. It is carried out a review of studies on this topic and the history of the problem development. Ensuring road safety, is one of the priority State tasks, for the Republic of Kazakhstan. The goal of the study based on the review was set: the development of an automated system for monitoring the drivers condition using artificial neural network (ANN). The theoretical-empirical method was chosen as the research method. As a result of the study, an ANN containing 3 layers was developed: an input layer of 7 elements, a hidden layer of 14 elements, and an output layer of 2 elements. Based on the constructed model, the software Intellectual system for monitoring the state of a person during work associated with increased danger was developed. All considered methods and algorithms are implemented in the software package in C#. The obtained results are discussed, and it is concluded that the developed ANN-based assessment model is able to reliably assess driver fatigue and can be applied in real conditions.
artificial neural network (ANN) , automation , fuzzy logic , image recognition , monitoring , transport safety
Text of the article Перейти на текст статьи
D. Serikbayev East-Kazakhstan Technical University, Serikbayev st., 19, Ust-Kamenogorsk, 070003, Kazakhstan
Óbuda University, Bécsi út 96/B, Budapest, 1034, Hungary
D. Serikbayev East-Kazakhstan Technical University
Óbuda University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026