Driver drowsiness is one of major causes of growing number of road accidents. To combat this problem car makers install their proprietary and expensive driver alert systems. In this paper an analogous system based on an opensource machine learning library is presented. The proper eye aspect ratio for closed eyes is discussed and estimated. The accuracy of closed eyes recognition is tested on a basis of several public available face libraries.
CITATION STYLE
Karwowski, W., Reszke, P., & Rusek, M. (2020). Artificial Intelligence System for Drivers Fatigue Detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12133 LNCS, pp. 39–50). Springer. https://doi.org/10.1007/978-3-030-47679-3_4
Mendeley helps you to discover research relevant for your work.