The article presents analysis of road crash accidents. It presents the evolution of safety systems, starting from a description of the curently used vehicle-based systems, with particular emphasis on the prediction of the driver falling asleep. The article also proposes a proprietary system of sleep prediction based on the face detection of drivers. The detection of facial landmarks is presented as a two-step process: an algorithm finds faces in general, and then needs to localize key facial structures within the face region of interest. The article presents the operation of the algorithm to detect driver falling asleep; method of detection and analysis.
SAŁAPATEK, D., DYBAŁA, J., CZAPSKI, P. et al. Driver drowsiness detection systems. Proceedings of the Institute of Vehicles. Warsaw University of Technology. 2017, 3(112), 41-48.
AGARWAL, A., YADAV, V. Advanced integrated future vehicle telematics system concept modelling. Global Jour-nal of Technology & Optimization. 2017, 8(2), 1-6. https://doi.org/10.4172/2229-8....
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