Analýza vodiča pomocou obrazov

Abstract

This thesis focuses on the evaluation of the abnormal condition of the driver using images. The theoretical part is focused on available methods of human figure and face detection. The next section examines the datasets used in this area. The practical part of this thesis describes the implemented solution for driver state analysis using a combination of a convolutional neural network for face analysis and a neural network for body analysis.