Detekce obsazenosti parkovacích míst pomocí algoritmu strojového učení s učitelem

Abstract

Nowadays, image processing techniques are used in many fields of transport. One of the problems is the occupancy detection of parking areas. The obtained information can be used for example, for automated parking systems or in intelligent transport systems. This thesis describes the problem of detection of free parking spaces and introduces the principle of supervised machine learning. One of the algorithms for supervised machine learning was selected and described. Subsequently it was implemented using OpenCV library and also tested at the final stage. The obtained results are described.