Design of intelligent management system for stereo garage based on deep learning

Designing an intelligent management system for three-dimensional parking equipment is of great practical significance to the development of intelligent transportation system (ITS). With the rapid development of artificial intelligence, machine vision based on deep learning has been widely used in the fields of vehicle identification, license plate identification, and automatic driving. In this paper, based on the actual needs of the current garage management system, the design of intelligent garage management system is carried out based on deep learning from vehicle identification, license plate setting and automatic timing and billing. Through MATLAB platform, the GUI interface is designed, and the test of each function is carried out in combination with a small stereo garage testing machine. The test results show that the intelligent garage management system based on deep learning can meet the design requirements. It can provide reference for the intelligent management of surface and above-ground parking lots and stereo garages.