Design and Module Simulation of a Smart Parking System Based On QR Code and Drone Monitoring for Open-Space Temporary Parking Lots

Abstract

To solve the problem of low parking efficiency and poor management in open temporary parking lots, a smart parking system was designed based on QR code and drone monitoring technologies. The system consists of four modules: parking spot QR code module, drone photography module, data processing module, and user interface module. Functional simulation of each module in the system was carried out by experiments with software programming. The capture of QR codes was achieved by fixed-point drone photography. Programmed with Python, the main system could successfully decipher QR codes, gather the occupancy status of parking spots and update the status as well. Then the user interface module could help users to make decisions on parking spots by presenting the parking status in different colors via a program written with Autoit3. The results show that this system is userfriendly, capable to be deployed at a low cost in a short time, and remains stable when running over a certain period. In the meantime, the occupancy status of the parking spots can be detected and recorded smoothly and readily, suggesting that this technology will have a wide range of applications in future.