| Title |
Design of an Open Platform-based Smart Parking System |
| Authors |
남문현(Munhyun Nam) ; 이후진(Hoojin Lee) |
| DOI |
https://doi.org/10.5573/ieie.2019.56.11.39 |
| Keywords |
Machine learning ; Raspberry pi ; System design ; IoT ; |
| Abstract |
It is expected that changes in the transportation ecosystem will be made based on issues such as electric vehicles, shared economy, and unmanned driving while adapting to the entry into a hyper-connected society. As cars are evolving into IT-armed Smart Cars, in particular, one of the main causes of traffic congestion in the city center has become a very important issue to be investigated and reported during the parking process. It is very difficult to secure enough parking lots and related facilities. the development of intelligent parking controls is inevitable. Various methods have been suggested to address these parking spaces, but problems with the existing excessive cost of deployment have led to poor penetration and diffusion. In order to solve the problem of an individual parking information system, the design of low-cost, high-efficiency open-source-based light parking system for small parking lots is designed in this paper, and thus presenting the direction of solving the city parking problem. Specifically, parking information on the street parking spaces is collected through smart cameras. It is planning to design a lightweight parking management system that can provide information to users and control through real-time delivery to the cloud system through the IoT network. The system consists of a raspberry pie-based CCTV for detecting vehicles, a map-learning parking recognition algorithm for analyzing collected information, IoT communication technology for transmitting information and a cloud system. |