Smart Vehicle Parking Management System using Image Processing

被引:0
作者
Waqas, Maria [1 ]
Iftikhar, Umar [1 ]
Safwan, Muhammad [1 ]
Ul Abidin, Zain [1 ]
Saud, Ahmed [1 ]
机构
[1] NED Univ Engn & Technol, Dept Comp & Informat Syst Engn, Karachi 75270, Pakistan
来源
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2021年 / 21卷 / 08期
关键词
MaskRCNN; temporary parking space detection; firebase; real-time car detection;
D O I
10.22937/IJCSNS.2021.21.8.21
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The term parking management system usually refers to the custom built hardware intensive systems installed in building and malls. However, there are many places where such expensive solutions cannot be installed due to various reasons, like cost and urgent/temporary setup requirements. This project focuses on developing a parking management system based on image processing to detect vacant parking slot in an area where automated systems are not installed. Camera images of the parking area are subjected to image processing algorithm which marks virtual slots in the area and extracts occupancy information to guide the incoming drivers about availability and position of vacant spaces. The application consists of two interfaces: one for the guidance of the incoming drivers and the other one for the administrator. The later interface also informs the administrator if a car is not parked properly in the virtual slot. This parking system would reduce the stress and time wastage associated with car parking and would make the management of such areas less costly.
引用
收藏
页码:161 / 166
页数:6
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