Vacant parking guidance for open parking area via image processing technique

The increased car density has a significant negative impact on the city's quality of life. As a result, parking in densely populated areas with many cars often results in more driving time in search of free space, which can contribute to pollution. Although there are numerous new smart parking...

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Hauptverfasser: Sulaiman, Suhana, Nasarudin, Tasneem Ahmad, Aziz, Azri Abdul, Razak, Abdul Hadi Abdul
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:The increased car density has a significant negative impact on the city's quality of life. As a result, parking in densely populated areas with many cars often results in more driving time in search of free space, which can contribute to pollution. Although there are numerous new smart parking systems, the majority of them are designed for close parking. At the moment, no sensors or technologies are used for open parking spaces, such as those found in commercial complexes. Smart parking sensors and technology can help drivers find parking more easily and efficiently. The inefficiency of parking management for open parking is discussed in this paper. From the literature search it is concluded that currently, an image processing technique was used to solve the problem of open parking space is the best solution. This is because many cars are driving around unnecessarily in search of a free parking space. This can be mitigated by providing drivers with information about available parking spaces in an open parking area. The image processing technique is used to guide the driver in determining which area has a vacant parking slot. To determine the number of available parking spaces, several images of open parking areas were captured and analyzed using image processing techniques. The discovery reveals that as the value of the overall parking space increases, so does the value of marker sizes and font size. The equation of a straight line is derived from the graphs to represent the real-life equation of each graph.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0192318