Smart Camera Parking System With Auto Parking Spot Detection
Tuan T. Nguyen, Mina Sartipi

TL;DR
This paper introduces PakLoc, an automatic parking spot localization method, and PakSta, a system for determining parking spot occupancy, significantly reducing manual labeling and improving accuracy in smart parking systems.
Contribution
The paper presents novel automated techniques for parking spot localization and occupancy detection, reducing manual effort and enhancing system efficiency.
Findings
94.25% reduction in human labor for parking spot localization
PakSta achieves competitive accuracy in parking occupancy detection
Proposed methods outperform manual labeling approaches
Abstract
Given the rising urban population and the consequential rise in traffic congestion, the implementation of smart parking systems has emerged as a critical matter of concern. Smart parking solutions use cameras, sensors, and algorithms like computer vision to find available parking spaces. This method improves parking place recognition, reduces traffic and pollution, and optimizes travel time. In recent years, computer vision-based approaches have been widely used. However, most existing studies rely on manually labeled parking spots, which has implications for the cost and practicality of implementation. To solve this problem, we propose a novel approach PakLoc, which automatically localize parking spots. Furthermore, we present the PakSke module, which automatically adjust the rotation and the size of detected bounding box. The efficacy of our proposed methodology on the PKLot dataset…
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Taxonomy
TopicsSmart Parking Systems Research · Vehicle License Plate Recognition · Video Surveillance and Tracking Methods
MethodsEmirates Airlines Office in Dubai
