Smart Parking System Using Image Processing for Efficient Space Management

With the rapid rise in vehicle usage, finding an available parking spot has become increasingly difficult, leading to traffic congestion and inefficiencies. Ineffective parking management, particularly in urban areas, results in illegal roadside parking and wasted time searching for vacant spaces. To address this issue, a smart parking system utilizing real-time image processing is proposed. By employing cameras to capture and analyze parking spaces, the system can identify available slots and provide real-time updates. The captured images differentiate between occupied and vacant spaces, allowing drivers to locate parking spots efficiently without unnecessary fuel consumption. Compared to traditional manual parking systems, this approach enhances parking management in public spaces, such as offices, shopping centers, and urban parking lots. This smart parking solution not only reduces traffic congestion but also contributes to a more sustainable and organized urban infrastructure.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.5281/zenodo.15093722
Primary Topic
Geological and Geochemical Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Parking System Using Image Processing for Efficient Space Management

Zenodo (CERN European Organization for Nuclear Research)
Geological and Geochemical Analysis
article

Smart Parking System Using Image Processing for Efficient Space Management

article en

Abstract

With the rapid rise in vehicle usage, finding an available parking spot has become increasingly difficult, leading to traffic congestion and inefficiencies. Ineffective parking management, particularly in urban areas, results in illegal roadside parking and wasted time searching for vacant spaces. To address this issue, a smart parking system utilizing real-time image processing is proposed. By employing cameras to capture and analyze parking spaces, the system can identify available slots and provide real-time updates. The captured images differentiate between occupied and vacant spaces, allowing drivers to locate parking spots efficiently without unnecessary fuel consumption. Compared to traditional manual parking systems, this approach enhances parking management in public spaces, such as offices, shopping centers, and urban parking lots. This smart parking solution not only reduces traffic congestion but also contributes to a more sustainable and organized urban infrastructure.

Zenodo (CERN European Organization for Nuclear Research)
Institute of Engineering (NP)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Geological and Geochemical Analysis
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