IPS: Intelligent Parking System Using YOLO and Image Processing

Parking management systems often need to improve due to outdated infrastructure, inefficient manual processes, and the lack of automation, resulting in increased congestion and poor user experience.Traditional parking management systems, reliant on manual license plate entry and outdated payment methods, need help to meet modern demands.In response, this research introduces a novel Intelligent Parking System (IPS) that leverages automatic License Plate Recognition (LPR) with a YOLO model for real-time detection and recognition of vehicle license plates.By eliminating the need for sensors and manual data entry, our system enhances accuracy, reduces maintenance costs, and optimizes parking operations.Furthermore, integrating QR code-based payment simplifies and accelerates the payment process, reducing wait times and improving user experience.This approach addresses the growing need for scalable and adaptable parking solutions in smart city initiatives.Through this research, the IPS provides a scalable, intelligent alternative to conventional parking systems, contributing to smarter urban environments.

Authors

Publication Details

Journal
International Journal of Transport Development and Integration
Published
2024-09-27
DOI
https://doi.org/10.18280/ijtdi.080308
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.27
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article

IPS: Intelligent Parking System Using YOLO and Image Processing

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1 citations
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article

IPS: Intelligent Parking System Using YOLO and Image Processing

Sumit Kumar, Sanjeev Kumar Pippal, Ruchi Rani, Riya Agrawal, Mrunal Gund, Megha Dalsaniya, U.V. Chaudhari, Lisa Verma
article en
1 citations

Abstract

Parking management systems often need to improve due to outdated infrastructure, inefficient manual processes, and the lack of automation, resulting in increased congestion and poor user experience.Traditional parking management systems, reliant on manual license plate entry and outdated payment methods, need help to meet modern demands.In response, this research introduces a novel Intelligent Parking System (IPS) that leverages automatic License Plate Recognition (LPR) with a YOLO model for real-time detection and recognition of vehicle license plates.By eliminating the need for sensors and manual data entry, our system enhances accuracy, reduces maintenance costs, and optimizes parking operations.Furthermore, integrating QR code-based payment simplifies and accelerates the payment process, reducing wait times and improving user experience.This approach addresses the growing need for scalable and adaptable parking solutions in smart city initiatives.Through this research, the IPS provides a scalable, intelligent alternative to conventional parking systems, contributing to smarter urban environments.

International Journal of Transport Development and IntegrationVol. 08(03)
Sustainable cities and communities
Openalex Percentile: Top 43%
Smart Parking Systems Research
0.27
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IPS: Intelligent Parking System Using YOLO and Image Processing — Sumit Kumar, Sanjeev Kumar Pippal, et al. · International Journal of Transport Development and Integration (2024) | TGRS Research Map | TGRS