Number plate recognition smart parking management system using IoT
This study aims to address the urban vehicle parking issues by proposing a solution using Automatic Number Plate Recognition (ANPR) through image processing and a sensor-based hardware system. Integrating these technologies forms a Smart Parking Management System (SPMS) to automate parking processes...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Measurement: Sensors |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917424003854 |
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| author | Allah Ditta Muhammad Maroof Ahmed Tehseen Mazhar Tariq Shahzad Yazan Alahmed Habib Hamam |
| author_facet | Allah Ditta Muhammad Maroof Ahmed Tehseen Mazhar Tariq Shahzad Yazan Alahmed Habib Hamam |
| author_sort | Allah Ditta |
| collection | DOAJ |
| description | This study aims to address the urban vehicle parking issues by proposing a solution using Automatic Number Plate Recognition (ANPR) through image processing and a sensor-based hardware system. Integrating these technologies forms a Smart Parking Management System (SPMS) to automate parking processes and enhance the parking experience. The study aims to create an efficient system that eliminates manual vehicle registration and optimizes space utilization. ANPR and IoT-based sensors help users identify the available slots and pay only for the actual parking duration, which will help to minimize the fixed billing rates. The proposed ANPR system processes vehicle number plates at entry, ensuring seamless identification and eliminating manual registration. IoT sensors monitor real-time slot occupancy, transmitting data to a web admin panel. This panel provides insights such as entry and exit times, total parking duration, and billing costs, facilitating efficient management and remote monitoring. The ANPR-based SPMS reduces reliance on manual processes, streamlining entry procedures. By dynamically assessing slot availability through IoT sensors, users can locate unoccupied spaces quickly, which enhances user convenience. The web admin panel allows administrators to monitor the system remotely, ensuring smooth operations and maintaining accurate records. This study introduces a comprehensive solution to urban parking challenges by integrating ANPR and IoT technologies. The SPMS improves efficiency, reduces human resource needs, and enhances user experience with flexible billing based on actual duration. The combination of hardware and software provides a foundation for effective urban parking management. |
| format | Article |
| id | doaj-art-8654c37d1b9b4f2b841a6d1bcd5dae06 |
| institution | Kabale University |
| issn | 2665-9174 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj-art-8654c37d1b9b4f2b841a6d1bcd5dae062025-01-26T05:04:52ZengElsevierMeasurement: Sensors2665-91742025-02-0137101409Number plate recognition smart parking management system using IoTAllah Ditta0Muhammad Maroof Ahmed1Tehseen Mazhar2Tariq Shahzad3Yazan Alahmed4Habib Hamam5Department of Information Sciences, Division of Science and Technology, University of Education, Lahore, 54000, Pakistan; Corresponding author.Department of Information Sciences, Division of Science and Technology, University of Education, Lahore, 54000, PakistanSchool of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan; Department of Computer Science and Information Technology, School Education Department, Government of Punjab, Layyah, 31200, Pakistan; Corresponding author. School of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan.Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, 57000, PakistanSoftware Engineering, Al Ain University Al Ain University Abu Dhabi, United Arab EmiratesFaculty of Engineering, University of de Moncton, Moncton, NB, E1A3E9, Canada; School of Electrical Engineering, University of Johannesburg, Johannesburg, 2006, South Africa; International Institute of Technology and Management (IITG), Av. Grandes Ecoles, Libreville, BP 1989, Gabon; Bridges for Academic Excellence - Spectrum, Tunis, TunisiaThis study aims to address the urban vehicle parking issues by proposing a solution using Automatic Number Plate Recognition (ANPR) through image processing and a sensor-based hardware system. Integrating these technologies forms a Smart Parking Management System (SPMS) to automate parking processes and enhance the parking experience. The study aims to create an efficient system that eliminates manual vehicle registration and optimizes space utilization. ANPR and IoT-based sensors help users identify the available slots and pay only for the actual parking duration, which will help to minimize the fixed billing rates. The proposed ANPR system processes vehicle number plates at entry, ensuring seamless identification and eliminating manual registration. IoT sensors monitor real-time slot occupancy, transmitting data to a web admin panel. This panel provides insights such as entry and exit times, total parking duration, and billing costs, facilitating efficient management and remote monitoring. The ANPR-based SPMS reduces reliance on manual processes, streamlining entry procedures. By dynamically assessing slot availability through IoT sensors, users can locate unoccupied spaces quickly, which enhances user convenience. The web admin panel allows administrators to monitor the system remotely, ensuring smooth operations and maintaining accurate records. This study introduces a comprehensive solution to urban parking challenges by integrating ANPR and IoT technologies. The SPMS improves efficiency, reduces human resource needs, and enhances user experience with flexible billing based on actual duration. The combination of hardware and software provides a foundation for effective urban parking management.http://www.sciencedirect.com/science/article/pii/S2665917424003854Automatic Number Plate Recognition (ANPR)Parking Management System (PMS)Internet of Things (IoT) |
| spellingShingle | Allah Ditta Muhammad Maroof Ahmed Tehseen Mazhar Tariq Shahzad Yazan Alahmed Habib Hamam Number plate recognition smart parking management system using IoT Measurement: Sensors Automatic Number Plate Recognition (ANPR) Parking Management System (PMS) Internet of Things (IoT) |
| title | Number plate recognition smart parking management system using IoT |
| title_full | Number plate recognition smart parking management system using IoT |
| title_fullStr | Number plate recognition smart parking management system using IoT |
| title_full_unstemmed | Number plate recognition smart parking management system using IoT |
| title_short | Number plate recognition smart parking management system using IoT |
| title_sort | number plate recognition smart parking management system using iot |
| topic | Automatic Number Plate Recognition (ANPR) Parking Management System (PMS) Internet of Things (IoT) |
| url | http://www.sciencedirect.com/science/article/pii/S2665917424003854 |
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