Investigation into IoT‐Based Smart Vehicle License Plate Recognition for Campus Parking in Wukari LGA, Taraba State
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- NGN 5000
Background of the study:
Efficient campus parking management is a critical issue for academic institutions, and manual methods for vehicle entry and exit are often prone to errors and delays. In Wukari LGA, Taraba State, university campuses face congestion and security challenges related to unauthorized parking and inefficient record‐keeping. IoT‐based smart vehicle license plate recognition (LPR) systems offer an innovative solution by automating vehicle identification and monitoring processes. These systems employ high‐resolution cameras, optical character recognition (OCR) algorithms, and wireless data transmission to capture and process license plate information in real time (Ibrahim, 2023). The integration of such systems into campus parking management can streamline access control, reduce waiting times at entry points, and improve overall security by maintaining accurate records of vehicle movements (Adeniyi, 2024). In addition, real‐time data analytics provide insights into parking patterns and help optimize resource allocation and enforcement of parking regulations. The automated system minimizes human intervention, reduces the risk of fraud, and enhances the overall operational efficiency of campus parking facilities (Udo, 2025). As campuses expand and the demand for parking increases, adopting IoT‐based LPR systems becomes essential for maintaining an orderly and secure environment, ultimately improving the user experience and ensuring compliance with institutional policies.
Statement of the problem:
University campuses in Wukari LGA are challenged by inefficient parking management due to manual vehicle identification and record‐keeping methods. These traditional systems often lead to unauthorized parking, long queues at entry points, and difficulties in tracking vehicle movements, thereby compromising security and operational efficiency (Ibrahim, 2023). The absence of an automated system results in inconsistent data collection and delayed responses to parking violations, creating frustration among staff and students. Inadequate enforcement of parking regulations further exacerbates congestion and safety concerns. Financial and technical constraints limit the implementation of advanced monitoring solutions, leaving the campus vulnerable to inefficiencies and potential security breaches (Adeniyi, 2024). Without a robust IoT‐based vehicle license plate recognition system, the management of campus parking remains fragmented and ineffective, affecting overall campus operations and user satisfaction. Therefore, there is an urgent need to adopt an automated, real‐time solution that enhances the accuracy and efficiency of parking management, reduces unauthorized access, and streamlines the enforcement of parking policies (Udo, 2025).
Objectives of the study:
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To design and implement an IoT‐based vehicle license plate recognition system for campus parking.
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To evaluate the system’s effectiveness in streamlining parking access and enhancing security.
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To propose strategies for integrating the system with existing campus parking management frameworks.
Research questions:
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How effective is the IoT‐based LPR system in capturing and processing license plate data in real time?
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What improvements in parking efficiency and security are observed following system implementation?
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How can the system be integrated with current campus parking management practices?
Significance of the study:
This study is significant as it provides an automated solution to campus parking challenges, enhancing security and operational efficiency. The IoT‐based LPR system reduces unauthorized parking, shortens waiting times, and improves data accuracy, contributing to a safer and more organized campus environment.
Scope and limitations of the study:
This study is limited to the investigation and evaluation of an IoT‐based smart vehicle license plate recognition system for campus parking in Wukari LGA, Taraba State. It does not extend to other parking systems or regions.
Definitions of terms:
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IoT (Internet of Things): A network of interconnected devices that exchange real‐time data.
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License Plate Recognition (LPR): Technology that uses cameras and OCR to automatically identify vehicle registration plates.
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Campus Parking Management: The administration of vehicle access and parking facilities within a university environment.
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