AI-driven UAV system for autonomous vehicle tracking and license plate recognition Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1515/eng-2024-0101
· OA: W4407858092
The integration of Artificial Intelligence (AI) with image processing and autonomous flight capabilities in Unmanned Aerial Vehicles (UAVs) represents a significant advancement in modern surveillance and tracking systems. This research explores a novel method for locating vehicles with pre-identified license plate numbers through an AI-enhanced framework. The proposed system captures vehicle plate details and stores them for subsequent comparison. Autonomous UAVs are deployed within a predefined area to capture high-resolution images of vehicle plates, which are then processed and analysed using advanced AI algorithms designed for optical character recognition and machine learning. Recognized plate numbers are matched against pre-stored entries in real-time. Upon identification of a match, the system accurately determines and displays the vehicle’s location, providing precise geospatial data. This approach demonstrates high precision and efficiency in vehicle tracking, significantly improving upon conventional surveillance techniques, which often rely on manual monitoring and static camera setups. The AI-driven system not only enhances the accuracy of vehicle identification but also reduces the time and human resources required. This study also explores the broader implications and potential applications of this advanced tracking system across various sectors. In law enforcement, it enables real-time tracking of stolen vehicles or suspects. In traffic management, it assists in monitoring and managing vehicle flow and enforcing parking regulations. In security monitoring, it enhances perimeter security by identifying unauthorized vehicles in restricted areas. This research underscores the system’s robustness and adaptability in various practical applications, marking a significant step forward in the field of automated surveillance and vehicle tracking.
