Abstract
Swift Tag presents a novel approach to toll collection, leveraging Automated Number Plate Recognition (ANPR), Optical Character Recognition (OCR), and modern frontend/backend technologies to streamline operations, enhance accuracy, and improve user experience. By automating the identification and processing of vehicles at toll booths, Swift Tag eliminates manual intervention, reduces congestion, and minimizes errors. Utilizing YOLOv8 for object detection and EasyOCR for character recognition, Swift Tag ensures real-time capture and extraction of license plate information with remarkable precision. Complemented by a comprehensive frontend interface developed using React and JavaScript, and a robust backend infrastructure for seamless integration with existing toll management systems, Swift Tag offers a scalable, cost-effective, and universally applicable solution to toll collection challenges
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