International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Swift Tag: Advancing Toll Collection Through Automated Number Plate Recognition and OCR Technologies

Author(s) Hemant Modi, Tanisha Ambastha, Ashutosh Prabhudesai, Nandhika Jhansi, Dr. Yokesh Babu S
Country India
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
Keywords ANPR(Automatic Number Plate Recognition), OCR(Optical character recognition)
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-23
Cite This Swift Tag: Advancing Toll Collection Through Automated Number Plate Recognition and OCR Technologies - Hemant Modi, Tanisha Ambastha, Ashutosh Prabhudesai, Nandhika Jhansi, Dr. Yokesh Babu S - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20991
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20991
Short DOI https://doi.org/gtwmq5
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