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@article{204946,
        author = {Ms. Sayali Sakharam Alate and Ms Tanuja Shrikant Dhage and Dr.Ganesh Gorakhnath Taware},
        title = {INTELLIGENT PARKING MANAGEMENT SYSTEM USING YOLOv8- BASED LICENSE PLATE RECOGNITION AND AUTOMATED BILLING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4606-4613},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204946},
        abstract = {The rapid growth of vehicle density in urban areas has intensified the demand for intelligent parking management systems. This paper presents a deep learning-based parking automation framework using YOLOv8 for license plate detection and Optical Character Recognition for vehicle identification and billing. The proposed system performs real-time detection, timestamp logging, and automated fee calculation using a centralized database architecture. Experimental validation demonstrates high detection accuracy, reduced latency, and scalability for smart city deployment. The system minimizes human intervention, enhances operational efficiency, and provides real-time monitoring through an integrated graphical interface.},
        keywords = {Automated billing, deep learning, intelligent transportation system, license plate recognition, smart parking, YOLOv8.},
        month = {June},
        }