Abstract: The "Verify Plate AI: Smart Vehicle Identification" system utilizes cutting-edge computer vision algorithms to facilitate real-time detection and recognition of license plate numbers. Tailored for implementation in parking areas, toll booths, security checkpoints, and diverse sites, its notable features encompass multi-angle detection, precise recognition of license plate characters via Optical Character Recognition (OCR), and identification of vehicle attributes such as color, type, make, and model. Moreover, the system facilitates instant license lookup from databases and offers a user-friendly cloud-based monitoring dashboard, thereby enhancing overall efficiency in vehicle identification and management. This project signifies a significant leap in automated license plate recognition technology, offering a comprehensive solution for security and surveillance applications.
Keywords: License plate recognition, Computer vision, Optical Character Recognition (OCR), Vehicle attributes identification, Cloud-based monitoring, Security, Surveillance, Automated systems.
Cite:
Dr A Sandeep Kumar, Avuluri Venkata Madhavi, Bhavya Sri Aakuraathi, Koya Hema Satya Sri, Laghumavarapu Komali, "Verify Plate AI: Smart Vehicle Identification", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13309.
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DOI:
10.17148/IJARCCE.2024.13309
