Automatic Number Plate Recognition

Automatic Number Plate Recognition

Mr. Anup D. Sonawane

Mr. Piyush Sonawane , Mr. Kalpesh Wagh , Mr. Tushar Aher

Mr. Anup D. Sonawane, HOD, Computer Engineering, Mahavir Polytechnic, Nashik

Mr. Piyush Sonawane, Computer Department & Mahavir Polytechnic, Nashik

Mr. Kalpesh Wagh, Computer Department & Mahavir Polytechnic, Nashik

Mr. Tushar Aher, Computer Department & Mahavir Polytechnic, Nashik

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Abstract - The Automatic Number Plate Recognition (ANPR) system is designed to detect and recognize vehicle number plates efficiently. Using a custom-trained YOLOv8 model, the system accurately detects number plates in various conditions, including low-light and partially obscured environments. For character recognition, the project leverages PaddleOCR, ensuring precise text extraction even in blurred or challenging scenarios. The system operates independently without requiring requests to external websites, making it more efficient and secure. Detected data such as number plate characters, date, and time are stored in a MySQL database for easy access and management.

Key Words: ANPR, vehicle, Plate detection, Accuracy, MySQL, YOLOv8, AI, OCR, Image Processing, Computer Vision, Advanced, Number-plate Recognition, Camera