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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45329
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â 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.
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Publication Date
3/16/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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