Overview:
This project focuses on detecting vehicle license plates and recognizing them using Optical Character Recognition (OCR). The system uses the YOLOv8l model for real-time license plate detection and extracts the plate’s information from images. The goal is to convert the detected plate into readable text, which is then displayed in a video feed.
Key Features:
1. YOLOv8 for License Plate Detection:
The system uses the YOLOv8l model for high-speed and accurate detection of license plates from video feeds. This ensures real-time identification of vehicles’ plates as they move through the camera’s field of view.
2. Optical Character Recognition (OCR):
After detecting the license plate, the OCR engine converts the image of the plate into readable text. This feature enables automatic extraction of license plate information.
3. Real-Time Display:
The recognized license plate text is displayed in the video feed, offering an immediate view of the detected vehicle information.
4. Efficient Processing:
The system optimizes performance, ensuring minimal delay during video processing and text extraction, making it suitable for real-time traffic monitoring and law enforcement applications.
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