This is a comprehensive project based on artificial intelligence and computer vision techniques for detecting Egyptian license plates and automatically extracting text from them. The system was developed using the YOLOv8 model for detecting license plates in images and the PaddleOCR library for high-accuracy character and number recognition
Key features of the project
Automatic detection of Egyptian license plates in images and video clips
Extraction of text and numbers from plates using advanced OCR techniques
Training the model on a custom dataset to achieve high accuracy in real-world environments
Evaluating model performance and improving it to ensure reliable results
A practical application of Deep Learning and Computer Vision concepts
Technologies used
Python
YOLOv8
PaddleOCR
OpenCV
Machine Learning
Deep Learning
This project was carried out as part of the Machine Learning for Data Analysis program offered by the National Telecommunication Institute (NTI). It helped strengthen my practical experience in artificial intelligence, image analysis, and data processing
