🚗 Number Plate Detection System

This project detects UK number plates from images or videos using YOLOv8 and EasyOCR, and displays vehicle details using a public API in a simple Streamlit web interface.

Technologies Used

• YOLOv8 (Ultralytics)
• EasyOCR
• OpenCV
• Streamlit (for UI)
• SQLite & CSV/Excel Export

Features

• 📸 Image and Video Input – Upload from browser UI
• 🅿️ Automatic Plate Detection – Detects and crops plates using YOLOv8
• 🔡 OCR for Plate Text – EasyOCR reads plate numbers
• 🌍 Vehicle Info Lookup – Integration with a public vehicle data API
• 📂 Export Results – Outputs CSV, Excel, cropped images, and annotated frames
• 💡 Simple Web Interface – Built with Streamlit for ease of use
• 🧹 Validates UK Format – Filters out invalid or foreign plates
• 🗂️ Database Storage – Records results in SQLite

How to Run

1. Install Dependencies

Make sure you have Python installed, then run:

pip install streamlit opencv-python ultralytics easyocr pandas numpy requests

2. Run the Streamlit App

Start the application with:

streamlit run app.py

Once started, it will open in your browser at:

http://localhost:

Output Includes:

• Cropped number plate images

• Annotated image frames

• Extracted plate numbers

• Vehicle information:

  Make, Model, Year, Region

• Data export to:

• CSV file

• Excel file

• SQLite database