Number Plate Detection

Computer vision technology for automated vehicle identification

Number Plate Detection Demo

How It Works

  • 1.

    Input image is preprocessed using OpenCV filters

  • 2.

    Region of interest detection with contour analysis

  • 3.

    Character segmentation for improved accuracy

  • 4.

    Optical Character Recognition (OCR) with EasyOCR

  • 5.

    Post-processing to validate and format the detected text

Key Features

  • High accuracy even in variable lighting conditions

  • Works with multiple plate formats and standards

  • Fast processing for real-time applications

  • Orientation correction for angled plates

  • Easily integrates with existing security systems

Technical Details

Technologies Used

  • Python 3.8+
  • OpenCV 4.5.1
  • EasyOCR 1.4
  • PyTorch 1.8
  • NumPy 1.20

System Requirements

  • 4GB RAM minimum
  • GPU recommended for real-time processing
  • CUDA compatible for PyTorch acceleration
  • Camera with minimum 720p resolution