Automatic Number-Plate Recognition

This project was created using Python with OpenCV to detect the number plates and EasyOCR to read the plates

Setup

1. Install OpenCV pip install open-cv python

2. Install CUDA Toolkit from NVIDIA (Optional)
   CUDA Toolkit functions to process EasyOCR in reading text derived from images using the GPU. This can make processes run faster than using the CPU

3. Install Pytorch
   An Example when already have CUDA Toolkit
   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
   
   Installing without CUDA :
   pip install torch torchvision torchaudio

4. Install EasyOCR (https://github.com/JaidedAI/EasyOCR)

How to Use

1. Run plate_capture.py
   Make sure the slot of the device that will be used to take pictures is correct

2. If ROI has detected your plate, press the 's' button
   
   
   
   
   
   
   
   The image will be saved in the plates folder with .jpg format

3. Open PlatesRead.ipynb using your favorite IPython Notebook editor like Jupyter Notebook, Google Colab, etc.

4. EasyOCR will read the plates along with the accuracy obtained