ML License Plate Vision

Overview

ML License Plate Vision is a Python-based solution for detecting and reading license plates in images. It utilizes advanced machine learning techniques and OCR (Optical Character Recognition) to accurately identify and extract license plate information from a given image.

How it works

The whole process consist of three steps:

recognizing the license plate in the image
cropping the image to the license plate area, enhancing the image in order to be more readable for OCR
reading the license plate from the cropped image with the OCR mechanisms

The demo implementation uses two ways of reading license plates:

Tesseract OCR
Microsoft/TrOCR

Installation

To use ML License Plate Vision, you need to have Python installed on your system. Clone the repository and install the required dependencies:

$ git clone https://github.com/Modevntalking-com/ml-license-plate-vision.git
$ cd ml-license-plate-vision
$ pip install -r requirements.txt

Usage

To detect and read license plates in an image, run the detect.py script with the image URL as an argument:

$ python ./detect.py -i [IMAGE_URL]

For example:

$ python ./detect.py -i https://modevntalking.pl/wp-content/uploads/2023/11/IMG_5513-scaled.jpeg

Example Output Running the above command will produce the following output:

detecting license plate from image: https://modevntalking.pl/wp-content/uploads/2023/11/IMG_5513-scaled.jpeg
license plate trocr: GA 250HW
license plate tesseract: GA250HW

based on the photo of a car:

Which will be processed - the license plate will be detected, cropped, enhanced and used:

Summary

The blog post about this project is available at https://modevntalking.com/2023/11/23/ai-ml-vision-license-plate-recognition/.