License Plate Recognition App

This app allows users to upload an image containing a vehicle with a visible license plate. The app then detects license plates in the image using OpenCV and EasyOCR, and provides the detected license plate numbers in a CSV format which can be copied or downloaded in your machine

Demo

Check out the live demo of the application here: Click Here

Installation

To run the app locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/PeroxideParadox/OSDCHACK23-License_Plate_Recognition_Using_OpenCV.git
   cd OSDCHACK23-License_Plate_Recognition_Using_OpenCV

2. Install the required dependencies: Make sure you have Python installed on your machine. Then, install the required packages using:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run main.py

Features

• Upload images in JPG, JPEG, or PNG format.
• Detect license plates in uploaded images.
• Display detected license plate numbers.
• Download the detected license plate numbers in CSV format.
• Suitable for various applications such as automatic registration in societies, malls, and other institutions.

How It Works

1. Image Upload: Users upload an image containing a car license plate.
2. Detection: The app uses OpenCV's Haarcascade algorithm to detect potential regions of license plates in the image.
3. Recognition: EasyOCR reads the text on the detected license plates.
4. Results: Detected license plate numbers are displayed and can be downloaded in CSV format.