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:

Clone the repository:

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

Install the required dependencies: Make sure you have Python installed on your machine. Then, install the required packages using:
```
pip install -r requirements.txt
```
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

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