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Quantification of total cars and available parking spaces within a parking lot by applying basic Image Processing techniques using OpenCV.

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CARSpace: Revolutionizing Parking Management

CARSpace is an innovative solution aimed at revolutionizing parking management by effectively quantifying total cars and available parking spaces within a parking lot. This is achieved through the application of advanced image processing techniques, resulting in a cost-effective sensor solution.


User Interface

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Features

  • Quantification of Parking Spaces: Utilizing Python and libraries such as OpenCV and CVzone, CARSpace accurately quantifies the total number of cars present in a parking lot and determines the availability of parking spaces in real-time.

  • Cost-Effective Solution: By leveraging basic image processing techniques, CARSpace significantly reduces the overall cost of implementing parking sensors compared to traditional methods.

  • User Interface: To enhance usability and streamline the development process, CARSpace incorporates a user-friendly interface created using advanced libraries including CVzone and PyQt5. This allows for easy interaction and seamless integration with existing parking management systems.

Installation

To use CARSpace, follow these steps:

  1. Clone the repository to your local machine:

    git clone https://github.com/your-username/CARSpace.git
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    
  3. Run the application:

    python ui.py
    

Usage

Upon running the application, you will be presented with the CARSpace user interface. Simply follow the on-screen instructions to input the necessary parameters and analyze parking space availability.

Contributing

Contributions to CARSpace are welcome! If you would like to contribute, please follow these guidelines:

  1. Fork the repository.
  2. Create your feature branch (git checkout -b feature/YourFeature).
  3. Commit your changes (git commit -am 'Add some feature').
  4. Push to the branch (git push origin feature/YourFeature).
  5. Create a new Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any inquiries or support regarding CARSpace, feel free to contact us at [email protected].

Thank you for using CARSpace! We hope it helps revolutionize your parking management experience.

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Quantification of total cars and available parking spaces within a parking lot by applying basic Image Processing techniques using OpenCV.

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