Drone Detection Web Application

Welcome to the Drone Detection Web Application! This project aims to provide a user-friendly interface for detecting and monitoring drone activities in a given area. It leverages advanced computer vision techniques to identify drones in real time.

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• Contributing
• License

Features

• Real-time drone detection using computer vision
• User-friendly web interface
• Live monitoring with webcam input
• Easy deployment and setup

Technologies Used

• Python
• Flask (for the web framework)
• OpenCV (for computer vision)
• HTML/CSS/JavaScript (for the front end)

Installation

To set up the project locally, follow these steps:

1. Clone the repository:

 git clone https://github.com/bhavishyasingla1/drone_detection_webapp.git

3. Navigate to the project directory:

 cd drone_detection_webapp

3. Install the required dependencies:

 pip install -r requirements.txt

Usage

To run the application, follow these steps:

1. Start the Flask server:

  python app.py

2. Open your web browser and go to http://127.0.0.1:10000/.

3. Allow access to your webcam when prompted.

   

4. The application will start detecting drones in real time.

   

View Live Interface

You can try the Drone Detection Web Application through this live demo. While the interface is functional, please remember that the drone detection feature is not currently operational.

Contributing

Contributions are welcome! If you want to contribute to this project, please fork the repository and create a new branch. Submit a pull request with a clear description of your changes.

License

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

Acknowledgments

Special thanks to OpenCV for providing powerful computer vision capabilities. Thanks to [Flask] for an excellent web framework.