Advanced CCTV Live Feed Application

Overview

This project is an advanced CCTV live feed application built with Flask and OpenCV. It offers real-time video streaming with multi-camera support and live filter application, demonstrating the integration of web technologies with computer vision.

Features

• Real-time video streaming
• Support for multiple cameras
• Live filter application (Normal, Grayscale, Edge Detection)
• Responsive design for various devices
• User-friendly interface with real-time controls

Technologies Used

• Backend: Python, Flask
• Computer Vision: OpenCV
• Frontend: HTML5, CSS3, JavaScript

Installation

1. Clone the repository:
2. Certainly! Here's a professional README.md file for your GitHub repository: markdownCopy# Advanced CCTV Live Feed Application

Overview

This project is an advanced CCTV live feed application built with Flask and OpenCV. It offers real-time video streaming with multi-camera support and live filter application, demonstrating the integration of web technologies with computer vision.

Features

• Real-time video streaming
• Support for multiple cameras
• Live filter application (Normal, Grayscale, Edge Detection)
• Responsive design for various devices
• User-friendly interface with real-time controls

Technologies Used

• Backend: Python, Flask
• Computer Vision: OpenCV
• Frontend: HTML5, CSS3, JavaScript

Installation

1. Clone the repository: git clone https://github.com/yourusername/advanced-cctv-live-feed.git cd advanced-cctv-live-feed

2. Create and activate a virtual environment: python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate

3. Install the required packages: pip install -r requirements.txt

Usage

1. Run the Flask application: python app.py

2. Open a web browser and navigate to http://localhost:5000

3. Use the on-screen controls to switch between cameras and apply filters.

Project Structure

advanced-cctv-live-feed/ │ ├── app.py # Main Flask application ├── templates/ │ └── index.html # HTML template for the web interface ├── static/ │ └── styles.css # CSS styles (if separated from HTML) ├── requirements.txt # Python dependencies └── README.md # Project documentation

API Endpoints

• /: Main page
• /video_feed: Streaming video feed
• /switch_camera/<int:camera_id>: Switch between cameras
• /set_filter/<filter_name>: Apply a specific filter

Contributing

Contributions to this project are welcome! Please fork the repository and submit a pull request with your changes.

License

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

Contact

Your Name : engrmumtazali01@gmail.com Phone#: 03476338292

Project Link: [https://github.com/yourusername/advanced-cctv-live-feed](https://github.com/yourusername/advanced-cctv-live-feed)

Acknowledgments

• OpenCV community
• Flask documentation
• Any other resources or inspirations To use this README:

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