Cypher-Cam is a Python GUI application designed for surveillance using a webcam or surveillance camera. It includes features such as motion detection, noise detection, in/out tracking, and recording functionalities. The application has a user-friendly interface and supports a dark mode for better visibility in low-light conditions.

• Anti-theft alarming system
• Face and motion detection
• Visitor recognition
• Video surveillance
• Dark mode toggle for the GUI

• Programming Language: Python
• Algorithms: LBPH and Haar-based algorithms
• Python Packages: OpenCV, Skimage, Numpy, Tkinter, simpleaudio

• Industrial warehouses
• Banking systems
• Jewelry shops
• Any setting requiring enhanced surveillance

1. Clone the repository:

   git clone https://github.com/drahulsingh/Cypher-Cam.git
   cd Cypher-Cam

2. Install the required packages:

   pip install opencv-python-headless numpy scikit-image simpleaudio

• To run the application, execute the following command:

python main.py

The application includes a dark mode feature that can be toggled using the button at the top-right corner of the main window. When dark mode is activated, the UI colors switch to a darker theme, and the toggle button text changes to "Light Mode". Deactivating dark mode reverts to the light theme, and the button text changes back to "Dark Mode".

This project was made possible thanks to the following resources and contributions:

• OpenCV for image processing and motion detection.
• NumPy for numerical operations.
• Scikit-Image for advanced image processing techniques.
• Tkinter for the graphical user interface.
• Haar Cascade for face detection.
• LBPH (Local Binary Patterns Histograms) algorithm for face recognition.
• SimpleAudio for audio handling.
• The contributors and maintainers of the Python libraries used in this project.
• Special thanks to the open-source community for providing tools and frameworks that facilitated the development of Cypher-Cam.

• find_motion.py: Handles motion detection.
• haarcascade_frontalface_default.xml: XML file for Haar Cascade face detection.
• identify.py: Implements the main functionality for identification.
• in_out.py: Manages in/out tracking.
• just_for_test.py: Contains test functions.
• main.py: Main application script.
• mn.png: Application icon.
• model.yml: YAML file for model configuration.
• motion.py: Handles noise detection.
• record.py: Manages recording functionality.
• rect_noise.py: Handles rectangular noise detection.
• spot_diff.py: Spot difference functionality.

• Feel free to contribute to this project by opening issues or submitting pull requests.

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

For any inquiries or issues, please contact drahulsingh.

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