FaceDetectionApp is a JavaFX desktop application that performs real-time face detection using OpenCV’s Haar Cascade classifier. It provides a user-friendly GUI for capturing video or images and detecting human faces instantly. Ideal for learning, prototyping, or building advanced face recognition systems.

• Real-Time Detection: Detect faces from webcam or video input instantly.
• Intuitive GUI: Built with JavaFX (UI.fxml & UIController.java) for smooth interaction.
• Modular Architecture: Clean code structure with FaceDetector, Main, and UIController.
• Customizable Design: Interface styled via styles.css.
• Extensible: Expandable for face recognition, tracking, or AI applications.

1. Clone the repository:

git clone https://github.com/aadityaguptaaa/FaceDetectionApp.git

2. Open the project in Eclipse IDE.

3. Add OpenCV library to the build path:

   • Download OpenCV: https://opencv.org/releases/
   • Configure native library location in Eclipse

4. Run the project:

   • Execute Main.java as a Java Application
   • GUI window opens to start real-time face detection

1. Launch the application from Eclipse.
2. Click Start Webcam to begin video capture.
3. Detected faces will be highlighted in real-time.

Tip: Adjust Haar Cascade parameters in FaceDetector.java for better accuracy.

We welcome contributions!

1. Fork the repository
2. Create a branch (git checkout -b feature-name)
3. Commit changes (git commit -m "Add feature")
4. Push branch (git push origin feature-name)
5. Open a Pull Request

This project is open-source under the MIT License

• Face recognition using deep learning models
• Export detected faces as images
• Multi-face tracking
• Standalone executable for distribution

Developed by aadityaguptaaa | JavaFX & OpenCV Enthusiast