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Face Detection Application" is a Java-based program leveraging the OpenCV library to perform real-time face detection from webcam streams. With features including live video feed processing, bounding box visualization around detected faces, and face labeling, it offers a straightforward yet powerful tool for facial recognition tasks.

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Face Detection Application

This is a Java application for real-time face detection using OpenCV.

Table of Contents

Introduction

This application utilizes the OpenCV library to detect faces in real-time video streams captured from a webcam. It draws bounding boxes around detected faces and labels them.

Features

  • Real-time face detection
  • Drawing bounding boxes around detected faces
  • Labeling detected faces in the video feed

Installation

  1. Clone this repository to your local machine: git clone https://github.com/MaverickWingman/FaceDetection.git

  2. Make sure you have OpenCV installed on your machine. You can download OpenCV from OpenCV website.

Usage

  1. Compile the Java code using your preferred Java compiler.
  2. Run the compiled Java application.
  3. Ensure that your webcam is connected and accessible.
  4. The application will open a window displaying the live video feed from your webcam with detected faces highlighted.

Dependencies

  • OpenCV: This application requires the OpenCV library for face detection and image processing tasks.

Contributing

Contributions are welcome! If you find any bugs or have suggestions for improvements, feel free to open an issue or submit a pull request.

License

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

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Face Detection Application" is a Java-based program leveraging the OpenCV library to perform real-time face detection from webcam streams. With features including live video feed processing, bounding box visualization around detected faces, and face labeling, it offers a straightforward yet powerful tool for facial recognition tasks.

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