Skip to content

About

Developed a real-time face detection system using Python and OpenCV. Used Haar Cascade to detect faces from webcam input and enabled manual image capture via key press. Designed a user-driven dataset creation process for ML and CV applications.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Latest commit

 

History

4 Commits

Folders and files

Repository files navigation

Real-Time Face Capture using OpenCV

This project implements a real-time face detection system using Python and OpenCV. It allows users to manually capture and save face images from a webcam feed by pressing a key. Face detection is powered by Haar Cascade classifiers.

💡 Features

  • Live face detection using webcam
  • Manual image capture (press y to save)
  • Saves cropped and resized face images
  • Organized output in a local folder
  • Simple and beginner-friendly code structure

📌 Requirements

  • Python 3.x
  • OpenCV
  • (Optional) NumPy, OS module (comes with Python)

📸 How It Works

  1. Launch the script
  2. Enter your name
  3. Your webcam opens and detects your face
  4. Press y to save the current detected face
  5. Press q to quit

Connect with me : LinkedIn - https://www.linkedin.com/in/urvashi-shasne-911007264/

🙋‍♀️ Author Made with ❤️ by Urvashi Shasne

About

Developed a real-time face detection system using Python and OpenCV. Used Haar Cascade to detect faces from webcam input and enabled manual image capture via key press. Designed a user-driven dataset creation process for ML and CV applications.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages