Face Detection and Blurring with OpenCV

This project demonstrates how to perform face detection and apply a significant blur to detected faces using OpenCV in Python. The application uses a webcam feed to detect faces in real-time and blurs them for privacy.

Prerequisites

• Python 3.x
• OpenCV

Usage

1. Run the Application::

   python main.py
   

2. Functionalities::

• The application captures video from the default webcam.
• It detects faces using a pre-trained Haar cascade classifier.
• Detected faces are blurred using a Gaussian blur with a large kernel size.

3. Controls::

• Press q to quit the application.

TODO

• Add tracking to the faces
• Add prediction filter to the detections
• Do not blur known faces: Implement a method to identify known faces using a facial recognition system and exclude them from blurring.
• Blur out text: Detect and blur text within the video frames, ensuring privacy and preventing information leakage.