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This project implements a Facial Detection System using OpenCV and Python. The system detects faces in images or video streams and can be integrated with additional features such as facial recognition or emotion detection.

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Facial Detection Project

Overview

This project implements a Facial Detection System using OpenCV and Python. The system detects faces in images or video streams and can be integrated with additional features such as facial recognition or emotion detection.

Features

  • Face detection: Detects faces in both static images and live video streams.
  • Real-time processing: Efficiently processes frames from video inputs.
  • Customizable: Easily extendable to include more features like facial recognition or object tracking.

Prerequisites

Make sure you have the following libraries installed:

  • Python 3.x
  • OpenCV
  • NumPy
  • Matplotlib (optional, for visualization)

You can install these dependencies using pip:

pip install opencv-python numpy matplotlib

About

This project implements a Facial Detection System using OpenCV and Python. The system detects faces in images or video streams and can be integrated with additional features such as facial recognition or emotion detection.

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