Real-Time Face Detection and Blurring Using OpenCV

The ability to detect and process human faces in real-time video streams has numerous applications, from privacy protection to video analytics. In this tutorial, we will explore how to use OpenCV, an open-source library for computer vision, to achieve real-time face detection and blurring in a live video stream.

What is OpenCV?

OpenCV is a powerful and versatile library designed for image processing and computer vision tasks. It offers a wide range of functionalities, including object detection, feature recognition, and facial analysis, making it an excellent tool for various applications.

Installing OpenCV:

To get started, ensure you have Python installed on your system. Open a Command Prompt and use the following command to install the Python OpenCV library:

How to install opencv on your system?

Firstly, open the Command prompt and install the python opencv library using given below command

pip install opencv-python

and we will also need of Haar cascade classifier file to detect the face of the video. Now we will read about the Haar cascade classifier.

What is the Haar Cascade Classifier?

Haar Cascade Classifier is an Object Detection Algorithm used to identify faces in an image or a real-time video. It employs a machine learning approach for visual object detection which is able to process…