Face Detection

Introduction

Face detection is a computer technology that allows us to do the following:

• Localize faces within a digital image.
• Identify key facial features of the particular faces and get their respective coordinates.
• Diagnose the contours of detected faces.

Face detection is generally thought of as the point of departure toward other face-related technologies like face recognition or faceprint generation.

Important applications of face detection

A growing number of applications leverage the capabilities of this technology, including the following:

• Crowd surveillance monitors crowded public or private areas or count the number of people who entered a specific zone.

• Photography automatically focuses and optimizes exposure in digital cameras.

• Attendance manages people’s attendance with solutions that are combined with biometric detection for managing access.

• Marketing analyzes the customer behavior or triggers targeted advertising—for example, displaying specific advertisements when a face of a specific gender is spotted.

• Motion capture stores the facial movements of a certain person in a digital database and then produces vivid computer animations for movies, games, or avatars based on the stored data.

• Privacy enhancement by facilitating blurring or anonymizing the faces detected in a frame that makes sharing footage safer and more secure.

Objective

Throughout this lesson, we’ll discover how to implement a face detection system in the Python programming language using the forefront MediaPipe library.