Overview What You Will Learn Curriculum Instructor

Course Overview

Face recognition has rapidly grown into one of the most influential applications of computer vision, transforming sectors from security and surveillance to healthcare and entertainment. This course offers a hands-on introduction to face recognition using Python, equipping learners with practical skills to build intelligent systems that can detect, analyze, and recognize faces in real time. With the increasing importance of biometric authentication, learning these tools is essential for anyone looking to explore artificial intelligence or enhance their machine learning projects.

This course begins with an introduction to face recognition and walks learners through setting up the development environment using Anaconda, resolving DLib-related setup issues, and reviewing Python basics such as functions, data structures, and flow control. It then dives into facial detection and recognition, covering implementation from images, videos, and live webcam feeds. Learners will explore real-time facial expression detection, age and gender prediction, and advanced topics like face landmarks, distance metrics, and facial makeup simulations—all through intuitive and structured hands-on examples.

By the end, learners will confidently implement face recognition and analysis applications in Python using OpenCV, DLib, and deep learning, with real-time and image-based solutions ready for integration.

What You Will Learn

  • You'll learn about Face Detection from Image
  • You'll learn about Face Detection from Realtime Videos
  • You'll learn about Emotion Detection
  • You'll learn about Age-Gender Prediction
  • You'll learn about Face Distance
  • You'll learn about Face Landmarks Manipulation
  • You'll learn about Face Makeup
  • Basics of Python

Program Curriculum

  • Introduction to Face Recognition
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Environment Setup: Installing Anaconda Package
  • Chapter 2 Quiz

  • Python Basics - Assignment
  • Python Basics - Flow Control
  • Python Basics - Data Structures
  • Python Basics – Functions
  • Chapter 3 Quiz

  • Setting up Environment - Additional Dependencies - Part 1
  • Setting up Environment - Additional Dependencies (With DLib Fixes) - Part 2
  • Chapter 4 Quiz

  • (Optional) DLib Error: Downgrading Python and Fixing
  • Chapter 5 Quiz

  • Introduction to Face Detectors
  • Chapter 6 Quiz

  • Face Detection Implementation - Part 1
  • Face Detection Implementation - Part 2
  • Chapter 7 Quiz

  • cv2.imshow() Not Responding Issue Fix
  • Chapter 8 Quiz

  • Realtime Face Detection - Part 1
  • Realtime Face Detection - Part 2
  • Chapter 9 Quiz

  • Video Face Detection
  • Chapter 10 Quiz

  • Real-time Face Detection - Face Blurring
  • Chapter 11 Quiz

  • Real-time Facial Expression Detection - Installing Libraries
  • Chapter 12 Quiz

  • Real-time Facial Expression Detection - Implementation - Part 1
  • Real-time Facial Expression Detection - Implementation - Part 1
  • Chapter 13 Quiz

  • Video Facial Expression Detection
  • Chapter 14 Quiz

  • Image Facial Expression Detection
  • Chapter 15 Quiz

  • Real-time Age and Gender Detection Introduction
  • Chapter 16 Quiz

  • Real-time Age and Gender Detection Implementation
  • Chapter 17 Quiz

  • Image Age and Gender Detection Implementation
  • Chapter 18 Quiz

  • Introduction to Face Recognition
  • Chapter 19 Quiz

  • Face Recognition Implementation - Part 1
  • Face Recognition Implementation - Part 2
  • Chapter 20 Quiz

  • Real-time Face Recognition - Part 1
  • Real-time Face Recognition - Part 2
  • Chapter 21 Quiz

  • Video Face Recognition
  • Chapter 22 Quiz

  • Face Distance - Part 1
  • Face Distance - Part 2
  • Chapter 23 Quiz

  • Face Landmarks Visualization - Part 1
  • Face Landmarks Visualization - Part 2
  • Chapter 24 Quiz

  • Multi Face Landmarks
  • Chapter 25 Quiz

  • Multi Face Landmarks from Real-time and Pre-saved Video
  • Chapter 26 Quiz

  • Face Makeup Using Face Landmarks
  • Chapter 27 Quiz

  • Real-time Face Makeup
  • Chapter 28 Quiz
Load more modules

Instructor

Abhilash Nelson

Abhilash Nelson is a pioneering, talented and security-oriented Android/iOS Mobile and PHP/Python Web Developer Application Developer offering more than eight years’ overall IT experience which involves designing, implementing, integrating, testing and supporting impact-full web and mobile applications. He is a Postgraduate Master's Degree holder in Computer Science and Engineering and is currently serving full time as a Senior Solution Architect managing my client's projects from start to finish to ensure high quality, innovative and functional design.

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