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Face Detection with OpenCV in Python

Learn Face Detection with OpenCV in Python from basics in this free online training. This free course is taught hands-on by experts. Learn about Face Detection & its Applications. Best for Beginners. Start Now!

4.47

Intermediate

3.0 Hrs

17.2K+

Ratings

Level

Learning hours

Learners

Skills you’ll Learn

Face Detection

Face Recognition

Applications of Face Recognition

Face Detection using OpenCV using Python

About this course

OpenCV-Python is a Python library specially designed for solving computer vision problems. With the increase in face detection and recognition systems usage, you must be aware of the trends and learn about these domains theoretically and practically. This free Face Detection with OpenCV in Python course will help you gain an ample amount of theoretical and empirical knowledge, which will help you better understand the concept of computer vision . Several highly appreciated universities worldwide have partnered with Great Learning and designed various Degree and Postgraduate programs. Enroll in the Best Artificial Intelligence and Machine Learning Courses that provide learners with standard education from highly experienced faculties. Our primary goal is to guide learners to successful AIML professionals.

Course Outline

Introduction to Face Detection and Recognition

Applications of Face Recognition

This chapter focuses on numerous applications of face recognition in different sectors such as security checking, attendance system, forensic investigations, and validations. Further, you will understand other face recognition applications like face detection in ATMs, traveling by plane, and finding missing people.

Face Recognition using Deep Learning

In this module, you will be familiarized with the term Deep Learning used for face recognition. Moving ahead, you will understand the steps of implementing face recognition using deep learning. Lastly, the tutor will present some examples of real-life based scenarios to help you understand better.

Introduction to OpenCV

This chapter will get you introduced to OpenCV and its application with the help of an example. Next, you will understand how Machine Learning algorithms are applied to OpenCV. Later, you will get to know the steps of using OpenCV. Lastly, the tutor will brief you on some important key concepts of OpenCV.

Face Detection with OpenCV using Python

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

Can OpenCV do facial recognition?

OpenCV is the best library for facial recognition, and it is utilized explicitly for image and video processing and analysis. Hence, through OpenCV, you will implement facial recognition a lot better.

How do you create a face detection program in Python?

The first step is to import all the required libraries like OpenCV into your code.

Initialize the classifiers.

Program the functions in such a way that all the possible use cases are taken care of, and there are proper instructions provided to the webcam to detect the face.

Execute the program to check the working of your code.

What is face recognition in Python?

Face recognition is the process of machine detecting and recognizing the face with the help of the code you have generated. Most developers prefer the Python programming language to implement face recognition as it provides them with all the required libraries that make the task more manageable.