Facial recognition using Raspberry Pi and OpenCV

Facial recognition using Raspberry Pi and OpenCV, available at $44.99, has an average rating of 3.85, with 20 lectures, 3 quizzes, based on 95 reviews, and has 718 subscribers.

You will learn about Learn how to program using Python and OpenCV to detect the human faces present in an image Get to know how to take multiple snapshots by programming your webcam and passing the number as arguments Learn how to code using Python program to detect faces as well as eyes in an image Learn how to build an image puzzle and search a small section of an image in the entire photo This course is ideal for individuals who are Anyone who wants to build a project on Digital Image Processing using OpenCV or The course is for anyone who is interested in exploring software projects using Raspberry Pi or Tech enthusiasts who wants to explore facial recognition using the mini computer Raspberry Pi It is particularly useful for Anyone who wants to build a project on Digital Image Processing using OpenCV or The course is for anyone who is interested in exploring software projects using Raspberry Pi or Tech enthusiasts who wants to explore facial recognition using the mini computer Raspberry Pi.

Enroll now: Facial recognition using Raspberry Pi and OpenCV

Summary

Title: Facial recognition using Raspberry Pi and OpenCV

Price: $44.99

Average Rating: 3.85

Number of Lectures: 20

Number of Quizzes: 3

Number of Published Lectures: 20

Number of Published Quizzes: 3

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to program using Python and OpenCV to detect the human faces present in an image
Get to know how to take multiple snapshots by programming your webcam and passing the number as arguments
Learn how to code using Python program to detect faces as well as eyes in an image
Learn how to build an image puzzle and search a small section of an image in the entire photo

Who Should Attend

Anyone who wants to build a project on Digital Image Processing using OpenCV
The course is for anyone who is interested in exploring software projects using Raspberry Pi
Tech enthusiasts who wants to explore facial recognition using the mini computer Raspberry Pi

Target Audiences

Anyone who wants to build a project on Digital Image Processing using OpenCV
The course is for anyone who is interested in exploring software projects using Raspberry Pi
Tech enthusiasts who wants to explore facial recognition using the mini computer Raspberry Pi

This course is for anyone who is interested in exploring Digital Image Processing�using Raspberry Pi and OpenCV. The course requires basic knowledge of Python programming and Linux commands and obviously your interest in programming.

In this course, we are going to use OpenCV libraries to explore facial recognition feature. OpenCV is an open source C++ library for image processing and computer vision, originally developed by Intel and now supported by Willow Garage.

It is free for both commercial and non-commercial use. Therefore it is not mandatory for your OpenCV applications to be open or free.

It is a library of many inbuilt functions mainly aimed at real-time image processing. I am going to teach you how to track faces in the image you have captured using Webcam or any other device. We will also locate and count the faces present in the image.

In the next project, I will teach you how to program in Python and OpenCV to detect and highlight the eyes of the persons along with the face present in the picture.�

Going forward, I will also cover the machine learning based project in which I will create Image puzzle using python programming and OpenCV. This will be a picture-based puzzle where you can search a small section of the image inside a bigger image.

I will guide you step by step how to go about building these projects. I will also share the source code with you so that you can replicate the project by yourself.

Course Curriculum

Chapter 1: Introduction

Lecture 1: What will you learn from this course?

Lecture 2: Hardware and software requirements and webcam test

Chapter 2: Programming the webcam

Lecture 1: Understanding OpenCV

Lecture 2: Installing OpenCV libraries

Lecture 3: OpenCV step by step Installation Process

Lecture 4: Updated installation process

Lecture 5: Webcam interface with Raspberry Pi

Lecture 6: Capturing user defined images

Lecture 7: Source Code – Webcam Programming (shell Script)

Lecture 8: Source Code – Webcam Programming (Python file)

Lecture 9: Real time demonstration – Multiple snapshot

Chapter 3: Detecting human faces

Lecture 1: Face detection using OpenCV

Lecture 2: Source Code – Human face detection

Lecture 3: Real time demonstration – Human face detection

Chapter 4: Face and eye detection

Lecture 1: Face and Eye Detection

Lecture 2: Source code – Face and Eye detection

Lecture 3: Real time demonstration – Face and eye detection

Chapter 5: Image Puzzle

Lecture 1: Image Puzzle – Concept and Programming

Lecture 2: Source Code – Image Puzzle

Lecture 3: Real time demonstration – Image Puzzle

Instructors

Venkatesh Varadachari
Founder, MAKERDEMY
Satyajeet Sah
Senior Product Engineer – Technology

Rating Distribution

1 stars: 15 votes
2 stars: 7 votes
3 stars: 17 votes
4 stars: 25 votes
5 stars: 31 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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