Facial recognition using Raspberry Pi and OpenCV

Name: Facial recognition using Raspberry Pi and OpenCV
Rating: 3.9 (99 reviews)

Learn how to detect the human faces and eyes in any image and build your own image puzzle using Python

Created byVenkatesh Varadachari, Satyajeet Sah

Last updated 7/2017

English

What you'll 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

Course content

5 sections • 20 lectures • 45m total length

What will you learn from this course?2:35
This lecture describes the overview of the complete course
Hardware and software requirements and webcam test3:29
This lecture describes the complete hardware and software requirements for all the projects and how to install the fswebcam package using the Linux command

Understanding OpenCV2:35
At the end of the lecture you will learn the concept and working principle of OpenCV libraries and how it is useful in face tracking and template matching
Installing OpenCV libraries10:32
At the end of the lecture you will learn how to install all the required OpenCV libraries via Linux terminal to program for face detection
OpenCV step by step Installation Process0:02
This document describe the step by step installation process of OpenCV libraries using Linux Terminal
Updated installation process1:46
Webcam interface with Raspberry Pi
This lecture describes how to interface the USB webcam to Raspberry Pi
Capturing user defined images2:31
At the end of the lecture you will learn how to program your webcam and take multiples snapshot using python programming by passing user defined numbers as arguments
Source Code - Webcam Programming (shell Script)0:06
This lecture contains the shell script source code to program the webcam
Source Code - Webcam Programming (Python file)0:07
The lecture contains the source code in Python format to program the webcam
Digital Image Processing
Real time demonstration - Multiple snapshot1:10
This lecture demonstrates the output of the project, End users are free to pass any number as arguments while executing the program

Face detection using OpenCV2:11
This lecture demonstrates how to code in Python programming to highlight the face present in the picture
Source Code - Human face detection0:17
This lecture contains the error free source code of human face detection using Python programming and OpenCV
Real time demonstration - Human face detection2:16
This lecture shows the project output of the human face detection program

Face and Eye Detection5:27
This lecture demonstrates how to highlight the human face along with the eyes in the entire image
Source code - Face and Eye detection0:21
The lecture contains the source code of the human face and eye detection programmed in Python
Real time demonstration - Face and eye detection2:03
This lecture demonstrates the output of the face and eye detection programmed using OpenCV and Python
Digital Image Processing II

Image Puzzle - Concept and Programming3:33
This lecture demonstrates the concept of machine learning and searching a small section of the image inside the bigger image
Source Code - Image Puzzle0:36
This lecture contains the complete source code of the image puzzle project
Real time demonstration - Image Puzzle3:57
This lecture demonstrate how the program is capable of searching a small section of the image in a large image
Python Programming

Requirements

Basic knowledge of Python and Linux commands
Raspberry Pi (any model)

Description

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.

Who this course is for:

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

Facial recognition using Raspberry Pi and OpenCV

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 6min

Programming the webcam9 lectures • 19min

Detecting human faces3 lectures • 5min

Face and eye detection3 lectures • 8min

Image Puzzle3 lectures • 8min

Requirements

Description

Who this course is for: