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.
This lecture describes the overview of the complete course
This lecture describes the complete hardware and software requirements for all the projects and how to install the fswebcam package using the Linux command
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
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
This document describe the step by step installation process of OpenCV libraries using Linux Terminal
This lecture describes how to interface the USB webcam to Raspberry Pi
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
This lecture contains the shell script source code to program the webcam
The lecture contains the source code in Python format to program the webcam
The Quiz covers all the questions related to Digital Image Processing
This lecture demonstrates the output of the project, End users are free to pass any number as arguments while executing the program
This lecture demonstrates how to code in Python programming to highlight the face present in the picture
This lecture contains the error free source code of human face detection using Python programming and OpenCV
This lecture shows the project output of the human face detection program
This lecture demonstrates how to highlight the human face along with the eyes in the entire image
The lecture contains the source code of the human face and eye detection programmed in Python
This lecture demonstrates the output of the face and eye detection programmed using OpenCV and Python
All questions are related to Digital Image Processing and OpenCV
This lecture demonstrates the concept of machine learning and searching a small section of the image inside the bigger image
This lecture contains the complete source code of the image puzzle project
This lecture demonstrate how the program is capable of searching a small section of the image in a large image
All questions are related to Python Programming
Venkatesh Varadachari is the founder of Money-Wizards Global Pte Ltd, that owns the education brands Money-Wizards, PiWizards and Scratch Ninja.
Venkatesh believes that knowledge should be made available to people in all walks of life. Venkatesh also believes in the power of education to transform lives.
Venkatesh has an MBA from the prestigious Indian Institute of Management, Bangalore.
He also has a degree in Electrical Engineering from Madras University and a Masters in Financial Engineering from National University of Singapore.
Satya is a passionate technology enthusiast and is excited about the possibility of impacting education through technology. Satya holds a Masters in Computer Applications from VIT, one of the premier engineering institutes in India. He is a product engineer and spends his time creating exciting courses around the credit card sized Raspberry Pi.