Book Image

Intel Edison Projects

By : Avirup Basu
Book Image

Intel Edison Projects

By: Avirup Basu

Overview of this book

Change the way you look at embedded electronics with Intel Edison. It is a small computing platform packed with a set of robust features to deliver hands-on performance, durability, and software support. This book is a perfect place to kickstart development and rapid prototyping using Intel Edison. It will start by introducing readers to the Intel Edison board and explaining how to get started with it. You will learn how to build a mini weather station, which will help you to acquire temperature and smoke level and push it to the IoT platform. Then you will see how to build a home automation device and control your appliances using an Android app. Furthermore, we will build a security system using a webcam to detect faces and perform voice recognition. Toward the end, the book will demonstrate how you can build two robots, which will be based on different line sensing sensors and can be controlled by a PC. The book will guide the readers through each and every step of execution of a project, using Intel Edison.
Table of Contents (7 chapters)

Face detection theory

Face detection is a very specific case of object recognition. There are many approaches to face recognition. However, we are going to discuss the two given here:

  • Segmentation based on color
  • Feature-based recognition

Segmentation based on color

In this technique, the face is segmented out based on skin color. The input of this is typically an RGB image, while in the processing stage we shift it to Hue saturation value (HSV) or YIQ ( Luminance (Y), In-phase Quadrature) color formats. In this process, each pixel is classified as a skin-color pixel or a non-skin-color pixel. The reason behind the use of other color models other than RGB is that sometimes RGB isn't able to distinguish skin colors in different light conditions. This significantly...