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)

Real-time video display using OpenCV

Before we move on to face detection, let's first see whether we can access our camera or not. To do that, let's write a very simple Python script to display the webcam video feed:

import cv2 

cap = cv2.VideoCapture(0)

# Capture frame-by-frame
ret, frame =

# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Display the resulting frame
if cv2.waitKey(1) & 0xFF == ord('q'):

# When everything done, release the capture

In the preceding code, we initially import the openCV module as import cv2.

Next we initialize the video capture device and set the index to zero as we're using the default webcam that comes with the laptop. For desktop users, you may need to vary the parameter.