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Home Automation with Intel Galileo

You're reading from Home Automation with Intel Galileo Create thrilling and intricate home automation projects using Intel Galileo

Product type Paperback

Published in Mar 2015

Publisher

ISBN-13 9781785285776

Length 188 pages

Edition 1st Edition

Tools

Galileo

Concepts

Home Automation

Author (1):

Onur Dundar

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Table of Contents (10) Chapters

Preface

1. Getting Started with Intel Galileo

2. Getting Started with Home Automation Applications FREE CHAPTER

3. Energy Management with Environmental and Electrical Sensors

4. Energy Management with Light Sensors and Extending Use Cases

5. Home Monitoring with Common Security Sensors

6. Home Surveillance and Extending Security Use Cases

7. Building Applications and Customizing Linux for Home Automation

8. Extending Use Cases

Index

Using cameras with Intel Galileo

Even though Intel Galileo is a headless device without any video output support or graphical processor unit, you can get video streams to Intel Galileo. In order to work with video cameras, either a USB webcam or a network camera, we will need the OpenCV (Open Source Computer Vision) library. If you work with an USB camera, you will also need the required Linux kernel modules (v4l2) to recognize video devices connected to Intel Galileo from the USB port.

Before getting into the details of OpenCV API and internals, we will build the OpenCV library and v4l2 module for Intel Galileo and make it ready for development with OpenCV. If you have not built OpenCV, you can follow the instructions given in the following section.

Building OpenCV and V4L2 for Intel Galileo

As Intel Galileo has a different processor, Intel Quark, from regular computers, we need to recompile and build any libraries with the cross-compiler and toolchain provided with Yocto Project. A successful...

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Authors (1)

Dundar

Dundar

Onur Dundar is a software engineer who graduated from the Computer Engineering Department of Boazii University. He started working on embedded systems while he was at the university, and in his senior year project, he worked with wireless sensor networks for security and health monitoring. Onur started his career at JPMorgan Chase & Co. Then, he worked at Intel Corporation for 4 years as a software application engineer. He has specialized in embedded Linux and mostly worked on IPTV platforms, Android, as well as IoT platforms, such as Intel Galileo and Edison, and has developed applications for them. He has also helped software developers enhance their applications on these platforms. He has attended many conferences and developer events to introduce Intel Galileo and Edison. He developed the first application and wrote the public collaterals of Intel Edison when he worked at Intel Corporation. Onur is continuing his career at Invent Analytics, implementing algorithms for data analytics.

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