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Smart Internet of Things Projects

You're reading from   Smart Internet of Things Projects Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786466518
Length 258 pages
Edition 1st Edition
Languages
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Toc

Table of Contents (8) Chapters Close

Preface 1. Making Your IoT Project Smart 2. Decision System for IoT Projects FREE CHAPTER 3. Building Your Own Machine Vision 4. Making Your Own Autonomous Car Robot 5. Building Voice Technology on IoT Projects 6. Building Data Science-based Cloud for IoT Projects Index

Deploying OpenCV on Raspberry Pi

In this section, we will deploy the OpenCV library on Raspberry Pi. I use Raspbian Jessie for testing. We're going to install OpenCV from source code in Raspberry Pi board.ss

Let's start to build the OpenCV library from source code on Raspberry Pi. Firstly, we install development libraries. Type these commands on the Raspberry Pi terminal:

$ sudo apt-get update
$ sudo apt-get install build-essential git cmake pkg-config libgtk2.0-dev
$ sudo apt-get install python2.7-dev python3-dev

We also need to install the required matrix, image and video libraries. You can type these commands:

$ sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
$ sudo apt-get install libxvidcore-dev libx264-dev
$ sudo apt-get install libatlas-base-dev gfortran

The next step is to download the OpenCV source code via Git. You can type these commands:

$ mkdir opencv
$ cd opencv
...
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