Book Image

Smart Internet of Things Projects

By : Agus Kurniawan
Book Image

Smart Internet of Things Projects

By: Agus Kurniawan

Overview of this book

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.
Table of Contents (13 chapters)
Smart Internet of Things Projects
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Building your own IoT machine vision


We already know Pixy CMUcam5 as a camera module. In this section, we try to use this module in our IoT project.

The following is a list of the required modules:

You also can obtain these modules on other online stores.

Deploying Pixy CMUcam5 on Raspberry Pi

In order to use Pixy CMUcam5, you should install the required libraries and applications. Firstly, you can open the terminal on Raspberry Pi and type these commands:

$ sudo apt-get install libusb-1.0-0-dev
$ sudo apt-get install qt4-dev-tools
$ sudo apt-get install qt4-qmake qt4-default
$ sudo apt-get install g++
$ sudo apt-get install swig
$ sudo apt-get install libboost-all-dev

You need the Pixy library and application from source code. Firstly, you download the source code and then install PixyMon:

$ git clone https://github.com/charmedlabs/pixy.git
$ cd...