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Raspberry Pi 3 Home Automation Projects

You're reading from Raspberry Pi 3 Home Automation Projects Bringing your home to life using Raspberry Pi 3, Arduino, and ESP8266

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781783283873

Length 226 pages

Edition 1st Edition

Languages

JavaScript

Tools

Arduino

Concepts

Home Automation

Authors (2):

Bhadoria

Ruben Oliva Ramos

View More author details

Table of Contents (13) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Creating a Raspberry Pi-Powered Magic Mirror FREE CHAPTER

2. Automated Gardening System

3. Integrating CheerLights into a Holiday Display

4. Erase Parking Headaches with OpenCV and Raspberry Pi

5. Building Netflix's The Switch for the Living Room

6. Lock Down with a Windows IoT Face Recognition Door System

Getting started: Installing and configuring Windows 10 IoT on the Raspberry Pi 3

You are almost ready to plug in the Raspberry Pi 3. Even though your hardware configuration is complete, you'll still need to complete the next section to power on the device. So let's figure out how to install an operating system.

In order to deploy and flash the image of Windows 10 IoT Core, we need to follow the steps outlined in the upcoming section.

Preparation

First, we need to install Windows 10 on a computer Desktop in order to flash Windows 10 IoT Core on the Raspberry Pi 3 device.

Installing Windows 10 Desktop

This is the link to get a Windows 10 trial version to install it on the PC https://www.microsoft.com/en-us/software-download/windows10.

Getting the package to install Windows 10 IoT Core

To get the package of the installation, we need to go to https://www.raspberrypi.org/downloads/:

First, we need to go to this link to get Windows 10 IoT Core https://developer.microsoft.com/en-us/windows/iot/getstarted...

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Authors (2)

Bhadoria

Bhadoria

Shantanu Bhadoria is an avid traveler and the author of several popular open source projects in Perl, Python, Golang, and Node.js, including many IoT projects. When in Singapore, he works on paging and building control systems for skyscrapers and large campuses in Singapore, Hong Kong, and Macau. He has authored and contributed to public projects dealing with control over gyroscopes, accelerometers, magnetometers, altimeters, PWM generators, and other sensors and controllers, as well as sensor fusion algorithms such as Kalman filters. Shantanu's work in IoT and other fields can be accessed on his GitHub account with the name shantanubhadoria. He is also the author of Device::SMBus, a popular Perl library used to control devices over the I2C bus.

See other products by Bhadoria

Ruben Oliva Ramos

Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.

See other products by Ruben Oliva Ramos

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