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Raspberry Pi 3 Home Automation Projects

By : Bhadoria, Ruben Oliva Ramos

2 (1)

Buy this Book

Raspberry Pi 3 Home Automation Projects

2 (1)

By: Bhadoria, Ruben Oliva Ramos

Buy this Book

Overview of this book

Raspberry Pi 3 Home Automation Projects addresses the challenge of applying real-world projects to automate your house using Raspberry Pi 3 and Arduino. You will learn how to customize and program the Raspberry Pi 3 and Arduino-based boards in several home automation projects around your house. This book aims to help you integrate different microcontrollers like Arduino, ESP8266 Wi-Fi module, Particle Photon and Raspberry Pi 3 into the real world, taking the best of these boards to develop some exciting home automation projects. We will start with an interesting project creating a Raspberry Pi Powered smart mirror and move on to Automated Gardening System, which will help you build a simple smart gardening to keep your garden healthy with minimal effort. You will also learn to build projects such as CheerLights into a holiday display, a project to erase parking headaches with OpenCV and Raspberry Pi 3, create Netfl ix's "The Switch" for the living room and lock down your house like Fort Knox with a Windows IoT face recognition-based door lock system. By the end of the book, you will be able to build and automate the living space with intriguing IoT projects and bring a new degree of inter connectivity to your world.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Creating a Raspberry Pi-Powered Magic Mirror

What is the Raspberry Pi?

Moving on to the LXTerminal

The Magic Mirror

Summary

Automated Gardening System

Items required for the project

Setting up gardening system code (reading humidity)

Connecting it all together

Summary

Integrating CheerLights into a Holiday Display

Items required for this project

Getting the CheerLights code set up

Connecting it all together

Programming the ESP8266 Huzzah for CheerLights

Summary

Erase Parking Headaches with OpenCV and Raspberry Pi

Introduction to smart parking systems

Sensor devices for smart parking

Machine vision systems

Logging spaces in a database

Amazon Web Services IoT

Integrating the system

Summary

Building Netflix's The Switch for the Living Room

Setting up the Particle Photon

Hardware and software requirements

The architecture of the home automation system

Reading IR signals

Programming the button

Assembling the electronics

Controlling smart lights

Sending notifications with IFTTT

Future ideas for projects

Summary

Lock Down with a Windows IoT Face Recognition Door System

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

Installing Visual Studio

Creating a first example

Applications for the Internet of Things

The architecture of the security system

Future ideas

Summary

Customer Reviews

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Integrating the system

To integrate the system, we will have a schema to see how the system could be implemented using the information and requirements seen in the previous section. In the following figure, we see the modules or steps that we need to follow to build the complete system of the parking lot:

The camera detects the plate number using the library software OpenCV and Python.
The Raspberry Pi is connected to Amazon Web Services and we configure the Python SDK for receiving commands; it is connected to the IoT Lambda services that receives the commands.
From a Python script, the AWS IoT service receives the data captured from the camera and is stored in AWS DynamoDB, which is a database service. It stores the ID of the car and the plate number of the vehicle.
The data captured from the vehicle is stored in the web service; it will count the number of cars that go in...