With futuristic homes on the rise, learn to control and automate the living space with intriguing IoT projects
Key Features
- Build exciting (six) end-to-end home automation projects with Raspberry Pi 3,
- Seamlessly communicate and control your existing devices and build your own home automation system,
- Automate tasks in your home through projects that are reliable and fun
Book Description
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, in order to develop home devices that will really rejuvenate your home.
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. You will be able to use these projects in everyday tasks, thus making life easier and comfortable.
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 system with plant-sensor devices and Arduino 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 Netflix'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 interconnectivity to your world.
What you will learn
- Integrate different embedded microcontrollers and development boards like Arduino, ESP8266, Particle Photon and Raspberry Pi 3, creating real life solutions for day to day tasks and home automation
- Create your own magic mirror that lights up with useful information as you walk up to it
- Create a system that intelligently decides when to water your garden and then goes ahead and waters it for you
- Use the Wi-fi enabled Adafruit ESP8266 Huzzah to create your own networked festive display lights
- Create a simple machine learning application and build a parking automation system using Raspberry Pi
- Learn how to work with AWS cloud services and connect your home automation to the cloud
- Learn how to work with Windows IoT in Raspberry Pi 3 and build your own Windows IoT Face Recognition door locking system
Table of Contents
- Creating a Raspberry Pi-Powered Magic Mirror
- Automated Gardening System
- Integrating CheerLights into a Holiday Display
- Erase Parking Headaches with OpenCV and Raspberry Pi
- Building Netflix's The Switch for the Living Room
- Lock Down with a Windows IoT Face Recognition Door System
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.
Ruben Oliva Ramos is a computer systems engineer from Tecnologico of León Institute, with a master's degree in Computer and Electronic Systems Engineering, with a specialization in Teleinformatics and Networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than five years of experience in developing web applications to control and monitor devices connected to Arduino and Raspberry Pi using web frameworks and cloud services to build the IoT applications.
Ruben is a Mechatronics teacher at the University of Salle Bajio and teaches students enrolled for the master's degree in Design and Engineering of mechatronics Systems. He also works at Centro de Bachillerato Tecnologico Industrial 225 in León, Guanajuato Mexico, and teaches subjects, such as electronics, robotics, and control, automation and microcontrollers, at mechatronics technician career. He is also a consultant and developer for projects in areas, including monitoring systems and datalogger data, using technologies, such as Android, iOS, Windows Phone, HTML5, PHP, CSS, Ajax, JavaScript, Angular, and ASP.NET; databases, such as SQLite, MongoDB, and MySQL; and web servers, such as Node.js and IIS. Ruben has done hardware programming on Arduino, Raspberry Pi, Ethernet Shield, GPS and GSM/GPRS, ESP8266, and control and monitoring systems for data acquisition and programming.
Ruben is the author of the following books, also by Packt:
- Internet of Things Programming with JavaScript
- Advanced Analytics with R and Tableau
