Rishabh Jain - Advanced Home Automation Using Raspberry Pi: Building Custom Hardware, Voice Assistants, and Wireless Nodes
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- Book:Advanced Home Automation Using Raspberry Pi: Building Custom Hardware, Voice Assistants, and Wireless Nodes
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Advanced Home Automation Using Raspberry Pi: Building Custom Hardware, Voice Assistants, and Wireless Nodes: summary, description and annotation
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In first few chapters, you will develop a basic understanding of the Raspberry Pi and how one can control it wirelessly from anywhere in the world. Then youll get to know about the local server for your home automation projects and control the Raspberry Pi GPIOs using smartphone and web apps. Every appliance will be able to talk to each other, as well, with the help of mesh networking, which youll learn to implement. The user interface is also an important aspect of handling all the appliances, so youll create your own user dashboard using OpenHAB. From there, you can monitor all the appliances and sensor data in one environment.
Next, implement your own custom voice assistant to control your appliances and perform basic tasks like playing music, checking weather, etc. Youll also integrate a smart door bell into your system using image processing so that you can restrict an unknown persons entry. Finally, well combine all the knowledge that we have learned to make a fully versatile home automation project controlled using voice, gestures, and image processing. Throughout this whole project, Raspberry Pi will be your master server or node and other devices will be connected wirelessly using wi-fi/Bluetooth modules. Create a smart home with fully custom interfaces to do exactly what you need!
What Youll Learn
- Create a user interface using openHAB
- Implement the MQTT protocol
- Install Alexa and Google Home API to control appliances wirelessly
Who This Book Is For
Enthusiasts with a working knowledge of the Raspberry Pi, electronic engineering, and Python programming. This book will also interest hobbyists and students from Computer Science or related disciplines.
Rishabh Jain: author's other books
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This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
For my Mom and Dad who constantly inspired me to start this extraordinary work.
Automation does not have to be difficult. In this book, we will learn about the Home Automation system using Raspberry Pi and supporting modules. The journey will be challenging but by the end of the book, you will have hands-on exposure to many of the fundamentals of automation tools. You will work with hardware design, home automation platforms and protocols, write code in two programming languages namely Python and C. Also, you will get the basic understanding of voice assistants and Image processing using OpenCV.
This book is for those who have beginner level knowledge of Raspberry Pi, Electronics, IoT and Python programming. The book would also interest hobbyists who are interested in learning a little more about working with Raspberry Pi.
This book is for those who dont necessarily have the time to read through many different books on Raspberry Pi, ESP modules, electronics and programming; someone who is looking for a broad yet condensed introduction to some of the fundamentals related to automation.
This book is for students from Computer Science or related disciplines who want to expand their knowledge in the automation field; someone who wants to work with hardware design and software that more closely resembles what they might see in college or in the professional world. Ill try to provide you with a quick but easy introduction for all the topics covered in this book.
Writing a book is harder than I thought and more rewarding than I could have ever imagined. None of this would have been possible without my Mom, Dad, brother, Rajat and sister, Divya who taught me discipline, manners, respect, and so much more that has helped me succeed in life.
To my best friends, Puneet, Rahul, Aniket, and Amit. They stood by me during every struggle and all my successes. That is true friendship. I want to thank God most of all, because without God I wouldnt be able to do any of this. Id also like to thank my professors and teachers who have helped me learn and practice electronics.
To all the organizations who gave me the opportunity to work, without the experiences and support from my peers, this book would not exist. Thanks to everyone on the Apress team who helped me so much. Special thanks to Aaron for reaching out to me to write this book and Jessica for the wonderful editorial support and guidance.
has been very successful in national level robotics and innovations-based competitions with his team. He has a keen interest in technology which emerged in childhood when he customized and experimented with his toys and electronic devices. He believes in learning by doing. He is an avid contributor on technical sites dedicated to learning hardware, from beginner to pro sites, and has contributed more than 50 projects, including a stepwise writeup and project demonstration videos. He recently joined an India-based product design company as an electronics and embedded design engineer.
is a 15-year veteran of machine learning and dynamic programming techniques. During his career, he has worked on natural language processing with a focus on automatically labelling and generating definitions for unknown terms in big corpora of unstructured documents. He also worked on an early voice assistant (Voxifera) developed in 2008. He developed machine learning techniques for clustering, inferring correlations and preventing the next step in complex attacks by analyzing the alerts of an intrusion detection system. In the recent years, he combined his passion for machine learning with IoT and distributed systems. From self-driving robots to people detection, from anomaly detection to data forecasting, Fabio likes to combine the flexibility and affordability of tools such as Raspberry Pi, Arduino, ESP8266, MQTT, and cheap sensors with the power of machine learning models. He's an active IEEE member and an open source enthusiast, and he has contributed to hundreds of open source projects over the years.
Welcome to the world of automation. Almost everything around us is being automated, from your spectacles to huge machinery in factories. According to a survey, the global market of automation is expected to be around USD 8.42 billion by 2027. It is leading to Industry 4.0 while writing this book. Industry 4.0 means smarter factories, where all machines can talk by exchanging real-time data with the help of the IoT (Internet of Things) and IoE (Internet of Everything) infrastructures.
There are many micro-controllers, modules, and sensors available in the market that are used to make things smarter. Among these, Raspberry Pi is one of the most powerful, cheapest, and smallest computers loved by hobbyists. You can do pretty much everything with this palm-sized board. In other words, it is just a general-purpose, small computer.
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