Secure, Modular, Open-Source and Self-SufficientEver since the Raspberry Pi was introduced, it has been used by enthusiasts to automate their homes. The Raspberry Pi is a powerful computer in a small package, with lots of interfacing options to control various devices. This book shows you how you can automate your home with a Raspberry Pi. You’ll learn how to use various wireless protocols for home automation, such as Bluetooth, 433.92 MHz radio waves, Z-Wave, and Zigbee. Soon you’ll automate your home with Python, Node-RED, and Home Assistant, and you’ll even be able to speak to your home automation system. All this is done securely, with a modular system, completely open-source, without relying on third-party services. You’re in control of your home, and no one else.At the end of this book, you can install and configure your Raspberry Pi as a highly flexible home automation gateway for protocols of your choice, and link various services with MQTT to make it your own system. This DIY (do it yourself) approach is a bit more laborious than just installing an off-the-shelf home automation system, but in the process, you can learn a lot, and in the end, you know exactly what’s running your house and how to tweak it. This is why you were interested in the Raspberry Pi in the first place, right? Turn your Raspberry Pi into a reliable gateway for various home automation protocols. Make your home automation setup reproducible with Docker Compose. Secure all your network communication with TLS. Create a video surveillance system for your home. Automate your home with Python, Node-RED, Home Assistant and AppDaemon. Securely access your home automation dashboard from remote locations. Use fully offline voice commands in your own language. DownloadsErrata on GitHub
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Affordable solutions with the ESP8266 and 3D printing If you are looking for a small yet powerful IoT device, you are likely to come across the ESP8266 and compatible products on the market today. One of these, the Wemos/Lolin D1 Mini Pro board strikes a remarkable balance between cost and performance. A small and very affordable prototype board, the D1 Mini Pro stands out with its WiFi functionality and a 16-Mbytes flash memory for easy creation of a flash file system. In addition, there are sufficient input and output pins (only one analog input though) to support PWM, I²C, and One-Wire systems to mention but a few. The book describes the operation, modding, construction, and programming of home appliances including a colorful smart home accessory, a refrigerator/greenhouse controller, an AC powerline monitor, a door lock monitor, and an IKEA Trådfri controller. As a benefit, all firmware developed for these DIY, "IoT-ized" devices can be updated over-the-air (OTA). For most of the designs in the book, a small printed circuit board (PCB) and an enclosure are presented so readers can have a finished and attractive-looking product. Readers having – or with access to! – a 3D printer can "print" the suggested enclosures at home or in a shop. Some of the constructions benefit from a Raspberry Pi configured as a gateway or cms server. This is also described in detail with all the necessary configuring. You don’t need to be an expert but the prerequisites to successful replication of the projects include basic skills with PC software including the ability to surf the Internet. In terms of hardware, you should be comfortable with soldering and generally assembling the PCBs presented in the book. All custom software written for the IoT devices, the PCB layouts, and 3D print files described in the book are available for free downloading.
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Ready-to-use devices and self-built Arduino nodes in the "The Things Network" LoRaWAN has developed excellently as a communication solution in the IoT. The Things Network (TTN) has contributed to this. The Things Network was upgraded to The Things Stack Community Edition (TTS (CE)). The TTN V2 clusters were closed towards the end of 2021. This book shows you the necessary steps to operate LoRaWAN nodes using TTS (CE) and maybe extend the network of gateways with an own gateway. Meanwhile, there are even LoRaWAN gateways suitable for mobile use with which you can connect to the TTN server via your cell phone. The author presents several commercial LoRaWAN nodes and new, low-cost and battery-powered hardware for building autonomous LoRaWAN nodes. Registering LoRaWAN nodes and gateways in the TTS (CE), providing the collected data via MQTT and visualization via Node-RED, Cayenne, Thingspeak, and Datacake enable complex IoT projects and completely new applications at very low cost. This book will enable you to provide and visualize data collected with battery-powered sensors (LoRaWAN nodes) wirelessly on the Internet. You will learn the basics for smart city and IoT applications that enable, for example, the measurement of air quality, water levels, snow depths, the determination of free parking spaces (smart parking), and the intelligent control of street lighting (smart lighting), among others.
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Learn programming for Alexa devices, extend it to smart home devices and control the Raspberry PiThe book is split into two parts: the first part covers creating Alexa skills and the second part, designing Internet of Things and Smart Home devices using a Raspberry Pi.The first chapters describe the process of Alexa communication, opening an Amazon account and creating a skill for free. The operation of an Alexa skill and terminology such as utterances, intents, slots, and conversations are explained. Debugging your code, saving user data between sessions, S3 data storage and Dynamo DB database are discussed.In-skill purchasing, enabling users to buy items for your skill as well as certification and publication is outlined. Creating skills using AWS Lambda and ASK CLI is covered, along with the Visual Studio code editor and local debugging. Also covered is the process of designing skills for visual displays and interactive touch designs using Alexa Presentation Language.The second half of the book starts by creating a Raspberry Pi IoT 'thing' to control a robot from your Alexa device. This covers security issues and methods of sending and receiving MQTT messages between an Alexa device and the Raspberry Pi.Creating a smart home device is described including forming a security profile, linking with Amazon, and writing a Lambda function that gets triggered by an Alexa skill. Device discovery and on/off control is demonstrated.Next, readers discover how to control a smart home Raspberry Pi display from an Alexa skill using Simple Queue Service (SQS) messaging to switch the display on and off or change the color.A node-RED design is discussed from the basic user interface right up to configuring MQTT nodes. MQTT messages sent from a user are displayed on a Raspberry Pi.A chapter discusses sending a proactive notification such as a weather alert from a Raspberry Pi to an Alexa device. The book concludes by explaining how to create Raspberry Pi as a stand-alone Alexa device.
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History and Future in the Internet of Things This book thoroughly reviews the history of the development of embedded Operating Systems, covers the technical characteristics, historic facts, as well as background business stories of mainstream embedded Operating Systems, and analyzes the technical evolution, market development, and new opportunities of embedded Operating Systems in the age of the Internet of Things. From the perspective of time, the book examines the evolution of critical technical aspects, including real-time and Power Management of embedded Operating Systems and Linux, Internet of Things security, communication, and cloud computing. The book looks into applications of embedded Operating Systems with important markets of mobile phones, communication equipment, automobile, and wearable devices, and also discusses business model and the issue of intellectual property of embedded Operating Systems. In addition, the book walks through the status quo, technical features, product evaluation and background of the Internet of Things Operating Systems in the second half of the book.
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Using the RFID Starter Kit An Arduino board has now become ‘the’ basic component in the maker community. No longer is an introduction to the world of microcontrollers the preserve of the expert. When it comes to expanding the capabilities of the basic Arduino board however, the developer is still largely on his own. If you really want to build some innovative projects it’s often necessary to get down to component level. This can present many beginners with major problems. That is exactly where this book begins. This book explains how a wide variety of practical projects can be built using items supplied in a single kit together with the Arduino board. This kit, called the "RFID Starter Kit for Arduino" (SKU 17240) is not just limited to RFID applications but contains more than 30 components, devices and modules covering all areas of modern electronics. In addition to more simple components such as LEDs and resistors there are also complex and sophisticated modules that employ the latest technology such as: A humidity sensor A multicolor LED A large LED matrix with 64 points of light A 4-character 7-segment LED display An infra red remote-controller unit A complete LC-display module A servo A stepper motor and controller module A complete RFID reader module and security tag On top of that you will get to build precise digital thermometers, hygrometers, exposure meters and various alarm systems. There are also practical devices and applications such as a fully automatic rain sensor, a sound-controlled remote control system, a multifunctional weather station and so much more. All of the projects described can be built using the components supplied in the Elektor kit.
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Solving Real-World Problems with Embedded Machine LearningEdge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products Downloads Errata GitHub
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