Example projects with Node-RED, MQTT, WinCC SCADA, Blynk, and ThingSpeak This comprehensive guide unlocks the power of Modbus TCP/IP communication with Arduino. From the basics of the Modbus protocol right up to full implementation in Arduino projects, the book walks you through the complete process with lucid explanations and practical examples. Learn how to set up Modbus TCP/IP communication with Arduino for seamless data exchange between devices over a network. Explore different Modbus functions and master reading and writing registers to control your devices remotely. Create Modbus client and server applications to integrate into your Arduino projects, boosting their connectivity and automation level. With detailed code snippets and illustrations, this guide is perfect for beginners and experienced Arduino enthusiasts alike. Whether you‘re a hobbyist looking to expand your skills or a professional seeking to implement Modbus TCP/IP communication in your projects, this book provides all the knowledge you need to harness the full potential of Modbus with Arduino. Projects covered in the book: TCP/IP communication between two Arduino Uno boards Modbus TCP/IP communication within the Node-RED environment Combining Arduino, Node-RED, and Blynk IoT cloud Interfacing Modbus TCP/IP with WinCC SCADA to control sensors Using MQTT protocol with Ethernet/ESP8266 Connecting to ThingSpeak IoT cloud using Ethernet/ESP8266

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Learn programming for Alexa devices, extend it to smart home devices and control the Raspberry Pi The 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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From Theory to Practical Applications in Wireless Energy Transfer and Harvesting Wireless power transmission has gained significant global interest, particularly with the rise of electric vehicles and the Internet of Things (IoT). It’s a technology that allows the transfer of electricity without physical connections, offering solutions for everything from powering small devices over short distances to long-range energy transmission for more complex systems. Wireless Power Design provides a balanced mix of theoretical knowledge and practical insights, helping you explore the potential of wireless energy transfer and harvesting technologies. The book presents a series of hands-on projects that cover various aspects of wireless power systems, each accompanied by detailed explanations and parameter listings. The following five projects guide you through key areas of wireless power: Project 1: Wireless Powering of Advanced IoT Devices Project 2: Wireless Powered Devices on the Frontline – The Future and Challenges Project 3: Wireless Powering of Devices Using Inductive Technology Project 4: Wireless Power Transmission for IoT Devices Project 5: Charging Robot Crawler Inside the Pipeline These projects explore different aspects of wireless power, from inductive charging to wireless energy transmission, offering practical solutions for real-world applications. The book includes projects that use simulation tools like CST Microwave Studio and Keysight ADS for design and analysis, with a focus on practical design considerations and real-world implementation techniques.

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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