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With the availability of free and open source C/C++ compilers today, you might wonder why someone would be interested in assembler language. What is so compelling about the RISC-V Instruction Set Architecture (ISA)? How does RISC-V differ from existing architectures? And most importantly, how do we gain experience with the RISC-V without a major investment? Is there affordable hardware available? The availability of the Espressif ESP32-C3 chip provides a way to get hands-on experience with RISC-V. The open sourced QEMU emulator adds a 64-bit experience in RISC-V under Linux. These are just two ways for the student and enthusiast alike to explore RISC-V in this book. The projects in this book are boiled down to the barest essentials to keep the assembly language concepts clear and simple. In this manner you will have “aha!” moments rather than puzzling about something difficult. The focus in this book is about learning how to write RISC-V assembly language code without getting bogged down. As you work your way through this tutorial, you’ll build up small demonstration programs to be run and tested. Often the result is some simple printed messages to prove a concept. Once you’ve mastered these basic concepts, you will be well equipped to apply assembly language in larger projects.

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The AVR-IoT WA development board combines a powerful ATmega4808 AVR MCU, an ATECC608A CryptoAuthentication secure element IC and the fully certified ATWINC1510 Wi-Fi network controller – which provides the most simple and effective way to connect your embedded application to Amazon Web Services (AWS). The board also includes an on-board debugger, and requires no external hardware to program and debug the MCU. Out of the box, the MCU comes preloaded with a firmware image that enables you to quickly connect and send data to the AWS platform using the on-board temperature and light sensors. Once you are ready to build your own custom design, you can easily generate code using the free software libraries in Atmel START or MPLAB Code Configurator (MCC). The AVR-IoT WA board is supported by two award-winning Integrated Development Environments (IDEs) – Atmel Studio and Microchip MPLAB X IDE – giving you the freedom to innovate with your environment of choice. Features ATmega4808 microcontroller Four user LED’s Two mechanical buttons mikroBUS header footprint TEMT6000 Light sensor MCP9808 Temperature sensor ATECC608A CryptoAuthentication™ device WINC1510 WiFi Module On-board Debugger Auto-ID for board identification in Atmel Studio and Microchip MPLAB X One green board power and status LED Programming and debugging Virtual COM port (CDC) Two DGI GPIO lines USB and battery powered Integrated Li-Ion/LiPo battery charger

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There are many so-called 'Arduino compatible' platforms on the market. The ESP8266 – in the form of the WeMos D1 Mini Pro – is one that really stands out. This device includes WiFi Internet access and the option of a flash file system using up to 16 MB of external flash memory. Furthermore, there are ample in/output pins (though only one analogue input), PWM, I²C, and one-wire. Needless to say, you are easily able to construct many small IoT devices! This book contains the following builds: A colourful smart home accessory refrigerator controller 230 V power monitor door lock monitor and some further spin-off devices. All builds are documented together with relevant background information for further study. For your convenience, there is a small PCB for most of the designs; you can also use a perf board. You don’t need to be an expert but the minimum recommended essentials include basic experience with a PC, software, and hardware, including the ability to surf the Internet and assemble PCBs. And of course: A handle was kept on development costs. All custom software for the IoT devices and PCB layouts are available for free download from at Elektor.com.

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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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In 35 Projects with the Raspberry Pi and Arduino The Internet of Things (IoT) is a trend with a strong technological impulse. At home, we want to do everything on our tablets, from browsing Facebook to watching TV, from operating lights to keeping an eye on the temperature. In 35 fun projects, this book will show you how to build your own Internet of Things system. We'll cover the hardware (primarily the Raspberry Pi and Arduino) and the software that makes control via Internet possible. We employ Wi-Fi and radio links so no requirement any longer to install cabling crisscross through your home. Assuming the projects in the book are finished, you have a complete Internet of Things system that allows you to control and view of everything in your home. For example, if there's something in the mail box or the car is securely in the garage. Also, you can switch on the lights and the alarm from your couch. The crisp explanations allow the projects to be customized with ease, for example, to turn on your coffee machine or TV remotely. The index gives easy access to creative projects that can serve as an example, enabling you to do all the connecting to the IoT independently. All project software can be downloaded free of charge from the Elektor website. In this unique book, Raspberry Pi, Arduino and HTML webpages with stylesheets and JavaScript come together in clearly-described, easy-to-build projects. This special book is an essential part of your collection!

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The Arduino Pro Portenta Cat. M1/NB IoT GNSS Shield allows you to enhance the connectivity features of your Portenta H7 applications. The shield leverages a Cinterion TX62 wireless module by Thales, designed for highly efficient, low-power IoT applications to deliver optimized bandwidth and performance. The Portenta Cat. M1/NB IoT GNSS Shield combines with the strong edge computing power of the Portenta H7 to enable the development of asset tracking and remote monitoring applications in industrial settings, as well as in agriculture, public utilities and smart cities. The shield offers cellular connectivity to both Cat. M1 and NB-IoT networks with the option to use eSIM technology. Easily track your valuables – across the city or worldwide – with your choice of GPS, GLONASS, Galileo or BeiDou. Features Change connectivity capabilities without changing the board Add NB-IoT, CAT. M1 and positioning to any Portenta product Possibility to create a small multiprotocol router (WiFi - BT + NB-IoT/CAT. M1) Greatly reduce communication bandwidth requirements in IoT applications Low-power module Compatible also with MKR boards Remote Monitoring Industrial and agricultural companies can leverage the Portenta Cat. M1/NB IoT GNSS Shield to remotely monitor gas detectors, optical sensors, machinery alarm systems, biological bug traps and more. Technology providers providing smart city solutions can compound the power and reliability of the Portenta H7 with the Portenta Cat. M1/NB IoT GNSS Shield, to connect data and automate actions for a truly optimized use of resources and enhanced user experience. Asset Monitoring Add monitoring capabilities to any asset by combining the performance and edge computing features of the Portenta family boards. The Portenta Cat. M1/NB IoT GNSS Shield is ideal to monitor valuable goods and also for monitoring industrial machinery and equipment. Specifications Connectivity Cinterion TX62 wireless module; NB-IoT - LTE CAT.M1; 3GPP Rel.14 Compliant Protocol LTE Cat. M1/NB1/NB2; UMTS BANDS: 1 / 2 / 3 / 4 / 5 / 8 / 12(17) / 13 / 18 / 19 / 20 / 25 / 26 / 27 / 28 / 66 / 71 / 85; LTE Cat.M1 DL: max. 300 kbps, UL: max. 1.1 Mbps; LTE Cat.NB1 DL: max. 27 kbps, UL: max. 63 kbps; LTE Cat.NB2 DL: max. 124 kbps, UL: max. 158 kbps Short messaging service (SMS) Point-to-point mobile terminated (MT) and mobile originated (MO) Text Mode; Protocol Data Unit (PDU) Mode Localization support GNSS capability (GPS/BeiDou/Galileo/GLONASS) Other Embedded IPv4 and IPv6 TCP/IP stack access; Internet Services: TCP server/client, UDP client, DNS, Ping, HTTP client, FTP client, MQTT client Secure Connection with TLS/DTLS Secure boot Dimensions 66 x 25.4 mm Operating temperature -40° C to +85° C (-104° F to 185°F) Downloads Datasheet Schematics

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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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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 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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A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

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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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