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USB-Logikanalysatoren am PC mit Arduino, Raspberry Pi und Co Schritt-für-Schritt-Anleitungen führen Sie in die Analyse moderner Protokolle von I²C, SPI, UART, RS-232, NeoPixel, WS28xx, HD44780 und 1-Wire ein. Anhand von zahlreichen Experimentierschaltungen mit dem Raspberry Pi Pico, Arduino Uno und dem Bus Pirate üben Sie die praxisnahe Anwendung gängiger USB-Logikanalysatoren ein. Alle in diesem Buch vorgestellten Experimentierschaltungen wurden vollständig getestet und sind funktionsfähig. Die notwendigen Programmlistings sind enthalten, es sind keine besonderen Programmier- oder Elektronikkenntnisse für diese Schaltungen notwendig. Es werden die Programmiersprachen MicroPython und C mit den Entwicklungsumgebungen Thonny und Arduino IDE eingesetzt. Dieses Buch verwendet mehrere Modelle flexibler und weit verbreiteter USB-Logikanalysatoren und zeigt die Stärken und Schwächen jeder Preisklasse. Sie werden kennenlernen, welche Kriterien für Ihre Arbeit wichtig sind und in der Lage sein, das für Sie passende Gerät zu finden. Egal ob Arduino, Raspberry Pi oder Raspberry Pi Pico: Die abgebildeten Beispielschaltungen ermöglichen einen schnellen Start in die Protokollanalyse und können auch als Grundlage für eigene weitere Experimente dienen. Sie werden alle wichtigen Begriffe und Zusammenhänge kennenlernen, eigene Experimente durchführen, selbstständig Protokolle analysieren und nach der Lektüre dieses Buches – im Bereich der digitalen Signale und Protokolle – ein umfassendes Wissen aufgebaut haben.

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This bundle contains the AI Fusion Lab Kit – which includes over 450 components – and the book Physical AI with Raspberry Pi, offering a comprehensive, hands-on introduction to AI, electronics, and Python programming. Build practical projects that combine computer vision, voice interaction, sensors, motors, and large language models. The included book guides you step by step from Raspberry Pi setup and hardware control to advanced applications using OpenCV, MediaPipe, YOLO, OpenAI services, and local Ollama models. SunFounder AI Fusion Lab Kit for Raspberry Pi (450+ parts) The AI Fusion Lab Kit transforms a Raspberry Pi into a complete platform for learning artificial intelligence, electronics, and Python programming. It supports Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W, as well as popular AI models and services including ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama. With its camera, Pan-Tilt HAT, 10-axis sensor module, microphone, speaker, and electronic components, the kit enables users to build interactive AI projects that combine voice, vision, movement, and sensor data. It is suitable for beginners, students, makers, and anyone who wants to explore practical AI applications. Build Multimodal AI Projects Combine large language models with speech recognition, text-to-speech, camera vision, sensors, and breadboard circuits. Create projects that can listen, speak, see, react, and interact with their environment while learning how modern AI systems work. Explore AI Vision and Object Tracking Use YOLO, OpenCV, and MediaPipe to detect and track objects, colors, faces, and human movement. The motorized Pan-Tilt HAT allows the camera to follow targets automatically, demonstrating how computer vision and motion control work together. Voice AI with the Fusion HAT+ The Fusion HAT+ simplifies hardware control through a unified Python library and supports safe Raspberry Pi shutdown. Its integrated microphone and speaker make it easy to develop voice-controlled assistants and other conversational AI applications. Compatible with Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W Supports multiple cloud-based and local AI models Includes camera, Pan-Tilt HAT, 10DOF module, microphone, and speaker Projects covering voice AI, computer vision, sensors, and electronics Video lessons, documentation, and sample code Book: Physical AI with Raspberry Pi Using the Raspberry Pi and the AI Fusion Lab Kit, this book takes you step by step from the fundamentals of hardware interfacing to the development of intelligent systems capable of seeing, listening, speaking, and making decisions. Whether you are a student, educator, maker, or professional engineer, you will gain valuable experience through projects designed to build both knowledge and confidence. Beginning with system setup, GPIO programming, sensors, displays, motors, and automation techniques, the book gradually introduces more advanced topics, including speech recognition, text-to-speech synthesis, conversational AI, object recognition, and machine learning. Along the way, you will learn how to create voice-controlled devices, intelligent assistants, camera tracking systems, environmental monitoring solutions, and AI-powered embedded applications. Explore modern technologies such as OpenAI services, Ollama local large language models, OpenCV, MediaPipe, and YOLO object detection while gaining practical experience with real-world applications used in robotics, industrial automation, smart devices, and autonomous systems. You’ll discover how intelligent software can interact with sensors, cameras, motors, and displays to create systems that respond naturally to the world around them. Rather than simply following code examples, you will be encouraged to experiment, customize, and expand every project. The techniques and skills developed throughout this book provide a solid foundation for future innovation, rapid prototyping, research, and product development. If you are ready to move beyond traditional electronics and explore the future of intelligent embedded systems, this book will guide you every step of the way. This bundle contains: SunFounder AI Fusion Lab Kit for Raspberry Pi (normal price: €100) Book: Physical AI with Raspberry Pi (normal price: €45) Not included Raspberry Pi

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With Examples for Raspberry Pi Pico and ESP32 Creating and programming small electronic systems is now easier than ever before. With inexpensive development boards and modern software tools, anyone curious about embedded design can quickly move from an idea to a working piece of hardware. At the heart of this change is MicroPython—a clear, interactive, and beginner-friendly way to program microcontrollers while still remaining closely connected to the underlying electronics. This book introduces embedded programming through MicroPython on popular platforms such as the Raspberry Pi Pico and the ESP32. You will discover how to use microcontrollers for reading inputs, processing data, and controlling outputs in a predictable, real-time loop. With just a few lines of code, you can blink LEDs, read sensors, drive motors, and communicate with the outside world. The interactive REPL programming interface encourages experimentation and fast learning, making concepts tangible from the very first chapter. While different boards offer different capabilities, they all share the same core principles. Timers, GPIO, analog I/O, PWM, interrupts, and communication interfaces form the foundation of every embedded system. By focusing on these universal building blocks, this book helps you build skills that transfer across platforms and scale naturally toward more advanced development. Whether you are a beginner or an experienced programmer entering embedded systems, you will find that working with MicroPython is both practical and genuinely enjoyable.

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Buch: Logic Analyzer im Einsatz Schritt-für-Schritt-Anleitungen führen Sie in die Analyse moderner Protokolle von I²C, SPI, UART, RS-232, NeoPixel, WS28xx, HD44780 und 1-Wire ein. Anhand von zahlreichen Experimentierschaltungen mit dem Raspberry Pi Pico, Arduino Uno und dem Bus Pirate üben Sie die praxisnahe Anwendung gängiger USB-Logikanalysatoren ein. Alle in diesem Buch vorgestellten Experimentierschaltungen wurden vollständig getestet und sind funktionsfähig. Die notwendigen Programmlistings sind enthalten, es sind keine besonderen Programmier- oder Elektronikkenntnisse für diese Schaltungen notwendig. Es werden die Programmiersprachen MicroPython und C mit den Entwicklungsumgebungen Thonny und Arduino IDE eingesetzt. Dieses Buch verwendet mehrere Modelle flexibler und weit verbreiteter USB-Logikanalysatoren und zeigt die Stärken und Schwächen jeder Preisklasse. Sie werden kennenlernen, welche Kriterien für Ihre Arbeit wichtig sind und in der Lage sein, das für Sie passende Gerät zu finden. Egal ob Arduino, Raspberry Pi oder Raspberry Pi Pico: Die abgebildeten Beispielschaltungen ermöglichen einen schnellen Start in die Protokollanalyse und können auch als Grundlage für eigene weitere Experimente dienen. Sie werden alle wichtigen Begriffe und Zusammenhänge kennenlernen, eigene Experimente durchführen, selbstständig Protokolle analysieren und nach der Lektüre dieses Buches – im Bereich der digitalen Signale und Protokolle – ein umfassendes Wissen aufgebaut haben. USB Logic Analyzer (8 Kanäle, 24 MHz) Dieser USB Logic Analyzer ist ein 8-Kanal-Logikanalysator, bei dem jeder Eingang doppelt für die analoge Datenaufzeichnung dient. Es eignet sich perfekt zum Debuggen und Analysieren von Signalen wie I²C, UART, SPI, CAN und 1-Wire. Dabei wird ein digitaler Eingang, der mit einem zu testenden Gerät (DUT) verbunden ist, mit einer hohen Abtastrate abgetastet. Die Verbindung zum PC erfolgt via USB. Technische Daten Kanäle 8 digitale Kanäle Maximale Abtastrate 24 MHz Maximale Eingangsspannung 0 V ~ 5 V Betriebstemperatur 0°C ~ 70°C Eingangsimpedanz 1 MΩ || 10 pF Unterstützte Protokolle I²C, SPI, UART, CAN, 1-Wire etc. PC-Verbindung USB Abmessungen 55 x 28 x 14 mm Downloads Software Dieses Bundle enthält: Buch: Logic Analyzer im Einsatz (Einzelpreis: 40 €) USB Logic Analyzer (8 Kanäle, 24 MHz) (Einzelpreis: 20 €) USB-Kabel Jumper Wire Ribbon Kabel

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Der Autor zeigt in diesem Buch alle wichtigen Aspekte der Mikrocontroller-Programmierung, ohne den Leser mit unnötigen oder nebensächlichen Informationen zu überladen. Am Ende der Lektüre ist der Leser in der Lage, 8-Bit-Mikrocontroller zu verstehen und zu programmieren. Die Einführung in die Mikrocontroller-Programmierung dekliniert der Autor an Mikrocontrollern aus der PIC-Familie durch. Der PIC mit seinem 8-Bit-Design ist nicht auf dem modernsten technischen Stand, aber dafür einfach zu verstehen. Er wird in einem DIP-Gehäuse angeboten, ist überall erhältlich und nicht besonders komplex. Das gesamte Datenblatt des PICs ist um Dekaden kürzer als die Architekturbeschreibung, die den Prozessor eines fortgeschrittenen Mikrocontrollers beschreibt. Die Einfachheit hat ihre Vorteile. Wer versteht, wie ein Mikrocontroller grundlegend funktioniert, kann sich später in fortgeschrittene Softcores einarbeiten. Steht im ersten Teil des Buches Assembler als ausführende Programmiersprache im Vordergrund, so geht der Autor im zweiten Teil seines Buches vertiefend auf C ein. Quasi nebenbei entführt das Buch den Leser in die Tiefen der praktischen Arbeit mit Mikrocontrollern, erklärt interessante Messtechnik und zeigt Möglichkeiten zur Arbeitserleichterung und Fehlersuche.

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – 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. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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Projects with Arduino Uno & Raspberry Pi with Examples for the MCP2515 CAN Bus Interface Module This book details the use of the Arduino Uno and the Raspberry Pi 4 in practical CAN bus based projects. Using either the Arduino Uno or the Raspberry Pi with off-the-shelf CAN bus interface modules considerably ease developing, debugging, and testing CAN bus based projects. This book is written for students, practicing engineers, enthusiasts, and for everyone else wanting to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C and Python programming languages and programming the Arduino Uno using its IDE and Raspberry Pi will be useful, especially if the reader intends to develop microcontroller-based projects using the CAN bus. The book should be a useful source of reference material for anyone interested in finding answers to questions such as: What bus systems are available for the automotive industry? What are the principles of the CAN bus? How can I create a physical CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how dependable is a CAN bus system? What types of CAN bus controllers exist? How do I use the MCP2515 CAN bus controller? How do I create 2-node Arduino Uno-based CAN bus projects? How do I create 3-node Arduino Uno-based CAN bus projects? How do I set the acceptance masks and acceptance filters? How do I analyze data on the CAN bus? How do I create 2-node Raspberry Pi-based CAN bus projects? How do I create 3-node Raspberry Pi-based CAN bus projects?

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The Elektor Super Servo Tester can control servos and measure servo signals. It can test up to four servo channels at the same time. The Super Servo Tester comes as a kit. All the parts required to assemble the Super Servo Tester are included in the kit. Assembling the kit requires basic soldering skills. The microcontroller is already programmed. The Super Servo Tester features two operating modes: Control/Manual and Measure/Inputs. In Control/Manual mode the Super Servo Tester generates control signals on its outputs for up to four servos or for the flight controller or ESC. The signals are controlled by the four potentiometers. In Measure/Inputs the Super Servo Tester measures the servo signals connected to its inputs. These signals may come from for instance an ESC, a flight controller, or the receiver or another device. The signals are also routed to the outputs to control the servos or the flight controller or ESC. The results are shown on the display. Specifications Operating modes Control/Manual & Measure/Inputs Channels 3 Servo signal inputs 4 Servo signal outputs 4 Alarm Buzzer & LED Display 0.96' OLED (128 x 32 pixels) Input voltage on K5 7-12 VDC Input voltage on K1 5-7.5 VDC Input current 30 mA (9 VDC on K5, nothing connected to K1 and K2) Dimensions 113 x 66 x 25 mm Weight 60 g Included Resistors (0.25 W) R1, R3 1 kΩ, 5% R2, R4, R5, R6, R7, R9, R10 10 kΩ, 5% R8 22 Ω, 5% P1, P2, P3, P4 10 kΩ, lin/B, vertical potentiometer Capacitors C1 100 µF 16 V C2 10 µF 25 V C3, C4, C7 100 nF C5, C6 22 pF Semiconductors D1 1N5817 D2 LM385Z-2.5 D3 BZX79-C5V1 IC1 7805 IC2 ATmega328P-PU, programmed LED1 LED, 3 mm, red T1 2N7000 Miscellaneous BUZ1 Piezo buzzer with oscillator K1, K2 2-row, 12-way pinheader, 90° K5 Barrel jack K4 1-row, 4-way pin socket K3 2-row, 6-way boxed pinheader S1 Slide switch DPDT S2 Slide switch SPDT X1 Crystal, 16 MHz 28-way DIP socket for IC2 Elektor PCB OLED display, 0.96', 128 x 32 pixels, 4-pin I²C interface Links Elektor Magazine Elektor Labs

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This book details the use of the ARM Cortex-M family of processors and the Arduino Uno in practical CAN bus based projects. Inside, it gives a detailed introduction to the architecture of the Cortex-M family whilst providing examples of popular hardware and software development kits. Using these kits helps to simplify the embedded design cycle considerably and makes it easier to develop, debug, and test a CAN bus based project. The architecture of the highly popular ARM Cortex-M processor STM32F407VGT6 is described at a high level by considering its various modules. In addition, the use of the mikroC Pro for ARM and Arduino Uno CAN bus library of functions are described in detail. This book is written for students, for practising engineers, for hobbyists, and for everyone else who may need to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C programming language will be useful in later chapters of the book, and familiarity with at least one microcontroller will be an advantage, especially if the reader intends to develop microcontroller based projects using CAN bus. The book should be useful source of reference to anyone interested in finding an answer to one or more of the following questions: What bus systems are available for the automotive industry? What are the principles of the CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how reliable is a CAN bus system? What types of CAN bus controllers are there? What are the advantages of the ARM Cortex-M microcontrollers? How can one create a CAN bus project using an ARM microcontroller? How can one create a CAN bus project using an Arduino microcontroller? How can one monitor data on the CAN bus?

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This bundle includes the Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit and the new book "Experimenting with Red Pitaya STEMlab Gen 2". The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is a powerful and flexible platform for signal processing, data acquisition, and electronic measurement applications. Designed for engineers, developers, researchers, and educators, this kit provides everything required to start building advanced measurement and control systems. At the core of the kit is the STEMlab 125-14 PRO Gen 2 board, an upgraded and ultra-lightweight development platform. Powered by the Xilinx Zynq-7010 SoC with 512 MB of RAM, it combines FPGA programmability with ARM processing power to enable high-performance instrumentation and custom signal-processing solutions. The board offers 14-bit ADC and DAC resolution, a 125 MS/s sampling rate, an input range of ±20 V, and up to 60 MHz bandwidth. Its improved low-noise analog front-end, USB-C connectivity, and compact design make it suitable for demanding applications such as RF development, radar systems, photonics research, software-defined radio (SDR), and industrial automation. The Starter Kit includes all essential accessories for immediate use: a microSD card with preinstalled operating system, power supply, Ethernet cable for remote access, two 100 MHz oscilloscope probes, and SMA-to-BNC adapters for flexible signal connections. The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is an excellent platform for rapid prototyping, FPGA development, measurement instrumentation, and advanced electronics experimentation. Features 14-bit ADC and DAC resolution 125 MS/s sampling rate ±20 V input range Up to 60 MHz bandwidth Xilinx Zynq-7010 SoC (FPGA + ARM processor) 512 MB RAM Low-noise analog front- and back-ends Applications RF development and testing Radar and wireless systems Software-defined radio (SDR) Photonics and optical research Industrial automation and control systems Signal analysis and instrumentation Rapid prototyping of electronic measurement systems Specifications Processor Dual-core ARM Cortex-A9 FPGA AMD Xilinx Zynq-7010 SoC RAM 512 MB (4 Gb) Storage microSD card (up to 32 GB) Operating System Linux-based Red Pitaya OS ADC Resolution 14-bit DAC Resolution 14-bit Bandwidth 60 MHz (DC) Sampling Rate 125 MS/s Analog Input Channels 2 Analog Output Channels 2 Input Voltage Range ±1 V (LV) / ±20 V (HV) Input Impedance 1 MΩ / 10 pF Output Voltage Range ±1 V Ethernet 1x Gigabit Ethernet (RJ45) USB 2x USB-C 2.0 (for power and console) Digital I/O 16x GPIO (3.3 V) Communication Interfaces I²C, SPI, UART, CAN Power Supply 5 V/3 A via USB-C Dimensions 106.8 x 60.0 x 17.9 mm Included 1x Red Pitaya STEMlab 125-14 PRO Gen 2 board 2x 100 MHz oscilloscope probes 2x SMA-to-BNC adapters 1x microSD card with preinstalled OS 1x USB-C Power supply 1x Ethernet cable Downloads Documentation Schematics Book: Experimenting with Red Pitaya STEMlab Gen 2 With this new book, Red Pitaya goes beyond a versatile board. It becomes a powerful laboratory instrument for precision measurement, analysis, and control. From the fundamentals of electronic project development, monitoring, control, and design to testing, this book walks you step-by-step through everything you need to know to harness the full potential of Red Pitaya hardware and software. The book presents real-time, FPGA-based projects that are developed on a PC using the Vivado environment, then transferred to the Red Pitaya for execution and testing. You will learn about enhanced performance, expanded I/O capabilities, improved FPGA features, and advanced connectivity options that open up new frontiers for precision measurement, monitoring, and control in your embedded applications. Inside the book you will discover: A deep dive into Red Pitaya architecture and hardware design Electronic experiments using Red Pitaya for measurement and monitoring Hands-on projects using the Python programming language Practical guidance for FPGA programming using Red Pitaya Red Pitaya FPGA projects using the Verilog HDL under Vivado IDE Practical design of electronic projects including measurement and testing Step-by-step examples that bridge theory and real-world implementation Whether you are designing your own electronic circuits, developing signal analysis tools, or creating real-time control or monitoring systems, this book provides you the knowledge and confidence you need to fully learn and customize the Red Pitaya platform.

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Dit is een ideaal boek voor hobbyisten, studenten en ingenieurs die op een eenvoudige manier C en het gebruik van een mbed ARM microcontroller willen leren, rechtstreeks op internet zonder ingewikkelde software installatie. ARM mbed microcontroller NXP LPC1768 De projecten in dit boek zijn bedoeld voor beginners op het gebied van ARM microcontrollers of de programmeertaal C. Dat wil niet zeggen dat de projecten allemaal eenvoudig zijn, maar wel dat ze gemakkelijk te begrijpen zijn. We maken bijvoorbeeld gebruik van USB communicatie, een onderwerp dat door de mbed zo eenvoudig wordt gemaakt dat het geschikt is voor een beginners boek. Cloud technologie De mbed NXP LPC1768 maakt gebruik van cloud technologie, een revolutionair concept voor software ontwikkeling. Dit houdt in dat u geen software hoeft te installeren om de mbed te kunnen programmeren! Het enige dat u nodig heeft is een internet browser zoals Microsoft Internet Explorer, en een USB poort op uw PC. U kunt vanaf elke willekeurige PC waar dan ook ter wereld toegang krijgen tot uw project en er aan verder werken. Wanneer u klaar bent kunt u met een paar eenvoudige klikjes met uw muis het programma overzetten naar uw mbed hardware. Uiteraard kunt u de projecten ook downloaden en op uw eigen PC opslaan wanneer u dat liever heeft. Onderwerpen die aan de orde komen Leer het programmeren van een ARM microcontroller via cloud technologie. Geen moeilijke software installatie op uw eigen PC. Leer de programmeertaal C door leuke en interessante projecten uit te voeren. Geen ervaring of kennis noodzakelijk. Voorbeelden van projecten in dit boek: knipperlicht, tijdschakelaar, donkerschakelaar, digitale thermometer, mensen detector, USB communicatie, pratende microcontroller, fout zoeken, geluidsschakelaar, en nog veel meer - totaal 35 projecten. Voorbeelden van C onderwerpen in dit boek: variabelen, opdrachten, functies, programmaverloop, pointers (inleidend).

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Atmel AVR ist eine 8-bit-Mikrocontroller-Familie des Herstellers Atmel. Diese Controller sind wegen ihres einfachen Aufbaus, ihrer leichten Programmierbarkeit, den kostenlosen Entwicklungswerkzeugen und der Verfügbarkeit in DIP-Gehäuseformen auch bei Elektronikern und Makern äußerst beliebt. Darüber hinaus sind diese Controller bereits ab zwei Euro erhältlich. Im Arduino Uno-Board wird der ATmega328 verwendet. AVR-Programmierung für Quereinsteiger besteht aus zwei Teilen. Im ersten Teil wird in einfachen Worten erklärt, wie eine MCU (= Micro Controller Unit) im Detail arbeitet. Dem folgt eine Einführung in die Programmiersprache C. Anschließend taucht der Leser im zweiten Teil des Buches in die Welt der Register und ihre Bits ein. Dort findet man auch ein umfangreiches Glossar aller Register- und Bit-Namen. Das Buch dient somit auch als Nachschlagewerk, wenn man sich durch das Datenblatt oder andere Texte arbeiten muss. Das Buch wendet sich an alle, die bisher mit dem Arduino programmiert haben und nun nach technischen Möglichkeiten und Wegen suchen, ihre Elektronik- und Programmierkenntnisse zu erweitern. Dazu eignet sich die AVR-Programmierung im besonderen Maße.

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