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Der Arduino Uno ist ein Open-Source-Mikrocontroller-Entwicklungssystem, das Hardware, eine integrierte Entwicklungsumgebung (IDE) und eine Vielzahl von Bibliotheken umfasst. Es wird von einer riesigen Gemeinschaft von Programmierern, Elektronikern, Enthusiasten und Akademikern unterstützt. Insbesondere die Bibliotheken erleichtern die Programmierarbeit und reduzieren die Entwicklungszeiten, da sie das Erstellen von Programmen erheblich erleichtern. Der Raspberry Pi 4 kann in vielen Projekten wie Audio- und Videoanwendungen, aber auch in Industriesteuerungen, Robotik, Spielen usw. eingesetzt werden. Dazu bietet er auch WiFi- und Bluetooth-Fähigkeiten, wodurch er sich zudem hervorragend für internetbasierte Steuerungs- und Überwachungsanwendungen eignet. In diesem Buch werden sowohl der Raspberry Pi 4 als auch der Arduino Uno in PID-basierten automatischen Steuerungsanwendungen eingesetzt. Nach einer grundlegenden Theorie der Regelsysteme werden funktionierende und getestete Projekte zur Steuerung realer Systeme mit PID-Reglern vorgestellt. Die Open-Loop-Eigenschaften, die Abstimmung der PID-Parameter und das Closed-Loop-Zeitverhalten der Systeme werden zusammen mit Blockdiagrammen, Schaltplänen und PID-Regelalgorithmen ausführlich diskutiert. Vollständige Programme für den Raspberry Pi und den Arduino Uno runden die im Buch vorgestellten Projekte ab. Die Regelsysteme können problemlos auch auf andere Projekte angewendet werden und die für den Raspberry Pi 4 angegebenen Programme sollten auch mit anderen Modellen der Raspberry Pi-Familie reibungslos funktionieren. Das Buch behandelt folgende Themen: Steuer- und Regelsysteme Analoge und digitale Sensoren Übertragungsfunktionen und zeitkontinuierliche Systeme Systemantwortfunktionen erster und zweiter Ordnung Zeitdiskrete digitale Systeme Zeitkontinuierliche PID-Regler Zeitdiskrete PID-Regler Zweipunkt-Temperaturregelung mit Raspberry Pi und Arduino Uno PID-basierte Temperaturregelung mit Raspberry Pi und Arduino Uno Motorsteuerung mit Raspberry Pi und Arduino Uno Wasserstandsregelung mit Raspberry Pi und Arduino Uno PID-basierte LED-Helligkeitsregelung mit Raspberry Pi und Arduino Uno

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PC USB Logic Analyzers with Arduino, Raspberry Pi, and Co. Step-by-step instructions guide you through the analysis of modern protocols such as I²C, SPI, UART, RS-232, NeoPixel, WS28xx, HD44780 and 1-Wire. With the help of numerous experimental circuits based on the Raspberry Pi Pico, Arduino Uno and the Bus Pirate, you will learn the practical application of popular USB logic analyzers. All the experimental circuits presented in this book have been fully tested and are fully functional. The necessary program listings are included – no special programming or electronics knowledge is required for these circuits. The programming languages used are MicroPython and C along with the development environments Thonny and Arduino IDE. This book uses several models of flexible and widely available USB logic analyzers and shows the strengths and weaknesses of each price range. You will learn about the criteria that matter for your work and be able to find the right device for you. Whether Arduino, Raspberry Pi or Raspberry Pi Pico, the example circuits shown allow you to get started quickly with protocol analysis and can also serve as a basis for your own experiments. After reading this book, you will be familiar with all the important terms and contexts, conduct your own experiments, analyze protocols independently, culminating in a comprehensive knowledge set of digital signals and protocols.

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Projects with Thonny-IDE, uPyCraft-IDE, and ESP32 The 'Python' programming language has enjoyed an enormous upswing in recent years. Not least, various single-board systems such as the Raspberry Pi have contributed to its popularity. But Python has also found widespread use in other fields, such as artificial intelligence (AI) or machine learning (ML). It is obvious, therefore, to use Python or the 'MicroPython' variant for use in SoCs (Systems on Chip) as well. Powerful controllers such as the ESP32 from Espressif Systems offer excellent performance as well as Wi-Fi and Bluetooth functionality at an affordable price. With these features, the Maker scene has been taken by storm. Compared to other controllers, the ESP32 has a significantly larger flash and SRAM memory, as well as a much higher CPU speed. Due to these characteristics, the chip is not only suitable for classic C applications, but also for programming with MicroPython. This book introduces the application of modern one-chip systems. In addition to the technical background, the focus is on MicroPython itself. After the introduction to the language, the programming skills learned are immediately put into practice. The individual projects are suitable for use in the laboratory as well as for everyday applications. So, in addition to the actual learning effect, the focus is also on the joy of building complete and useful devices. By using laboratory breadboards, circuits of all kinds can be realized with little effort, turning the testing and debugging of the 100% homebrew projects into an instructive pleasure. The various applications, such as weather stations, digital voltmeters, ultrasound range finders, RFID card readers or function generators, make the projects presented ideally suited for practical courses or subject and study work in the natural sciences, or in science and technology classes.

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The Siglent SPD4121X is a 4-channel DC Linear Programmable Power Supply equipped with a 4.3-inch TFT-LCD display, friendly human-machine interface, and excellent performance indicators. Real-time waveform display provides engineers with an informative user interface. SPD4121X offers a total output power of 285 W with a resolution of 1 mV/1 mA. The maximum voltage and current for each channel are as follows: CH1: 15 V/1.5 A CH2: 12 V/10 A CH3: 12 V/10 A CH4: 15 V/1.5 A Features Rated output power: 285 W Rated voltage: 32 V, 12 V, 30 V Up to four high-precision power supplies with independent controllable outputs, supporting CH2 and CH3 series and parallel connections Clear graphical interface with waveform and timer display modes 5-digit voltage and current display with minimum resolution of 1 mV, 1 mA Fast output response time: <50us The high current channel support remote voltage compensation sense function. The maximum compensation voltage is 0.6 V Overvoltage protection and overcurrent protection or safe and accurate operation Equipped with a 4.3-inch TFT-LCD display (480 x 272 resolution) USB and LAN standard communication USB-GPIB module is optional Excellent channel density with up to 4 channels in a 3U half rack package Internal data storage for setups and parameters Embedded Web Server with instrument communication that doesn’t require software installation Fully SCPI programming command set support as well as a LabView driver for remote control and system automation Specifications SPD4323X SPD4121X SPD4306X Channel Output CH1: Voltage 0 to 6 V Current 0 to 3.2 ACH2: Voltage 0 to 32 V Current 0 to 3.2 ACH3: Voltage 0 to 32 V Current 0 to 3.2 ACH4: Voltage 0 to 6 V Current 0 to 3.2 A CH1: Voltage 0 to 15 V Current 0 to 1.5 ACH2: Voltage 0 to 12 V Current 0 to 10 ACH3: Voltage 0 to 12 V Current 0 to 10 ACH4: Voltage 0 to 15 V Current 0 to 1.5 A CH1: Voltage 0 to 15 V Current 0 to 1.5 ACH2: Voltage 0 to 30 V Current 0 to 6 ACH3: Voltage 0 to 30 V Current 0 to 6 ACH4: Voltage 0 to 15 V Current 0 to 1 A Resolution 1 mV, 1 mA 1 mV, 1 mA 1 mV, 1 mA Setting Accuracy Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Readback Accuracy Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Display 4.3" TFT-LCD 5-digit voltage and current display 4.3" TFT-LCD 5-digit voltage and current display 4.3" TFT-LCD 5-digit voltage and current display Output power 240 W 285 W 400 W Included 1x Siglent SPD4121X Power Supply 1x Power cord (EU) 1x Output test cord (3 A) 1x USB cable 1x Quick start guide Downloads Datasheet Manual Quick start

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. For Eyes and Ears Video Output with Microcontrollers (1)Composite Video electronica 2022News from the world’s leading electronics trade show ESP32 CameraSo Simple, It Doesn’t Even Have to Use Wi-Fi ATX Power Supply for Raspberry Pi 32 Ω Headphone AmplifierSimple But High-Quality 3-Chip Solution SDR Radio-Controlled clocksFive Time Signals, Six Displays Starting Out in ElectronicsSpecial Diodes From Life's ExperienceMusings on the Quality of Things Reverse-Engineering a Bluetooth Low Energy LED BadgeHow to Control a BLE Device with a Python Script MakePython ESP32 Development KitEverything in a Box THD Measurement with an Oscilloscope and FFTEasily Calculate the Distortion Factor All-Seeing MachinesThe Technology Behind Today’s Industrial Vision Systems Infographics The Evolution of Voice and Audio Control for Electronic Devices WEEF 2022 in Review FFWD electronica 2022 in ReviewInnovators Did Not Fail to Impress The TubeAn Unusual Tube Amplifier Biomaterial in Electronics: Ready or Not Opera Cake Antenna Switch for HackRF OneConnect Up To Eight Antennas To Your SDR Engineering with Arduino and MoreAn Interview with Author Ashwin Pajankar LiDAR Precision GaugeMeasure up to 12 Meters Audio Signals and the ESP32The ESP-ADF Environment in Practice Elektor Fortissimo-100 Power Amplifier Kit Using Light for Sound EffectsLDR-Based Voltage-Controlled 24 dB/oct Synthesizer Filter Elektor High-Power AF AmplifierThe Loudest of Them All! HomeLab ToursA Volumetric Display Made in Canada Err-lectronicsCorrections, Updates and Readers’ Letters Hexadoku

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Learn to interface and program hardware devices in a wide range of useful applications, using ARM7 microcontrollers and the C programming language. Examples covered in full detail include a simple LED to a multi-megabyte SD card running the FAT file system. Features of this book Build prototype circuits on breadboard or Veroboard and interface to ARM microcontrollers. A 32-bit ARM7 microcontroller is used in interfacing and software examples. Interfacing principles apply to other ARM microcontrollers and other non-ARM microcontrollers as well. Example programs are written in the C programming language. Use only free or open source software. Download and install all programming tools from the Internet. Template project files are provided for easy project creation. Hardware Interface to LEDs, transistors, optocouplers, relays, solenoids, switches, keypads, LCD displays, seven segment displays, DC motors, stepper motors, external analogue signals using the ADC, RS232, RS-485, TWI, USB, SPI and SD memory cards. Software Once hardware has been interfaced to a microcontroller, software must be written to control the hardware. You will learn how to write programs to operate externally interfaced hardware devices, use timers and interrupts. Also learn how to port FAT file system code for use with an SD memory card, program the PWM to produce an audio sine wave, program the PWM to speed control a DC motor and more. A chapter on more advanced ARM microcontrollers is included with an overview of some of the newest ARM microcontrollers and their features.

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Measuring Does Not Have to be Expensive Low-Cost Audio TesterUsing PC-Based Software and a USB Audio Interface AC Grid Frequency MeterMonitor Mains Frequency and Voltage A Modest Inductance MeterAn Affordable Solution for Your Workbench Acoustic Wave HoveringA Look at the Makerfabs Acoustic Levitation Kit Starting Out in ElectronicsRectifiers E-FFWD: Looking Ahead Again! Get Started With Your OscilloscopeFind Your Way Through the Knobs and Buttons Raspberry Pi Pico Makes an MSF-SDRDecode a Time Signal with a Pi Pico SDR Moisture Sensors for Watering SystemsAutomatic Watering Disruption in Test and Measurement EquipmentInnovation from the Smaller Players Infographics 7-8/2022 Inspiration, That’s What It’s All AboutInterview with Entrepreneur Walter Arkesteijn, InnoFaith Beauty Sciences Minimizing EMC Interference from Storage Chokes GUIs with Python (Part 5)Tic-Tac-Toe Reed RelaysPeculiar Parts, the series Simple Analog ESR Meter With Moving-Coil Meter Precision Sigfox CO2 Traffic LightNo Wi-Fi Network Needed! Women in Tech“It's All About Merit Until Merit Has Tits” Low-Budget Tablet Oscilloscope ADS1013DGood Value for Money? Smart Plug TeardownWhich Ones Are Hacker-Friendly? Skin Impedance and Skin CapacitanceSmall Experiments From Life’s ExperienceNo Local Business Pokit Meter ReviewA Swiss army knife of test gear HexadokuThe Original Elektorized Sudoku

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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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50+ Android Apps with Raspberry Pi, ESP32 and Arduino This book is about developing apps for Android compatible mobile devices using the MIT App Inventor online development environment. MIT App Inventor projects can be in either standalone mode or use an external processor. In standalone mode, the developed application runs only on the mobile device (e.g. Android). In external processor-based applications, the mobile device communicates with an external microcontroller-based processor, such as Raspberry Pi, Arduino, ESP8266, ESP32, etc. In this book, many tested and fully working projects are given both in standalone mode and using an external processor. Full design steps, block programs, circuit diagrams, QR codes and full program listings are given for all projects. The projects developed in this book include: Using the text-to-speech component Intonating a received SMS message Sending SMS messages Making telephone calls using a contacts list Using the GPS and Pin-pointing our location on a map Speech recognition and speech translation to another language Controlling multiple relays by speech commands Projects for the Raspberry Pi, ESP32 and Arduino using Bluetooth and Wi-Fi MIT APP Inventor and Node-RED projects for the Raspberry Pi The book is unique in that it is currently the only book that teaches how to develop projects using Wi-Fi and Node-RED with MIT App Inventor. The book is aimed at students, hobbyists, and anyone interested in developing apps for mobile devices. All projects presented in this book have been developed using the MIT App Inventor visual programming language. There is no need to write any text-based programs. All projects are compatible with Android-based mobile devices. Full program listings for all projects as well as detailed program descriptions are given in the book. Users should be able to use the projects as they are presented, modifying them to suit their own needs.

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No-Code KI für Maker und Entwickler Dieses Buch nimmt Heraklits Leitsatz "Panta rhei – alles fließt" als Ausgangspunkt, um den Wandel und die Dynamik moderner Lebens- und Arbeitswelten zu beleuchten. Arbeitsabläufe – sogenannte Workflows – durchziehen sowohl das private als auch das geschäftliche Umfeld. Sie entstehen aus dem Zusammenspiel einzelner, oft banaler Handlungen, die in eine sinnvolle Reihenfolge gebracht werden. Diese Abläufe lassen sich manuell ausführen, doch durch Automatisierung und digitale Hilfsmittel werden sie deutlich effizienter und belastbarer. Ein besonderer Fokus liegt auf dem Einsatz Künstlicher Intelligenz (KI), die sich mit rasanter Geschwindigkeit in immer mehr Lebensbereiche integriert. Ob automatische Übersetzungen, persönliche Assistenzen oder intelligente Infrastrukturen – KI-Systeme wie ChatGPT oder DeepSeek bieten vielfältige Möglichkeiten zur Prozessvereinfachung. Im privaten Bereich sind smarte Häuser ein Beispiel, im geschäftlichen Umfeld sind es komplexe Reaktionsketten auf bestimmte Situationen, bei denen KI gezielt eingesetzt wird. Für die praktische Umsetzung solcher Prozesse bietet das Buch eine Einführung in das Low-Code-Tool n8n, das es ermöglicht, auch komplexe Workflows ohne klassische Programmierung zu gestalten. Mit über 500 fertigen Integrationen verbindet n8n verschiedenste Anwendungen miteinander und kann durch KI-Module ergänzt werden. Das Buch zeigt auf leicht verständliche Weise, wie sich solche Systeme sowohl im Alltag als auch in Unternehmen nutzen lassen – für mehr Effizienz, Struktur und technologische Souveränität. Alle Linux-Befehle und Dateieinträge zur Konfiguration von Anwendungen stehen für Sie als Download bereit. Downloads GitHub

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. programmation PIO sur le Raspberry Pi PicoNeuf instructions, de multiples possibilités l'IA en ligne de commandeDéveloppement, compilation et validation de projets embarqués depuis le terminal le Scrutiny DebuggerDéboguer, visualiser et tester du code C/C++ embarqué carte breakout Sigfox (1)Développement d’une BoB radio alimentation à faible bruit (2)Construction, assemblage et mise en œuvre pratique générateur de signaux simple basé sur le RP2040Signaux analogiques et numériques à la découverte du futur de la domotique avec Matter et l’IA EdgeLes dernières versions de Matter et l’essor de l’IA en périphérie de réseau (edge) donnent-ils enfin aux ingénieurs les outils nécessaires pour construire les maisons intelligentes et parfaitement intégrées promises aux utilisateurs ? capteurs de pression différentielleLa maintenance prédictive appliquée aux systèmes CVC la sécurité dès la conceptionPrincipes d’ingénierie pour limiter les défaillances la sécurité des systèmes embarqués n’est plus une option la CRA et la PQC redéfinissent les priorités de la sécurité embarquéePourquoi même les petites entreprises IoT et industrielles doivent prévoir une mise à niveau embedded world 2026Entretien avec Benedikt Weyerer, directeur d’embedded world prise en main du bus I3CUtilisation de matériel de ST et Microchip le projet BLEnkyPrototypage rapide d’applications Bluetooth Low Energy modulation de largeur d’impulsionDu thermostat tout ou rien à un signal analogique continu filtré audiotroniqueDes circuits audio agréables à l’écoute, à réaliser soi-même sur le vifLisez donc le manuel ! carte émetteur-récepteur audio ESP32 (4)Réglage des horloges et une option filaire 2026 : une odyssée de l’IAConséquences du vibe coding charge CC symétriqueCharge CC symétrique, statique ou dynamique comptage de visages avec MaixCAMUne méthode simple pour estimer la taille d’un public

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