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This complete ESP32 microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming in MicroPython using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the ESP32 This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming in MicroPython with the ESP32 using the Thonny IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It For? Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform ESP32 microcontroller board + USB cable Book: Programming Microcontrollers in MicroPython Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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Complete ESP32 microcontroller learning course featuring a custom-designed MCU expansion board, hands-on projects, and a comprehensive online guide – perfect for learning hardware, programming, and connectivity step by step. A Practical Introduction to Embedded Systems with the ESP32 This course is designed for readers who are new to embedded systems and looking for a structured, example-driven way to get started. If you’ve explored general-purpose electronics or Arduino-based materials but found them too broad or lacking in practical guidance, this course offers a more focused alternative. Using the "ESP32 by Example Kit" (EEK) – a compact and affordable set of components featuring LEDs, sensors, an OLED display, and a motion processor – you’ll work with a consistent hardware setup throughout the course. Once assembled, the EEK stays mostly unchanged, allowing you to concentrate on learning and experimentation without constant reconfiguration. Topics include: Understanding and programming the ESP32 microcontroller Writing and deploying code with the Arduino IDE Exploring cyber-physical systems, culminating in basic drone control No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini-projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the book’s examples but also to build on them with your own ideas and applications. Whether you're interested in embedded programming, interactive systems, or introductory drone control, this course provides a clear and practical path to getting started. What you'll learn? Embedded programming with the ESP32 using the Arduino IDE Real-time sensor input and control via buttons, LEDs, and displays Gesture-based interaction using the MPU6050 motion sensor Bluetooth gamepad integration and drone control simulation Wi-Fi and UDP networking, local web servers, and NTP MQTT communication with cloud platforms like AWS and Arduino IoT How to build and deploy full-featured IoT systems Perfect for Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material Developers moving beyond Raspberry Pi or Arduino basics Support when you need it Access to instructors via Elektor Academy Helpful community forums and essential documentation What's inside the Box (Course)? New 384-page book: "ESP32 by Example" (valued at €45) Elektor ESP32 by Example Kit (EEK): Microcontroller Extension Board with 6 LEDs and 6 Buttons installed + OLED Display, MPU6050 3-axis Accelerometer and Gyroscope Module (valued at €40) Adafruit HUZZAH32 – ESP32 Feather MCU Board (valued at €30) ESP32 Cheap Yellow Display Board (valued at €25) DHT11 Humidity & Temperature Sensor Breadboard Jumper wires USB-C cable Access to the full course on the Elektor Academy Pro Learning Platform Instructional videos Downloadable Arduino project files for every module Learning Material (of this Box/Course) ▶  Click here to open Module 1 – Getting Started with the ESP32 & EEK Module 2 – Digital Output – LEDs and GPIO Module 3 – Switches and Input Handling Module 4 – EEK and PWM Module 5 – OLED and Display Output Module 6 – Motion Sensing with the MPU6050 Module 7 – Capstone Project (EEK in Action) Module 8 – WiFi and Web Control with ESP32 Module 9 – Cloud Concepts using EEK Module 10 – Hands-on: Arduino IoT Cloud and EEK Module 11 – BlueTooth and EEK GamePad Integration Module 12 – Why Drones? Module 13 – Drone Simulator Concepts Module 14 – Simple Drone Flight Control Module 15 – Real-Time Drone Flight Control Module 16 – Drone Control Mini-Projects Module 17 – Middleware and Python Scripting Module 18 – Python Applications for Drone Control Module 19 – Capstone EEK Control Project and Presentation About the Author Dr. Jim Solderitsch is an educator, software architect, systems developer, and cybersecurity researcher with a focus on cyber-physical systems. He currently serves as an Adjunct Professor in Computing Sciences at Villanova University in Pennsylvania. What is Elektor Academy Pro? Elektor Academy Pro delivers specialized learning solutions designed for professionals, engineering teams, and technical experts in the electronics and embedded systems industry. It enables individuals and organizations to expand their practical knowledge, enhance their skills, and stay ahead of the curve through high-quality resources and hands-on training tools. From real-world projects and expert-led courses to in-depth technical insights, Elektor empowers engineers to tackle today’s electronics and embedded systems challenges. Our educational offerings include Academy Books, Pro Boxes, Webinars, Conferences, and industry-focused B2B magazines – all created with professional development in mind. Whether you're an engineer, R&D specialist, or technical decision-maker, Elektor Academy Pro bridges the gap between theory and practice, helping you master emerging technologies and drive innovation within your organization.

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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. Kleine warmtebeeldcameraeen op Arduino UNO gebaseerde DHZ-oplossing Project-update #3: ESP32-gebaseerde energiemeterintegratie en test met Home Assistant 2024: een AI-odysseeobjectdetectie verbeteren met verfijnde technieken De Raspberry Pi gaat AInieuwe kit bevat M.2 HAT+ met AI-versneller Sensoren voor weerstationswat is de beste keuze? Lees uw analoge watermeter uit met AI (1)koppel uw oude watermeter met het IoT! GSM-alarmdraadloze garagebeveiliging Low-power Thread-devices geoptimaliseerd en onder de loep genomenweinig vermogen... weinig inspanning? Uit het leven gegrepende genderkloof Zelfbouw-nevelkamermaak onzichtbare straling zichtbaar SparkFun Thing Plus Mattereen veelzijdig Matter-gebaseerd IoT development board IoT-retrofittenRS232-apparaten klaarstomen voor Industry 4.0 Stimuleer het IoT met 8-bit MCU’s Technologie stimuleert duurzaamheidvooruitgang leidt in veel toepassingen tot efficiënter energiegebruik AWS voor Arduino en co. (1)AWS IoT ExpressLink in de praktijk Luchtstroomdetector met alleen een Arduinozonder externe sensoren! Lekdetectorverbonden met de Arduino-cloud Kristallenvreemde onderdelen Universele logger voor de tuinAI-tuinieren komt een stapje dichterbij Analoge 1kHz-generatorsinussen met geringe vervorming Miletus: webapps offline gebruikeninclusief toegang tot het systeem en het apparaat! Van 4G naar 5Gis het echt zo eenvoudig? Alle begin......gaat symmetrisch

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Program, build, and master 60+ projects with the Wireless RP2040 The Raspberry Pi Pico and Pico W are based on the fast, efficient, and low-cost dual-core ARM Cortex M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM and 2 MB of Flash memory. Besides spacious memory, the Pico and Pico W offer many GPIO pins, and popular peripheral interface modules like ADC, SPI, I²C, UART, PWM, timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico W additionally includes an on-board Infineon CYW43439 Bluetooth and Wi-Fi chipset. At the time of writing this book, the Bluetooth firmware was not yet available. Wi-Fi is however fully supported at 2.4 GHz using the 802.11b/g/n protocols. This book is an introduction to using the Raspberry Pi Pico W in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all of the 60+ working and tested projects covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external sensor chips Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Bluetooth, WiFi, and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects are tried & tested. They can be implemented on both the Raspberry Pi Pico and Raspberry Pi Pico W, although the Wi-Fi-based subjects will run on the Pico W only. Basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects.

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This book is about the Raspberry Pi 3 computer and its use in various control and monitoring applications. The book explains in simple terms and with tested and working example projects, how to configure the Raspberry Pi 3 computer, how to install and use the Linux operating system, and how to write hardware based applications programs using the Python programming language. The nice feature of this book is that it covers many Raspberry Pi 3 based hardware projects using the latest hardware modules such as the Sense HAT, Swiss Pi, MotoPi, Camera module, and many other state of the art analog and digital sensors. An important feature of the Raspberry Pi 3 is that it contains on-board Bluetooth and Wi-Fi modules. Example projects are given in the book on using the Wi-Fi and the Bluetooth modules to show how real-data can be sent to the Cloud using the Wi-Fi module, and also how to communicate with an Android based mobile phone using the Bluetooth module. The book is ideal for self-study, and is intended for electronic/electrical engineering students, practising engineers, research students, and for hobbyists. It is recommended that the book should be followed in the given Chapter order. Over 30 projects are given in the book. All the projects in the book are based on the Python programming language and they have been fully tested. Full program listings of every project are given in the book with comments and full descriptions. Experienced programmers should find it easy to modify and update the programs to suit their needs. The following sub-headings are given for each project to make it as easy as possible for the readers to follow the projects: Project title Description Aim of the project Raspberry Pi type Block diagram Circuit diagram Program listing

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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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World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Waffle Pi is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.26 m/s Maximum rotational velocity 1.82 rad/s (104.27 deg/s) Maximum payload 30 kg Size (L x W x H) 281 x 306 x 141 mm Weight (+ SBC + Battery + Sensors) 1.8 kg Threshold of climbing 10 mm or lower Expected operating time 2h Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Remote Controller RC-100B + BT-410 Set (Bluetooth 4, BLE) Actuator XL430-W210 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 Camera Raspberry Pi Camera Module v2.1 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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AI in Practice Dive into the fascinating world of robotics and automation! This Elektor Special shows you how to build your own robots with creativity, a little know-how, and affordable technology. From your first DIY project with Arduino or Raspberry Pi to intelligent systems with AI – this issue makes modern robotics understandable and accessible. Discover practical instructions, inspiring projects, and exciting insights into the maker scene. Learn how experimentation, community, and openness give rise to true innovation – and why robotics is so much more than just a technical hobby. Contents Imagination turns into reality Arduino-controlled Drawing Robot GalaxyRVR Mars Rover Kit for Arduino YDLIDAR X4Pro Lidar xHuskyLens AI Camera DOF Robot Arm with Raspberry Pi Pico Manufacturing Robots with Fischertechnik Pneumatic Industrial Robot Why Do We Keep Building Robot Dogs? Elektor Mini-Wheelie Robot Vehicles and Autonomous Driving

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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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Book: Logic Analyzers in Practice 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. USB Logic Analyzer (8-ch, 24 MHz) This USB Logic Analyzer is an 8-channel logic analyzer with each input dual purposed for analog data recording. It is perfect for debugging and analyzing signals like I²C, UART, SPI, CAN and 1-Wire. It operates by sampling a digital input connected to a device under test (DUT) at a high sample rate. The connection to the PC is via USB. Specifications Channels 8 digital channels Maximum sampling rate 24 MHz Maximum input voltage 0 V ~ 5 V Operating temperature 0°C ~ 70°C Input impedance 1 MΩ || 10 pF Supported protocols I²C, SPI, UART, CAN, 1-Wire, etc. PC connection USB Dimensions 55 x 28 x 14 mm Downloads Software This bundle contains: Book 'Logic Analyzers in Practice' (normal price: €35) USB Logic Analyzer (8-ch, 24 MHz) (normal price: €20) USB Cable Jumper Wire Ribbon Cable

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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. L'architecture de processeur open-source RISC-V16 cartes et MCU à connaître un lecteur audio avec égaliseur basé sur un FPGAMixage audio numérique avec un Arduino MKR Vidor 4000 tête laser pour l’horloge de sable basé sur Raspberry Pi PicoDessiner avec la lumière participez au concours STM32 Edge AI système de contrôle environnemental multi-capteurs pour les plantesMesure sans fil de l'approvisionnement en eau et de la luminosité porte automatique contrôlée par l'IA et MaixduinoReconnaissance faciale avec une caméra l’électronique embarquée en 2024L’IA va redéfinir l’industrie Calcul en mémoire basé sur la charge chez EnCharge AI des opérations d'IA avec 10 fois moins d'énergie et des coûts divisés par 20 Une carte pour le développement et l’entraînement des modèles ML d’analyse des vibrations Elektor Mini-WheelieKit robot gyropode (robot autostabilisé) MCUViewerMCUViewer outil de débogage open source multiplateforme isolateur USB 2.0Isolation éléctrique pour les périphériques USB anticipation et actionApplication pratique de la maintenance prédictive SPoE – compatibilité électromagnétiquePaire unique avec Power-over-Ethernet à travers les yeux d'EMC rétro-techCréer un monde nouveau avec la télévision couleur surveillance ECGavec des modules Hexabitz et STM32CubeMonitor la bataille pour l’IA en périphérie HaLow atteint une distance Wifi record de 16 km à 900 MHz première puce embarquée CHERI RISC-V et programme d'accès anticipé la détection des incendies de forêt de troisième génération utilise des liaisons satellites sur le vifDélices et supplices du choix démarrer en électronique......Filtrage et contrôle de la tonalité Kit d'horloge quasi-analogiqueNouvelle version d'un classique d'Elektor une approche modulaire de test des capteursCarte de test de capteurs basée sur l'ESP32-S3 2025 : une odyssée de l'IAL'essor des modèles de fondation et leur impact sur l'accessibilité de l'IA Synthétiseur MIDI autonome Raspberry Pi (1)Préparation d'une plateforme pour des expériences d’IA en périphérie projet 2.0Corrections, mises à jour et courrier des lecteurs Le RISC-V AI, un processeur à tout faire : CPU, GPU, DSP, FPGA paroles de PDG : fraîcheur, silence et finesse programmation Dual-Core avec le Raspberry Pi PicoLe monde de la programmation parallèle

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Bauen Sie Ihre perfekte Wetterstation oder forschen Sie zusammen mit der ganzen Welt an Umweltdaten. Mit vielen praktischen Projekten für Arduino, Raspberry Pi, NodeMCU, ESP32 und weiteren Developmentboards. Wetterstationen erfreuen sich seit Jahrzehnten großer Beliebtheit. Ob in aktuellen oder längst eingestellten Elektronik-Magazinen – regelmäßig finden sich Beiträge zum Eigenbau einer Wetterstation. Im Laufe der Jahre wurden diese Systeme immer ausgefeilter und können heute nahtlos in das Smart Home integriert werden. Allerdings erfordert dies oft die Bindung an einen (teuren) Markenhersteller, der sämtliche Komponenten abdeckt. Mit Ihrer eigenen Wetterstation können Sie jedoch mühelos mithalten – und sogar Messwerte erfassen, die kommerzielle Geräte nicht bieten. Dabei kommt der Spaß nicht zu kurz: Sie erweitern spielerisch Ihr Wissen über Elektronik, moderne Mikrocontroller-Developmentboards und Programmiersprachen. Schon für weniger als zehn Euro können Sie erste Umweltdaten erfassen und Ihr System Schritt für Schritt mit wachsendem Interesse weiter ausbauen. Aus dem Inhalt: Wind und Wetter auf der Spur Wetterdisplay mit OpenWeatherMap und Vakuum-Fluoreszenzanzeige Flüchtige organische Verbindungen in der Atemluft Mit MQ-Sensoren arbeiten: Kohlenmonoxid messen – geruchlos aber extrem giftig CO2-Ampel mit ThingSpeak-IoT-Anbindung Ein Gießautomat für Ihre Pflanzen Gutes Raumklima: Temperatur und Luftfeuchtigkeit sind wichtige Kriterien Schickes Thermometer mit alter Röhrentechnik Nostalgisches Wetterhäuschen für die ganze Familie Luftdruck und Temperatur genau messen Sonnenbrand-Warngerät DIY-Sensor für die Sonnenscheindauer Das Smartphone zeigt’s an: Nebel oder klare Sicht? Erdbeben erkennen Pegelstände von Gewässern und Behältern pH-Wert von Gewässern bestimmen Radioaktive Strahlung erkennen Mit GPS wissen Sie weltweit, wo ihr Sensor ist Logdateien mit Zeitstempel auf SD-Karten speichern LoRaWAN, The Things Network und ThingSpeak LoRaWAN-Gateway für TTN betreiben Mega-Display mit Wettervorhersage

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