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This complete STM32 microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course. It is ideal for step-by-step learning of embedded systems programming with Arduino using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the STM32 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 C/C++ with the STM32 using the Arduino 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 Debug programs using breakpoints and stepping through code 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 STM32 NUCLEO-F411RE microcontroller board Book: Arduino for STM32 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

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Projekte mit Arduino, ESPHome, Home Assistant und Raspberry Pi & Co Dieses E-Book enthält verschiedene Projektbeispiele und beginnt mit einer Einführung in die Elektronik. Es erklärt unter anderem, wie man Home Assistant auf einem Raspberry Pi installiert, wie man Raumklimasensoren für Temperatur und Luftfeuchtigkeit nutzt, das MQTT-Protokoll sowie weitere Schnittstellen einsetzt und ESPHome verwendet, um Sensoren und Aktoren in Home Assistant zu integrieren. Zahlreiche Video-Tutorials ergänzen das Buch. Grundlagen der Elektrotechnik Das Buch beginnt mit einer Einführung in die Elektrotechnik. Ihr lernt die Grundlagen von Spannung, Strom, Widerständen, Dioden und Transistoren. Arduino und Mikrocontroller Ein kompletter Abschnitt widmet sich dem Arduino Uno. Ihr lernt den Aufbau kennen, schreibt erste Programme und erarbeitet praktische Beispiele. Home Assistant und Automatisierung Ihr erfahrt, wie Home Assistant auf einem Raspberry Pi eingerichtet wird, und lernt den Umgang mit Automatisierungen, Szenen und Geräten. Zusätzlich wird auf Zigbee, MQTT und ESP-NOW eingegangen – wichtige Technologien für die Heimautomation. ESP8266, ESP32 und ESP32-CAM Die beliebten ESP-Mikrocontroller werden ausführlich behandelt. Nach einer theoretischen Einführung folgen praktische Projekte, die euch zeigen, wie ihr das Beste aus diesen Geräten herausholen könnt. Sensoren und Aktoren Das Buch erklärt die Funktionsweise und Anwendung zahlreicher Sensoren wie Temperatur- und Luftfeuchtigkeitssensoren, Bewegungsmelder und RFID-Reader. Bei den Aktoren werden Schrittmotoren, e-ink Displays, Servo-Motoren und vieles mehr beleuchtet. Zu allen Geräten gibt es praxisnahe Anwendungsbeispiele. ESPHome Dieses Kapitel zeigt euch, wie ihr Sensoren und Aktoren ohne Programmieraufwand in Home Assistant integriert. Ihr werdet Schritt für Schritt durch die Einrichtung mit ESPHome geführt. LEDs und Lichttechnik In diesem Kapitel lernt ihr verschiedene LED-Typen und deren Einsatzmöglichkeiten kennen. Grundlagen der Lichttechnik werden ebenfalls erklärt. Node-RED Ein eigenes Kapitel ist Node-RED gewidmet. Ihr erlernt die Grundlagen dieses leistungsstarken Tools und werdet Schritt für Schritt durch die Einrichtung und Nutzung geführt. Integrierte Schaltkreise (ICs) In der Elektronik gibt es zahlreiche ICs, die uns das Leben erleichtern. Ihr lernt die wichtigsten kennen und wendet das Wissen in praktischen Projekten an. Programmieren für Profis Fortgeschrittene Themen wie die korrekte Verwendung von Tastern, der Einsatz von Interrupts und die Nutzung eines NTP-Servers für Zeit-Synchronisation werden in diesem Kapitel detailliert behandelt. Downloads GitHub

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DRIVING MOTORS WITH H-BRIDGESAn Introduction to DC, Stepper, and Brushless Motors THE ELEKTOR LAB TEAMOur Approach, Preferred Tools, and More RASPBERRY PI AS A KVM REMOTE CONTROLPi-KVM Software Test IQAUDIO CODEC ZEROA Sound Card for the Raspberry Pi Family THE PIKVM PROJECT AND LESSONS LEARNEDInterview with Maxim Devaev (Developer, PiKVM) AUTONOMOUS VEHICLE WITH 2D LIDARESP32 Pico Interprets Data from the Lidar Module THE RASPBERRY PI ZERO 2 W GOES QUAD-CORE NOTES FROM THE 2021 WORLD ETHICAL ELECTRONICS FORUM MOTOR CONTROLHow the Complexity of Motor Control Is Simplified LARGE ELECTRIC MOTORSBasic Principles and Useful Information GETTING STARTED WITH THE ESP32-C3 RISC-V MCU PROTECT YOURSELF AND OTHERS!DIY Master Power Switch for the Lab Bench CREATE GUIS WITH PYTHON (PART 2)Spy name chooser PRODUCTRONICA FAST FORWARD 2021 WINNERSExciting Technologies and Creative Engineering Solutions VERSATILE SERVO TESTERCheck Behavior When There’s No Datasheet MODBUS OVER WLAN (PART 2)Software for the Modbus TCP WLAN Module UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 3)Practical Neurons INSIDE AN OPEN-SOURCE PROCESSORSample Chapter: Lattice and Xilinx FPGA Results STARTING OUT IN ELECTRONICSWe Are Not Yet Done with the Coil ERR-LECTRONICSCorrections, Updates and Readers’ Letters COLOR TO SOUNDHow to Read Out a Color Sensor via I2C BATTLAB-ONEMeasure and Optimize the Battery Life of IoT Devices SIMPLE EARTH-LEAKAGE TRACERTesting Isolation of Mains Supply POVERTY AND ELECTRONICSSustainable Development Goal 1 HEXADOKUThe Original Elektorized Sudoku

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COMMANDE DE MOTEURS : LES PONTS EN HIntroduction aux moteurs CC, pas à pas et sans balais L?ÉQUIPE D?ELEKTOR LABNotre approche, nos outils préférés et plus encore RASPBERRY PI COMME TÉLÉCOMMANDE KVMTest du logiciel Pi-KVM IQAUDIO CODEC ZEROCarte son au format Raspberry Pi Zero LE PROJET PIKVM ET SES ENSEIGNEMENTSEntretien avec Maxim Devaev VÉHICULE AUTONOME AVEC LIDAR 2DUn ESP32 Pico interprète les données du lidar LE RASPBERRY PI ZERO 2 W PASSE AU QUADRICOEUR NOTES DU FORUM MONDIAL DE L?ÉLECTRONIQUE ÉTHIQUE 2021 COMMANDE DE MONTEURLa commande des moteurs devient simple MOTEURS ÉLECTRIQUES DE GRANDE TAILLEPrincipes de base et informations utiles PRISE EN MAIN DU MICROCONTRÔLEUR ESP32-C3 RISC-V PROTÉGEZ-VOUS ET PROTÉGEZ LES AUTRES !Interrupteur général pour paillasse (DIY) CRÉATION D?INTERFACES GRAPHIQUES EN PYTHON ÈME 2Mon nom n?est pas Bond GAGNANTS DU CONCOURS FAST FORWARD 2021 DU SALON PRODUCTRONICA TESTEUR DE SERVO POLYVALENTVérification du comportement en l?absence de fiche technique MODBUS SANS FIL (PARTIE 2)Logiciel de la carte Modbus TCP sans fil VOYAGE DANS LES RÉSEAUX NEURONAUX (3E PARTIE)Les neurones pratiques DANS L?INTIMITÉ D?UN PROCESSEUR OPEN SOURCEExtrait : résultats des FPGA Lattice et Xilinx DÉMARRER EN ÉLECTRONIQUE... (10)Toujours la bobine, mais avec ses applications pratiques dans l?audio. PROJET 2.0Corrections, mises à jour et courriers des lecteurs DE LA COULEUR AUSONComment exploiter un capteur de couleurs avec l?I2C SOURCEMÈTRE BATTLAB-ONEMesurer et optimiser la durée de vie des batteries des appareils IdO TRACEUR DE FUITES À LA TERRE SIMPLEMesure de l?isolation du secteur PAUVRETÉ ET ÉLECTRONIQUEQuand le courant économique passe mal HEXADOKUcasse-tête pour elektorniciens

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! electronica Fast Forward Start- & Scale-Up AwardsDie Vorbereitungen laufen auf Hochtouren! Bluetooth Low Energy mit dem ESP32-C3 und ESP32Es muss nicht immer WLAN sein! Bluetooth-LE-SnifferMit dem makerdiary nRF52840 MDK USB-Dongle Magischer RGB-LED-WürfelHardware-Design rund um einen RP2040 Automatischer Ein/Ausschalter für Lötpastenkompressor Elektor - live und in FarbeLivestreams, Webinare und Kurse für Ingenieure und Maker Fahrrad elektrifizierenE-Bike-Nachrüstkit in der Praxis Aller Anfang ...Muss nicht schwer sein: Multiplikation von Spannungen Aus dem Leben gegriffenNebenbeschäftigungen Teensy 4.0 - warum ist das Board so schnell?Oder: Geschwindigkeit ist keine Hexerei! Simulation von Audio-Leistungsverstärkern mit TINADer „Try-Before-You-Build“-Ansatz LoRaWAN-Knoten im IoTEin Beispiel-Kapitel: Die LoRaWAN-Module Dragino LHT65, LDS01 und LDS02 Projekt 2.0Korrekturen, Updates und Leserbriefe 5G für mich alleinVollständige Kontrolle über 5G-Implementierungen in privaten Mobilfunknetzen Infographics 7-8/2022 Wie lernt mein Gerät funken?Applikationen mit WiFi-Schnittstellen ausrüsten Rheinturmuhr – Wecker de luxe Audio-Spektrum-Analysator mit DekatronsEine neue Art, alte Röhren zu verwenden Senden von Daten an TelegramEin ESP32 und ein paar Bauteile erledigen den Job32 and a Few Parts Fliege-Bandsperre für Audio-MessungenBesseres Messen durch Notch-Filterung CO2-Messgerät auseinandergenommenIst das Gerät hackbar für Ihre Projekte? Spielereien mit PUTsAnaloge Entwürfe mit dem Programmierbaren Unijunction-Transistor Ein runder Touchscreen für den Raspberry PiHyperPixel 2.1 Round von Pimoroni Fernwirken und die Erkennung von Verbindungsverlustenmit Hilfe von nRF24L01+ Modulen Digitaler UKW-EmpfängerMit Arduino Nano und TEA5767 OLED-Display - aus SPI mach I²C Zutritt für Unbefugte verboten!Ein Hobby geht nicht in Rente! Ein Jahrzehnt der Ethik in der ElektronikTessel Renzenbrink sinniert über die digitale Gesellschaft HexadokuSudoku für Elektroniker

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. PIO Programming on the Raspberry Pi PicoNine Instructions, Many Possibilities Breaking AI Out of the BrowserUsing AI CLIs to Code, Compile, and Validate Embedded Projects The Scrutiny DebuggerDebug, Visualize, and Test Embedded C/C++ Code Sigfox Breakout Board (1)A Self-Built Radio BoB Low-Noise Power Supply (2)Construction, Assembly, and Practical Implementation Simple Signal Generator Using the RP2040Analog and Digital Signals for Around €10 Navigating the Future of Smart Homes with Matter and Edge AIAre Matter’s Latest Updates and the Rise of Edge AI Finally Giving Engineers the Tools to Build the Intelligent, Seamless Smart Homes Users Have Been Promised? Differential Pressure SensorsPredictive Maintenance in HVAC-Systems Security by DesignEngineering Fundamentals Limit Failure Embedded Security Is No Longer Optional CRA and PQC Are Rewriting Embedded Security PrioritiesWhy Even Small IoT and Industrial Firms Need an Upgrade Plan embedded world 2026An Interview With Benedikt Weyerer, Executive Director of embedded world Hands on with I3CUsing Hardware from ST and Microchip The BLEnky ProjectRapid Prototyping of Bluetooth Low Energy Applications Pulse Width ModulationFrom a Simple On/Off Thermostat to a Smoothed DC Analog Signal AudiotronicsEar-Pleasing Electronics for DIY Construction From Life’s ExperienceRead The F...ing Manual! ESP32 Audio Transceiver Board (Part 4)Tuning the Clocks - And a Wired Option 2026: An AI OdysseyThe 2025 Vibe-Coding Hangover Symmetrical DC LoadDC Load, Static or Dynamic, and Symmetrical Counting Faces with MaixCAMAn Easy Way to Capture Audience Sizes

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Practical Applications and Project with Arduino, ESP32, and RP2040 Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! This book offers you a practical introduction to classic and modern control methods, including PID controllers, fuzzy logic, and sliding-mode controllers. In the first part, you will learn the basics of the popular Arduino controllers, such as the Arduino Uno and the ESP32, as well as the integration of sensors for temperature and pH measurement (NTC, PT100, PT1000, and pH sensor). You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors. Both the Arduino Uno and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.

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Your First Steps with an ESP32-C3 and the IoTA Wi-Fi Button and Relay IoT Cloud a la Arduino Dual Geiger-Müller Tube Arduino ShieldA High Sensitivity, Very Low-Power Radiation Sensor CO2 GuardA DIY Approach to Monitoring Air Quality MonkMakes Air Quality Kit for Raspberry PiMeasures Temperature and eCO2 Starting Out in ElectronicsWelcome to the Diode Tips & Tricks for Testing ComponentsNo Expensive Equipment Required Reducing the Power Consumption of Your Mole RepellerAn ATtiny13 Replaces a 555 Light Switch DeLuxA Solution for High-Precision Light-Controlled Switching The Challenges in Bringing IoT Solutions to MarketWorries Around Security, Scalability, and Competition Infographics 5-6/2022 Preferably Wired After AllTips for Developing a 1 Gbit/s Interface in an Industrial Environment Bringing Real-Time Object Detection to MCUs with Edge Impulse FOMO Traveling-Wave TubesPeculiar Parts, the Series Narrowband Internet of ThingsStandards, Coverage, Agreements, and Modules Dragino LPS8 Indoor GatewaySpeedy LoRaWAN Gateway Setup Explore ATtiny Microcontrollers Using C and Assembly LanguageSample Chapter: ATtiny I/O Ports Err-lectronicsCorrections, Updates and Readers’ Letters LoRa GPS Tracker UpdateReceive and Show Location Using a Raspberry Pi Circuit Simulation with TINA Design Suite & TINACloudSample Chapter: Sinusoidal Oscillators From Life’s ExperienceAssembly Line Work The WinUI Graphics Framework for Windows AppsA Small Demo Application GUIs with PythonWorst GUI of the world Off-Grid Solar SystemsElectrical Energy Independent of the Mains Grid The 10-Year SmartphoneRenew Your Expectations HexadokuThe Original Elektorized Sudoku

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This collection features the best of Elektor Magazine's articles on embedded systems and artificial intelligence. From hands-on programming guides to innovative AI experiments, these pieces offer valuable insights and practical knowledge for engineers, developers, and enthusiasts exploring the evolving intersection of hardware design, software innovation, and intelligent technology. Contents Programming PICs from the Ground UpAssembler routine to output a sine wave Object-Oriented ProgrammingA Short Primer Using C++ Programming an FPGA Tracking Down Microcontroller Buffer Overflows with 0xDEADBEEF Too Quick to Code and Too Slow to Test? Understanding the Neurons in Neural NetworksEmbedded Neurons MAUI Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice USB Killer DetectorBetter Safe Than Sorry Understanding the Neurons in Neural NetworksArtificial Neurons A Bare-Metal Programming Guide Part 1: For STM32 and Other Controllers Part 2: Accurate Timing, the UART, and Debugging Part 3: CMSIS Headers, Automatic Testing, and a Web Server Introduction to TinyMLBig Is Not Always Better Microprocessors for Embedded SystemsPeculiar Parts, the Series FPGAs for BeginnersThe Path From MCU to FPGA Programming AI in Electronics DevelopmentAn Update After Only One Year AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test ESP32 and ChatGPTOn the Way to a Self-Programming System… Audio DSP FX Processor Board Part 1: Features and Design Part 2: Creating Applications Rust + EmbeddedA Development Power Duo A Smart Object CounterImage Recognition Made Easy with Edge Impulse Universal Garden LoggerA Step Towards AI Gardening A VHDL ClockMade with ChatGPT TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View Mosquito DetectionUsing Open Datasets and Arduino Nicla Vision Artificial Intelligence Timeline Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Bringing AI to the Edgewith ESP32-P4 The Growing Role of Edge AIA Trend Shaping the Future

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. ESP32 Audio Transceiver Board (Part 2)Wireless Audio Transmission Inductive AM TransmitterUses Pico’s PIO in an Arduino Sketch Navigating Wireless ProtocolsA Technical Guide Satellite Tracking Using LoRaThe TinyGS Network Bringing Space Data to Earth 4G-Compatible SMS Remote ControlRemotely Control Your Equipment High-Speed ProbeHigh-Impedance Inputs for Signals up to 200 MHz From Life’s ExperienceKafka KrakenSDR Performance Tests with the RP2350Is an Upgrade from Raspberry Pi Pico 1 to Pico 2 Worthwhile? Contact-Free E-Field Measurements (2)A Laser Vibrometer for Assessing the Membrane's Vibrations Crystals and OscillatorsImproving Crystal Accuracy Through Capacitor Selection Starting Out in ElectronicsSpecial Audio ICs Getting Started with Coding a DIY Project SPECTRAN® V6 MobileModular, Configurable Real-Time Spectrum Analyzer for Reliable Measurements Across All Frequency Ranges The Future of AI Is Forged in SiliconAn Interview with Anastasiia Nosova Autonomous Sensor Node v2.0 (System Architecture)Solar-Powered Sensing Platform with Integrated GPS, LoRaWAN, and More Precise PositioningBluetooth Channel Sounding Tested Powering the Future of Wireless CommunicationBTRY’s Ultra-Thin Solid-State Batteries Test-Driven Development in Firmware Writing Phone-Controlled Model CarWi-Fi + ESP32 + Smartphone = Remote Control 2025: An AI OdysseyAI Reasoning Models: The Chain-of-Thought Revolution Solar Charge Controller with MPP Tracking (3)Software and Commissioning Raspberry Pi Zero Web Streaming CameraUsing the ZeroTier VPN

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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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Construisez votre station météo idéale ou explorez les données environnementales avec le monde entier. Avec de nombreux projets pratiques pour Arduino, Raspberry Pi, NodeMCU, ESP32 et autres cartes de développement. Les stations météo jouissent d’une grande popularité depuis des décennies. Tous les magazines d’électronique, qu’ils soient récents ou non, ont publié et publient régulièrement des articles sur la construction d’une station météo. Au fil des années, elles sont devenues de plus en plus sophistiquées et peuvent aujourd’hui être entièrement intégrées dans la maison intelligente. Ceci implique toutefois souvent une fidélité à un fabricant de produits de marque (coûteux) pour tous les composants. Cependant, avec votre propre station météo, vous pouvez facilement suivre le rythme et même capturer des relevés que les appareils commerciaux ne peuvent pas réaliser. Le plaisir ne manque pas : vous développerez de manière ludique vos connaissances en électronique, en cartes de développement de microcontrôleurs modernes et en langages de programmation. Pour moins de dix euros, vous pouvez collecter des données environnementales initiales et étendre votre système au fur et à mesure que votre intérêt grandit. Dans ce numéro Sur la route du vent et de la météo Écran météo OpenWeatherMap à affichage fluorescent Les composés organiques volatils dans l‘air que nous respirons Travailler avec les capteurs MQ : mesurer le monoxyde de carbone Détecteur de CO2 avec connexion IdO vers ThingSpeak Un arrosage automatique pour vos plantes Un climat intérieur sain : la température et l‘humidité de l‘air sont importants Thermomètre avec tubes Nixie Une maison météo rétro pour toute la famille Mesurez la pression atmosphérique et la température avec précision Un détecteur de coups de soleil Capteur maison pour la durée d‘ensoleillement Le smartphone l‘indique : brouillard ou bonne visibilité ? Détecter les tremblements de terre Les niveaux des cours d‘eau et des réservoirs Évaluer la valeur du pH de l’eau Détecter les rayonnements radioactifs Avec le GPS, vous savez où se trouve votre capteur Enregistrer les fichiers journaux avec horodatage sur des cartes SD LoRaWAN, The Things Network et ThingSpeak Exploiter la passerelle LoRaWAN pour le TTN Affichage géant à led avec prévisions météo

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