Search results for "Embedded in Embedded"

Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Cloc 2.0Der Wecker, den Sie sich schon immer gewünscht haben Raspberry Pi Pico: PIO in der PraxisExperimente mit der Programmable I/O des RP2040 ChipTweaker des armen MannesBillige Wege, sie zum Sprechen zu bringen Echter Zufallszahlen-Generator mit USBZwei PICs zum Preis von einem AVR Pimp my mike...Pegelanhebung selbst gebaut FFT mit MaixduinoFrequenzspektren erfassen Aus dem Leben gegriffenEntwurfslogik (oder Un-Logik) Schrittmotor-Treiber UCN5804Bemerkenswerte Bauteile Schaltungssimulation mit Micro-CapErste Schritte in eine komplizierte Welt Der PAUL Award 2022Junge Techniktalente und ihre kreativen Lösungen Mein erstes Software-definiertes RadioGebaut in weniger als 15 Minuten Mikrocontroller-Dokumentation verstehenTeil 1: Aufbau einer Dokumentation KI und eingebettete Systeme - Was kommt als Nächstes?Werkzeuge, Plattformen und das Ende der Textarbeiter Digitalisierung der vertikalen Landwirtschaft Infografik: Embedded und KI, heute und morgen Einführung in TinyML Casestudy KwickPOS High-Performance in jeder KlasseComputer-on-Module-Standards Aller Anfang...muss nicht schwer sein: Werden wir aktiv! I²C-Kommunikation mit Node.js und einem Raspberry PiSehen Sie Ihre Sensordaten in einem Browser Videoausgabe mit MikrocontrollernTeil 2: VGA- und DVI-Ausgabe Das Echtzeit-Betriebssystem MetronomEin RTOS für AVR-Prozessoren DVI auf dem RP2040Ein Interview mit Luke Wren, Chip-Entwickler bei Raspberry Pi Display HAT MiniZeigt die Wettervorhersage auf dem Raspberry Pi WEEF 2022 Awards: Feiern Sie das Gute! Hexadoku

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The FNIRSI DLA Series combines high-performance USB 3.0 logic analysis with flexible multi-channel signal capture for debugging and analyzing digital circuits and embedded systems. The series is available in two versions: the DLA-16 Plus with 16 digital channels and the DLA-32 Plus with 32 digital channels. Both models offer sampling rates of up to 1 GSa/s, 4 Gbit of onboard memory, and support for 120+ protocol decoders. With Buffer, Stream, and Roll acquisition modes, they are suitable for both high-speed signal analysis and long-term monitoring. Choose the DLA-16 Plus for higher sampling rates when using all channels, or the DLA-32 Plus when you need more channels and advanced serial and parallel triggering. Features Available with 16 or 32 digital input channels Up to 1 GSa/s sampling rate DLA-16 Plus: up to 500 MSa/s with all 16 channels DLA-32 Plus: up to 250 MSa/s with all 32 channels 4 Gbit onboard memory High-speed USB 3.0 interface Acquisition modes: Buffer, Stream, and Roll Support for 120+ protocol decoders Advanced triggering options 4 PWM outputs with 1 Hz–20 MHz frequency range CSV and BIN data export Specifications DLA-16 Plus DLA-32 Plus Digital Channels 16 32 Max. Sampling Rate 1 GSa/s Sampling Rate (1 Channel) 1 GSa/s Sampling Rate (8 Channels) 1 GSa/s Max. Buffer Sampling 16 CH @ 500 MSa/s 32 CH @ 250 MSa/s Max. Stream Sampling 16 CH @ 125 MSa/s 32 CH @ 50 MSa/s Hardware Memory 4 Gbit Interface USB 3.0 / USB-C Max. USB Transfer Rate 5 Gbit/s Acquisition Modes Buffer / Stream / Roll Protocol Decoders 120+ Custom Protocol Support Yes Trigger Modes Rising Edge, Falling Edge, High, Low, Any Edge Advanced Trigger Standard Triggering Serial and Parallel Parallel Trigger Stages – Up to 16 PWM Outputs 4 PWM Output Voltage 3.3 V PWM Frequency 1 Hz–20 MHz Data Export CSV, BIN Dimensions 90 x 81 x 11.5 mm Included 1x FNIRSI DLA-16/32 Plus Logic Analyzer 4 Sets x 5 Shielded Cables 18x Mini IC Test Hooks (High Configuration Version) 1x USB 3.0 Data Cable 10x IC Test Hooks 1x Transparent Storage Case for Test Hooks 1x Storage Bag 1x Manual Downloads Manual Software for Windows Software for macOS (Apple Silicon) Software for macOS (Intel)

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Learning Embedded Systems with STM32 Nucleo Boards Programming compact electronic systems is now easier to get started with than ever before. Affordable development boards, powerful software tools, and readily available documentation make it possible to turn an idea into a working prototype in very little time. MicroPython plays an important role in this development by offering a readable, interactive way to control microcontrollers while still providing direct access to their hardware features. This book explores embedded programming with MicroPython using an STM32-based Nucleo board. It shows how a microcontroller continuously interacts with its environment by reading inputs, processing information, and controlling outputs. Step by step, you will learn to flash LEDs, measure analog signals, work with sensors, control actuators, and exchange data with other devices. The built-in REPL makes it easy to test instructions immediately, inspect results, and learn through experimentation. Although microcontroller boards differ in size, speed, memory, and peripherals, the fundamental concepts remain largely the same. Digital input and output, analog conversion, timers, PWM, interrupts, and serial communication are the essential building blocks of embedded applications. By concentrating on these transferable principles, the book provides a foundation that remains useful when moving to other boards, processors, or development environments. It is intended both for newcomers and for programmers who want to expand into embedded systems. MicroPython offers a practical route into this field, combining quick results with a clear understanding of how software and hardware work together.

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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. Super-servotestervoor vier servo’s – stand-alone of in-system Analoge signalen en microcontrollersADC’s, DAC’s, stroommeting en meer embedded world 2023 Sub-Nyquist-sampling in de praktijkhogere frequenties betrouwbaar bemonsteren met subsampling Met Android-smartphone, spreek ik met ESP32?praktisch project met behulp van de Android WiFi-API Actief 1kHz-filter voor vervormingsmetingmeet beter door het het meetsignaal te optimaliseren Alle begin......multivibreert verder! Project 2.0correcties, updates en brieven van lezers Het nieuwe I3C-protocoleen waardig opvolger van I2C – of gebakken lucht? BlueRC: IR-afstandsbediening met smartphone en ESP32universeel en aanpasbaar Microcontroller-documentatie verklaarddeel 2: registers en blokschema’s Automatisering van testen en metentestapparatuur programmeren om je te dienen Elektor Infographicstesten en meten Overspanningsbeveiliging voor veilige werkingtransiëntbescherming voor niet-geïsoleerde DC/DC-voedingsmodules Meetapparatuur van het merk Wihatesters en meters voor installaties waar u op kunt bouwen Automatisch testen en samenwerken aan testresultaten Uit het leven gegrepenelektronica op hoog niveau Energieloggermeet en registreert het stroomverbruik Montage van de M.A.R.S. Rover Kit van 4tronix Parkeerschijf met e-papier displayinnovatief digitaal alternatief eCO2 Telegram-botmeet de luchtkwaliteit via Telegram Achter de schermen van DHZ high-end audioTon Giesberts van Elektor over de fijne kneepjes van het analoog ontwerpen Oost West Lab Bestwerk in uitvoering... RFID-tag’s lezen, en een RFID-deurslotvoorbeeldprojecten uit de Elektor Arduino Experimenteerbundel HF-stroomprobe voor oscilloscoopHF-stroommetingen gemakkelijk gemaakt Niet voor watjes – Makerfabs Robot Arm Kitmet de Raspberry Pi Pico en MicroPython Generatieve KIwie heeft dit eigenlijk gemaakt? Hexadokupuzzelen voor elektronici

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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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Build Your Own RISC-V ControllerFirst Steps with the NEORV32 RISC-V Softcore for Low-Cost FPGAs How to Use Arduino’s Serial PlotterPlotting Graphs With Arduino Is Easy CLUE from AdafruitA Smart Solution for IoT Projects Buffer Board for the Raspberry Pi 400Protect the I/Os Raspberry Pi RP2040 Boards Aplenty A Handbook on DIY Electronic Security and EspionageSRAM Heated or Deep-Frozen Component IdentificationTips & Tricks, Best Practices and Other Useful Information DIY Touchless Light Switch Starting out in ElectronicsMatching and Transforming What’s New in Embedded Development?Rust and Keeping IoT Deployments Updated Infographics How the Industrial and Automotive Sectors Will Benefit from 5G Moving Coil RelaysPeculiar Parts, the series HomeLab ToursEverything Revolves Around the Tools... Understanding the Neurons in Neural Networks (Part 4)Embedded Neurons Magnetic Levitation the Very Easy WayThe Third and Most Compact Version PLC Programming with the Raspberry Pi and the OpenPLC ProjectVisualization of PLC Programs with AdvancedHMI From Life's ExperiencePack Up and Leave Under Your RadarMicrocontrollers You Should Know About Monitor and Debug Over the AirA Solution for Arduino, ESP32 and Co. Portable Temperature- and Humidity-Measuring DeviceUsing Ready-Made Modules Lithium Battery Pack RepairSave Money + More Power! GUIs with PythonMeme-Generator Three Questions to Build OnWhy, What, and Who? HexadokuThe Original Elektorized Sudoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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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. Wat is Edge-AI nu eigenlijk?Intelligentie naar het apparaat brengen Maak kennis met Edge Impulse StudioEenvoudig Edge-AI modellen bouwen en implementeren Keyword spotting met Edge ImpulseVerzamelen, trainen en implementeren Slimme apparaten bedienen via spraakbesturing met de Nordic Thingy:53 Sleutelbegrippen voor het begrijpen van Edge AI en Machine Learning Snelcursus: Aan de slag met Edge ImpulseLeer een ML-model te verzamelen, trainen en implementeren met de Arduino Nano 33 BLE Sense Een nieuw hoofdstuk voor ArduinoVan hobbyboard tot Edge computing-krachtpatser Aan de slag met objectdetectie op edge-apparaten Detectie van defecten op printplatenComputer Vision met de Raspberry Pi AI op maat maken voor de kleinste apparaten Optimalisatie van het energieverbruik in batterijgevoede Edge-AI apparaten AI ToasterWanneer Edge-AI en ontbijt samenkomen Thundercomm Rubik Pi 3Raspberry Pi ervaring in combinatie met Edge AI Leiderschap, Embedded ML en de Edge-revolutie Vision language models voor EdgeModel-cascadering voor betere betrouwbaarheid Maak kennis met Edge ImpulseVragen van de Elektor-community Projectupdate #5: Energiemeter op basis van ESP32Edge-AI gebruiken voor herkenning van huishoudelijke verbruikers Bewegingsherkenning met anomalie-detectieEen uitgebreide training Slim ventilatiesysteem: integratie van geluids- en omgevingsgegevensEen machine learning toepassing met dubbele MCU voor geautomatiseerde bediening van ramen en lamellen Spraakbesturing voor oordopjes en headsets Edge-AI: de volgende generatie apparaten mogelijk maken

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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! OBD2-Sensor-DashboardEchtzeitdaten statt alter Zeigerinstrumente OBD2: Drehzahlmesser und Schaltblitz nachrüstenRetro, aber praktisch LiDAR- und Vision-Sensoren für die Robotik Sensor+Test 2025 und PCIM 2025 Berührungslose E-Feld-MessungenTeil 1. Eine vibrierende Membran zur Erfassung von Gleichspannungen oder statischen elektrischen Feldern Drahtloser Benachrichtigungsdienst für den BriefkastenVon optischen Sensoren bis zu Empfängern: Entdecken Sie verschiedene Optionen Elektor Mini-WheelieEin selbst-balancierender Roboter SolarzellenBemerkenswerte Bauteile Erste Schritte mit einem modernen RadarsensorPräzise Messungen auf Ihrem Radar? Aus dem Leben gegriffenPapierfabrik CybersecuritySchwere Zeiten für Hacker Siglent präsentiert seine neuen Multi-Kanal-OszilloskopeFür den Einsatz in Leistungselektronik und Embedded Design Bluetooth 6.0 verbessert Distance-Ranging-ApplikationenNeue Version bietet bessere Positionsbestimmungs- und Ortungsdienste für Geräte Kommunikation mit dem BeagleY-AI erkunden Projekt 2.0Korrekturen, Updates und Leserbriefe Aller Anfang ...ist nicht schwer: Das Ende der Operationsverstärker Ein mächtiger KI-Code-AssistentCode-Entwicklung mit Continue und Visual Studio Code Solarladeregler mit MPP-TrackingTeil 2: Die Schaltung Hinderniserkennung mit UltraschallEin einfaches Projekt zur Unterstützung von Menschen mit Sehbehinderungen 2025: Odyssee in die KIHalbjahresrückblick Standalone-MIDI-Synthesizer mit Raspberry PiTeil 3. Mit künstlicher Intelligenz und einer Benutzeroberfläche Meshtastic: Ein DemonstrationsprojektIntelligentes Mesh-Netzwerk auf Basis von LoRa-Funkmodulen Analoger Audio-GeneratorSinus-Generator mit einstellbarer Frequenz

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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. Cloc 2.0le réveil-matin de vos rêves PIO du RP2040 en pratiqueexpérimentation des E/S programmables du RP2040 Poor Man's ChipTweakerNous avons des moyens (abordables) de vous faire parler générateur de nombres réellement aléatoires avec interface USBdeux PICs pour le prix d?un AVR vitamines audio pour micro ramolloComment gonfler soi-même le niveau de sortie d'un microphone FFT avec MaixduinoAcquisition de spectres de fréquences sur le vifsans raison apparente pilote de moteurs pas à pas UCN5804drôle de composant, la série simulation de circuit avec Micro-Cappremiers pas dans un monde compliqué PAUL Award 2022les jeunes talents de la technologie et leurs solutions créatives ma première radio définie par logicielréalisée en moins de 15 minutes la documentation des microcontrôleurs sans peine (1)la structure d?une fiche technique quel avenir pour l'IA et les systèmes embarqués ?outils, plateformes et remplacement des rédacteurs numériser une ferme verticale Infographie : l?embarqué et l?IA d?aujourd?hui et demain Présentation du TinyML Casestudy KwickPOS Hautes performances pour tousNormes Computer-on-Module démarrer en électroniquecomposants actifs communication I²C avec Node.js et Raspberry Piaffichez les données de vos capteurs dans un navigateur sortie vidéo sur les microcontrôleurs (2)sortie VGA et DVI le système d'exploitation temps réel Metronomun RTOS pour processeurs AVR DVI sur le RP2040Entretien avec Luke Wren, développeur de composants chez Raspberry Pi L?afficheur HAT Miniaffichez les prévisions météo sur Raspberry Pi ! WEEF 2022 Awards : célébrez les bonnes choses Hexadoku

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Eerste stappen met een ESP32-C3 en het IoTWiFi-knop en -relais IoT Cloud à la Arduino Arduino-shield met dubbele Geiger-Müller buisuiterst gevoelige en zeer zuinige stralingssensor CO2-wachterluchtkwaliteit bewaken – doe het zelf! MonkMakes Air Quality Kit voor de Raspberry Pimeet temperatuur en eCO2 Alle begin......verwelkomt de diode Tips & trucs voor het testen van componentenzonder kostbare apparatuur Reduceer het stroomverbruik van uw mollenverjagerATtiny13 in plaats van 555 Lichtschakelaar DeLuxuiterst nauwkeurig lichtgestuurd schakelen Uitdagingen bij het op de markt brengen van IoT-oplossingenzorgen over veiligheid, schaalbaarheid en de concurrentie Elektor Infographics Toch beter bedraadTips voor het ontwikkelen van een 1 Gbit/s interface in de industriële omgeving Edge Impulse FOMOreal-time objectdetectie voor MCU’s Lopende-golfbuisVreemde onderdelen, de serie Smalband-Internet of Thingsstandaarden, dekking, overeenkomsten en modules Dragino LPS8 indoor-gatewayLoRaWAN-gateway snel geïnstalleerd Ontdek ATtiny-microcontrollers met behulp van C en assemblervoorbeeldhoofdstuk: ATtiny I/O-poorten Project 2.0correcties, updates en brieven van lezers LoRa GPS-tracker updateontvang en toon de locatie met een Raspberry Pi Schakelingen simuleren met TINA Design Suite & TINACloudvoorbeeldhoofdstuk: sinusoscillatoren Uit het leven gegrepenlopendebandwerk Het WinUI grafische framework voor Windows-appseen kleine demo-applicatie GUI's maken met Python's Werelds slechtste GUI Off-grid PV-systeemelektrische energie onafhankelijk van het net De 10-jaar-smartphonestel uw verwachtingen bij Hexadoku

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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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