Résultats de la recherche pour "arduino OR nano OR esp32 OR with OR headers"

For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

Lis (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. USB Measurement AdapterTesting Current and Signal Quality of USB Ports 4...20 mA Current Output for Arduino UnoA Reliable, EMI-Insensitive Current Loop Interface Vacuum Cleaner Automatic ControlKeep Your Tools’ Work Area Clean DDS Generator with ATtiny Opamp-Tester V2New PCB – Now Also Suitable for SMDs 550-mW “Lamp” Audio AmplifierGet the Warm Sound of Vacuum Tubes With Ease Fuse GuardMonitoring a Fuse with a Flashing LED HQ RIAA PreamplifierGet the Most Out of Your Vinyl Records! Turntable Speed CalibratorAn Arduino-Based 100–120 Hz Strobe Light Generator Elektor Classics: video buffer/repeater Infrared Remote-Controlled DimmerControl Your Halogen or LED Floor Lamp Effortlessly and With Style How to Use switch…case on Strings in C++/Arduino IDE Magnet FinderWith a Simple Hall-Effect Sensor Raspberry Pi Smart Power ButtonA Solution for Raspberry Pi Up to Model 4 Essential Maker TipsProfessional Insights for Everyday Making Practical Projects with the 555 TimerDC Motor Control and Fast Reaction Challenges Basic AC-Load-On MonitorSave Energy with a Simple Device Power Banks in ParallelA Three-Day Continuous Power Solution VFO Up to 15 MHzAn Implementation With Raspberry Pi Pico Violin Tuner with ATtiny202 Elektor Classics: video amplifier for B/W television sets Capacitance Meter20 pF to 600 nF Quasi-Analog Clockwork Mk IITwo LED Rings for Hours and Minutes You Can Do Anything You Want(with the Arduino Ecosystem at Your Side) Neon Lamp Dice Elektor Classics: RTTY calibrator indicator Inspiring Hardware Designs for Your ESPs Elektor Classics: variable 3 A power supply RGB LEDs with Integrated Control CircuitLight with Precision: ICLEDs Set Standards Experiment: Towards a Mixed-Signal Theremin?Blending Modern Time-of-Flight Sensors With the Timeless XR2206 Analog Generator ESP32 Audio Transceiver Board (Part 1)SD Card WAV File Player Demo Infographics: Circuits and Circuit Design 2025 Small Audio MixerA Simple and Versatile Scalable Design Smart Staircase Light TimerSave More Money on the Energy Bill! Smarten Up Your ShuttersControlling Velux Hardware With an ESP32 and MQTT Solid-State Foot WarmerEnergy-Efficient Comfort Is the M5Stamp Fly Quadcopter the Next Tello? Boosting Wi-Fi Range of the ESP32-C3 SuperMiniA Simple and Effective Antenna Mod ZD-8968 Hot-Air Soldering StationA Budget-Friendly Workhorse or Just Hot Air? Parking Sensor TesterFinding Defects in the PDC System of a Car

Lis (+) (–)

With Examples for Arduino UNO, Raspberry Pi Pico and ESP32 Programming small electronic systems has never been more accessible. Tasks that once demanded expensive tools, specialized hardware, and deep electrical engineering expertise can now be tackled with low-cost development boards and approachable software. At the centre of this shift is the Arduino environment, which provides a unified and familiar way to program a wide range of microcontroller platforms—from classic AVR boards like the Arduino UNO to modern ARM-based boards such as the Raspberry Pi Pico, and powerful Wi-Fi-enabled devices like the ESP32. This book introduces embedded programming through the core idea that defines all microcontrollers: reading inputs, processing information, and controlling outputs in a predictable loop. The Arduino environment abstracts much of the hardware complexity, allowing you to focus on behaviour rather than implementation details. With just a few lines of code, you can blink LEDs, read sensors, control motors, and communicate with other devices. While the Arduino UNO, Raspberry Pi Pico, and ESP32 boards differ greatly in performance and features, they share the same fundamental building blocks: digital and analog I/O, timers, serial communication, PWM, interrupts, and power management. Learning these concepts within the Arduino framework builds skills that transfer easily across platforms and scale toward more advanced applications. By exploring multiple boards while maintaining a consistent programming approach, this book helps you progress from simple experiments to confidently produce well-structured designs—showing that embedded development can be both practical and enjoyable.

Lis (+) (–)

Cette offre groupée pratique vous permet de créer de véritables applications d’IA en périphérie avec le Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) Le Raspberry Pi AI HAT+ est une carte d'extension conçue pour le Raspberry Pi 5, dotée d'un accélérateur Hailo AI intégré. Ce module complémentaire offre une approche rentable, efficace et accessible pour intégrer des capacités d'IA hautes performances, avec des applications couvrant le contrôle des processus, la sécurité, la domotique et la robotique. L'AI HAT+ se connecte via l'interface PCIe Gen3 du Raspberry Pi 5. Lorsque le Raspberry Pi 5 exécute une version actuelle du système d'exploitation Raspberry Pi, il détecte automatiquement l'accélérateur Hailo intégré, rendant l'unité de traitement neuronal (NPU) disponible pour les tâches d'IA. De plus, les applications de caméra rpicam-apps incluses dans Raspberry Pi OS prennent en charge de manière transparente le module AI, en utilisant automatiquement le NPU pour les fonctions de post-traitement compatibles. Raspberry Pi Camera Module 3 Le module Caméra Raspberry Pi 3 est un appareil photo compact de Raspberry Pi. Il est doté d'un capteur IMX708 de 12 mégapixels avec HDR et d'un autofocus à détection de phase. Le Camera Module 3 est disponible en version standard et en version grand angle, toutes deux avec ou sans filtre infrarouge. Le Camera Module 3 peut être utilisé pour prendre des vidéos full HD ainsi que des photos, et dispose d'un mode HDR jusqu'à 3 mégapixels. Son fonctionnement est entièrement pris en charge par la bibliothèque libcamera, y compris la fonction d'autofocus rapide de Camera Module 3 : cela le rend facile à utiliser pour les débutants, tout en offrant beaucoup pour les utilisateurs avancés. Camera Module 3 est compatible avec tous les ordinateurs Raspberry Pi. Livre : Edge AI Made Practical – AI Projects for the Raspberry Pi with the AI HAT+ L'intelligence artificielle embarquée (Edge AI) transforme les appareils du quotidien en intégrant l'intelligence là où elle est la plus utile : directement au cœur du matériel. Grâce à l'inférence embarquée, une caméra peut reconnaître instantanément un visiteur, un téléphone peut traduire la parole sans envoyer l'audio vers le cloud et un objet connecté peut détecter les anomalies en temps réel – rapidement, en toute confidentialité et de manière fiable, même en cas de perte de réseau. Ce livre est votre guide pratique pour construire précisément ce type de systèmes avec le Raspberry Pi AI HAT+ et l'accélérateur Hailo-8L. Vous commencerez par des bases solides : les concepts fondamentaux de l'IA et de l'apprentissage automatique, le fonctionnement des réseaux neuronaux et ce qui distingue véritablement l'Edge AI de l'IA cloud – ainsi qu'une analyse franche des considérations éthiques et des impacts futurs. Cette offre groupée contient : Livre : Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Refroidisseur actif pour Raspberry Pi 5 Câble d'écran FPC pour Raspberry Pi 5 (300 mm) Kit de composants Elektor Connecteur GPIO 40 broches Module de feux de signalisation LED rouge 5 V avec résistance intégrée LED jaune 5 V avec résistance intégrée LED verte 5 V avec résistance intégrée LED bleue 5 V avec résistance intégrée Plaque d'essai (400 points de connexion) 10 connecteurs Dupont Câbles (mâle-femelle) Module de capteur DHT22 Servomoteur Requis Raspberry Pi 5

Lis (+) (–)

Practical Multitasking Fundamentals Programming embedded systems is difficult because of resource constraints and limited debugging facilities. Why develop your own Real-Time Operating System (RTOS) as well as your application when the proven FreeRTOS software is freely available? Why not start with a validated foundation? Every software developer knows that you must divide a difficult problem into smaller ones to conquer it. Using separate preemptive tasks and FreeRTOS communication mechanisms, a clean separation of functions is achieved within the entire application. This results in safe and maintainable designs. Practicing engineers and students alike can use this book and the ESP32 Arduino environment to wade into FreeRTOS concepts at a comfortable pace. The well-organized text enables you to master each concept before starting the next chapter. Practical breadboard experiments and schematics are included to bring the lessons home. Experience is the best teacher. Each chapter includes exercises to test your knowledge. The coverage of the FreeRTOS Application Programming Interface (API) is complete for the ESP32 Arduino environment. You can apply what you learn to other FreeRTOS environments, including Espressif’s ESP-IDF. The source code is available from GitHub. All of these resources put you in the driver’s seat when it is time to develop your next uber-cool ESP32 project. What you will learn: How preemptive scheduling works within FreeRTOS The Arduino startup “loopTask” Message queues FreeRTOS timers and the IDLE task The semaphore, mutex, and their differences The mailbox and its application Real-time task priorities and its effect Interrupt interaction and use with FreeRTOS Queue sets Notifying tasks with events Event groups Critical sections Task local storage The gatekeeper task

Lis (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Accelerating IoT Innovation A Color E-Ink Wi-Fi Picture Frame ESP-Launchpad TutorialFrom Zero to Flashing in Minutes ESP32 and ChatGPTOn the Way to a Self-Programming System… Walkie-Talkie with ESP-NOWNot Quite Wi-Fi, Not Quite Bluetooth! From Idea to Circuit with the ESP32-S3A Guide to Prototyping with Espressif Chips AIoT Chip InnovationAn Interview With Espressif CEO Teo Swee-Ann Simulate ESP32 with WokwiYour Project’s Virtual Twin Trying Out the ESP32-S3-BOX-3A Comprehensive AIoT Development Platform Electronics Workspace EssentialsInsights and Tips From Espressif Engineers The ESP RainMaker StoryHow We Built “Your” IoT Cloud Assembling the Elektor Cloc 2.0 KitAn Elektor Product Unboxed by Espressif Unleashing the ESP32-P4The Next Era of Microcontrollers Rust + EmbeddedA Development Power Duo Who Are the Rust-Dacious Embedded Developers?How Espressif is Cultivating Embedded Rust for the ESP32 Espressif’s Series of SoCs Building a PLC with Espressif SolutionsWith the Capabilities and Functionality of the ISOBUS Protocol The ESP32-S3 VGA BoardBitluni’s Exciting Journey Into Product Design Acoustic Fingerprinting on ESP32Song Recognition With Open-Source Project Olaf Circular Christmas Tree 2023A High-Tech Way to Celebrate the Holiday Season A Simpler and More Convenient LifeAn Amateur Project Based on the Espressif ESP8266 Module How to Build IoT Apps without Software ExpertiseWith Blynk IoT Platform and Espressif Hardware Building a Smart User Interface on ESP32 Quick & Easy IoT Development with M5Stack Prototyping an ESP32-Based Energy Meter A Value-Added Distributor for IoT and More In-Depth Insights: Interview With Arduino on the Nano ESP32Alessandro Ranellucci and Martino Facchin Discuss Espressif Collaboration Your AIoT Solution ProviderInsights From Espressif Streamlining MCU Development With ESP-IDF Privilege Separation An Open-Source Speech Recognition Server……and the ESP BOX The Thinking EyeFacial Recognition and More Using the ESP32-S3-EYE ESP32-C2-Based Coin Cell SwitchDesign and Performance Evaluation The Smart Home Leaps Forward with MatterUnlocking Smart Home IoT Potential Tech the Future: Where Is Smart Home IoT Headed?

Lis (+) (–)

Design IoT Projects with Raspberry Pi, Arduino and ESP32 The Internet of Things (IoT) is becoming a major application area for embedded systems. As a result, more and more people are becoming interested in learning about embedded design and programming. Technical colleges and universities are moving away from legacy 8 and 16-bit microcontrollers and are introducing 32-bit embedded microcontrollers to their curriculums. Many IoT applications demand precision, high processing power, and low power consumption. Produced by IBM, Node-RED is an open-source visual editor for wiring the Internet of Things. Node-RED comes with a large number of nodes to handle a multitude of tasks. The required nodes are selected and joined together to perform a particular task. Node-RED is based on flow type programming where nodes are configured and joined together to form an application program. There are nodes for performing complex tasks, including web access, Twitter, E-mail, HTTP, Bluetooth, MQTT, controlling GPIO ports, etc. One particularly nice aspect of Node-RED is that the programmer does not need to learn how to write complex programs. For example, an email can be sent by simply joining nodes together and writing only a few lines of code. The aim of this book is to teach how Node-RED can be used in projects. The main hardware platform used with most of the projects in this book is Raspberry Pi 4. Chapters are included to show how Node-RED can be also be used with Arduino Uno, ESP32 DevKitC, and the ESP8266 NodeMCU microcontroller development boards.

Lis (+) (–)

Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development.

Lis (+) (–)

Open-Source-Code mit Arduino IDE und PlatformIO Autonomes Fahren: GPS, Accelerometer, Gyroskop PS3-Controller Mikrocontroller wie der Arduino und Einplatinenrechner wie der Raspberry Pi haben sich zu beliebten Komponenten entwickelt. Dritter im Bunde ist der ESP32 der Firma Espressif. Mikrocontroller dieser Baureihe zeichnen sich durch eine Vielzahl implementierter Funktionen aus, die bei einem Arduino konventioneller Prägung mit einem Atmel-AVR-Mikrocontroller erst mit weiterer Hardware möglich sind. Prominentes Beispiel sind hier die WiFi- und Bluetooth-Funktionalitäten. Gegenüber einem Raspberry Pi zeichnen sie sich durch einen deutlich geringeren Preis aus. Allgemeine Informationen für die Realisierung eines Roboterauto-Projekts mit dem ESP32 sind leicht zu finden. Dabei handelt es sich aber oft nur um Ausführungen zu einem Teilaspekt, ohne inhaltliche oder funktionale Abstimmung. So ist nicht nur die Beschaffung der benötigten Informationen mühselig und zeitaufwändig, sie kann auch außerordentlich fehlerträchtig sein. Ansatzpunkt dieses Buches ist, diese Lücke zu schließen. Es geht auf verschiedene Möglichkeiten eines Chassis ein, vermittelt nötige Kenntnisse und führt schrittweise von einer einfachen Motorsteuerung zu einem komplexen sensor- und sprachgesteuerten Roboterauto. Hacks rund um GPS und eine PlayStation 3 runden die Sache ab. Inhalt Bei der Reihenfolge der Kapitel wurde versucht – beginnend bei der Darstellung von grundlegenden Informationen – über die Lösung einfacher Aufgaben zu etwas anspruchsvolleren Techniken zu führen. Der Mikrocontroller ESP32 Die Software erstellen Die Stromversorgung Rund um die Hardware Das Chassis Der Gleichstrommotor Kabellose Steuerung über WiFi Mit Sensoren Hindernisse erkennen Eine eigene Roboterauto-App Servo und Lichtsensor GPS Accelerometer / Gyroskop PS3-Controller Roboterauto-App Hinweis zur Software Die Dateien haben das Suffix (.cpp). Grund ist die Entwicklung mit PlatformIO. Mit Copy & Paste sollten sie auch in der Arduino-IDE verwendet werden können.

Lis (+) (–)

Get Cracking with the Arduino Nano V3, Nano Every, and Nano 33 IoT The seven chapters in this book serve as the first step for novices and microcontroller enthusiasts wishing to make a head start in Arduino programming. The first chapter introduces the Arduino platform, ecosystem, and existing varieties of Arduino Nano boards. It also teaches how to install various tools needed to get started with Arduino Programming. The second chapter kicks off with electronic circuit building and programming around your Arduino. The third chapter explores various buses and analog inputs. In the fourth chapter, you get acquainted with the concept of pulse width modulation (PWM) and working with unipolar stepper motors. In the fifth chapter, you are sure to learn about creating beautiful graphics and basic but useful animation with the aid of an external display. The sixth chapter introduces the readers to the concept of I/O devices such as sensors and the piezo buzzer, exploring their methods of interfacing and programming with the Arduino Nano. The last chapter explores another member of Arduino Nano family, Arduino Nano 33 IoT with its highly interesting capabilities. This chapter employs and deepens many concepts learned from previous chapters to create interesting applications for the vast world of the Internet of Things. The entire book follows a step-by-step approach to explain concepts and the operation of things. Each concept is invariably followed by a to-the-point circuit diagram and code examples. Next come detailed explanations of the syntax and the logic used. By closely following the concepts, you will become comfortable with circuit building, Arduino programming, the workings of the code examples, and the circuit diagrams presented. The book also has plenty of references to external resources wherever needed. An archive file (.zip) comprising the software examples and Fritzing-style circuit diagrams discussed in the book may be downloaded free of charge below.

Lis (+) (–)

Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Super-Servo-TesterBis zu vier Servos einzeln oder eingebaut testen Analoge Signale und der MikrocontrollerADCs, DACs, Strommessung und mehr embedded world 2023 Sub-Nyquist-Sampling in der PraxisHöhere Frequenzen mittels Unterabtastung sicher erfassen Hier Android-Smartphone, dort ESP32?Praxisprojekt mit der Android WiFi-API Aktives 1-kHz-Filter für VerzerrungsmessungenBessere Messungen durch Optimierung des Messsignals Aller Anfang...muss nicht schwer sein: Wir multivibrieren weiter! Projekt 2.0Korrekturen, Updates und Leserbriefe Das neue I3C-ProtokollWürdiger I2C-Nachfolger oder viel Rauch um Nichts? BlueRC: IR-Fernsteuerung mit Smartphone und ESP32Anpassungsfähig und universell Mikrocontroller-Dokumentationen verstehenTeil 2: Register und Blockschaltbilder Automatisierung der Prüf- und MesstechnikProgrammieren von Prüfgeräten, damit sie tun, was Sie wollen Infografik: Messen und Testen Überspannungsschutz für sicheren BetriebTransientenschutz für nicht-isolierte DC/DC-Leistungsmodule Mess- und Prüfgeräte von WihaInstallationstester und Messgeräte, auf die Sie sich verlassen können Automatisierung von Tests und Zusammenarbeit bei Testergebnissen Aus dem Leben gegriffenElektronik auf hohem Niveau EnergieloggerEnergie messen und aufzeichnen Aufgebaut: Das 4tronix M.A.R.S. Rover Kit Parkscheibe mit E-Paper DisplayEin innovativer digitaler Ersatz eCO2-Telegram-BotLuftqualitätsmessung mit Telegram-Anbindung Hinter den Kulissen von High-End-Audio im EigenbauElektor-Ingenieur Ton Giesberts im Interview über die hohe Kunst des Analogdesigns Das besondere ProjektEs gibt noch viel zu tun! RFID-Tag lesen und RFID-TürschlossProjektbeispiele aus dem Arduino-Experimentierpaket von Elektor Oszilloskop-Stromsonde für HFHochfrequenz-Strommessung leichtgemacht Nichts für Anfänger – Makerfabs 6 DOF Robot ArmMit Raspberry Pi Pico und MicroPython Generative KIWer hat das eigentlich gemacht? Hexadoku

Lis (+) (–)

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

Lis (+) (–)