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L'ESP8266 d'Espressif est une puce Wi-Fi dotée d'une pile TCP/IP complète et d'une capacité de microcontrôleur. Il a fait des vagues dans la communauté des fabricants grâce à son prix bas. Mais de nombreux développeurs étaient mécontents de la consommation électrique élevée de l'ESP8266. L'ESP32, équipé d'un coprocesseur ULP (Ultra Low Power), propose un remède à cela. Cet e-book présente un certain nombre de projets mettant en vedette ESP32 et ESP8266 et démontre leurs performances dans différentes applications. Des articles Journal lumineux défiant512 pilotes LED pour Wi-Fi dotés d'un ESP-12F Regarder avec VFD et ESP32À la précision d'Internet L'ESP32 est idéal pour la consommationProgrammation du coprocesseur ULP Adaptateur de programmation USB pour ESP8266Dans la famille Espressif, je voudrais l'ESP-01 et l'ESP-012 Émulateur DCF77 à ESP8266Des ondes radio à l'internet Thermostat sur le bureau WiFiSurveillance de la température flexible et programmable Minutes pour le thermostat du bureau WiFiSept canaux de temporisation d'une précision atomique Coûteau suisse pour microcontrôleursPlatformIO, un outil de programmation universel Station Météo NucleoInformations mises à jour sur l'affichage sur l'écran LCD AllerNotifierUne interface flexible pour les captureurs d'IdO Regarder RGBChiffreAffiche avec 7 segments et couleur ESP32 pour les utilitaires exigeantsProgrammation avec les outils d'origine Mutation de l'ESP8266Découvrons l'ESP32 avec l'EDI d'Arduino MicroPythonLe Python des petits systèmes MicroPython et PyBoardLa LED qui clignote…Au serveur web qui fait clignoter une LED Machine de surveillance pour ESP8266Domotique pour la transition énergétique WLAN compact et autonomeOu comment utiliser la puce ESP8266 sans µC ESP8266 sur la carte d'entrées/sorties AndroidLancez-vous dans la mise à jour du micrologiciel WLAN pour microcontrôleursAvec la puce ESP8266 Carte de commande Wi-Fi : le retourRelies des objets à votre ordiphone

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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.

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Cette compilation comprend des articles intégrés de l'actuel Elektor entre juillet 2012 et novembre 2014. Les documents suivants sont inclus dans le numéro de document (PDF) avec la fonction de navigation disponible et les articles sont intéressants.

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PIC-Mikrocontroller (E-book)

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From basics to flows for sensors, automation, motors, MQTT, and cloud services This book is a learning guide and a reference. Use it to learn Node-RED, Raspberry Pi Pico W, and MicroPython, and add these state-of-the-art tools to your technology toolkit. It will introduce you to virtual machines, Docker, and MySQL in support of IoT projects based on Node-RED and the Raspberry Pi Pico W. This book combines several elements into a platform that powers the development of modern Internet of Things applications. These elements are a flow-based server, a WiFi-enabled microcontroller, a high-level programming language, and a deployment technology. Combining these elements gives you the tools you need to create automation systems at any scale. From home automation to industrial automation, this book will help you get started. Node-RED is an open-source flow-based development tool that makes it easy to wire together devices, APIs, and online services. Drag and drop nodes to create a flowchart that turns on your lights at sunset or sends you an email when a sensor detects movement. Raspberry Pi Pico W is a version of the Raspberry Pi Pico with added 802.11n Wi-Fi capability. It is an ideal device for physical computing tasks and an excellent match to the Node-RED. Quick book facts Project-based learning approach. Assumes no prior knowledge of flow-based programming tools. Learn to use essential infrastructure tools in your projects, such as virtual machines, Docker, MySQL and useful web APIs such as Google Sheets and OpenWeatherMap. Dozens of mini-projects supported by photographs, wiring schematics, and source code. Get these from the book GitHub repository. Step-by-step instructions on everything. All experiments are based on the Raspberry Pi Pico W. A Wi-Fi network is required for all projects. Hardware (including the Raspberry Pi Pico W) is available as a kit. Downloads GitHub

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All-in-One AI Learning and Development Platform for Edge Intelligence This NVIDIA Jetson-based AI Starter Kit is a versatile platform for learning, development, and hands-on experimentation in Edge AI. Designed for use with the NVIDIA Jetson Orin Nano, the kit combines an 11.6-inch IPS display, an 8-megapixel pan-tilt camera, and an AI voice interaction system. It includes 30 functional modules and 38 carefully designed Python courses that progress from beginner to advanced level. The course content covers Python fundamentals, sensor technology, AI vision, and image recognition. With step-by-step practical exercises ranging from basic programming to real-world computer vision applications, this kit provides an ideal platform for students, makers, developers, and anyone looking to explore artificial intelligence and edge computing. Please note: The NVIDIA Jetson Orin Nano is not included. Features Designed for the NVIDIA Jetson Orin Nano AI voice interaction module 8 MP camera with pan-tilt control Supports object and face tracking No soldering or complex wiring required Built-in 11.6-inch IPS display 30 functional modules 38 step-by-step Python lessons I²C, UART, and GPIO expansion interfaces Portable carrying case included Specifications Main Processor Jetson Orin Nano Number of Sensors 30 Sensor Board Design Integrated sensor board, no soldering or complex wiring required Screen 11.6-inch IPS Screen Screen Resolution 1366 x 768 Camera IMX219 8MP Expansion Interfaces 2x I²C, 1x UART, 1x IO D13, 1xIO D12 Programming Environment Based on Python Number of Tutorials 38 creative tutorials Target Audience Students, teachers, hardware enthusiasts Application Scenarios Ideal for learning AI programming, Jetson Orin Nano basics Dimensions 300 x 200 x 100 mm Module List Module Quantity Temperature & Humidity Sensor 1 pcs Button 4 pcs Ultrasonic Ranging Sensor 1 pcs Light Sensor 1 pcs Linear Potentiometer 1 pcs Buzzer 1 pcs LCD 1 pcs Infrared Remote 1 pcs Relay 1 pcs NFC 1 pcs PIR Motion Sensor 1 pcs Joystick 1 pcs 4-Digital Display 1 pcs LED 1 pcs Microphone 1 pcs Speaker 1 pair Vibration Motor 1 pcs Touch Sensor 1 pcs 8x8 RGB Matrix 1 pcs Atmospheric pressure sensor 1 pcs Tilt Switch 1 pcs Stepper Motor 1 pcs Accelerometer & Gyro 1 pcs Gas Sensor (MQ2) 1 pcs Hall Sensor 1 pcs Rotary Encoder 1 pcs U-shaped photoelectric switch 1 pcs NTC 1 pcs Servo 2 pcs Monocular camera 1 pcs Included 1x Elecrow AI Starter Kit for Jetson Orin Nano 1x IR Remote Control 1x NFC Card 1x 128 GB SD Card 1x 40-pin GPIO Cable 2x 22-pin FPC Cable 2x 24-pin FPC Cable 1x Jetson DP & USB Adapter Board Not included NVIDIA Jetson Orin Nano Downloads Manual Wiki OpenClaw Install and Config Guide

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Android Open Accessory (DE) | E-book

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The FNIRSI LC1020E High-Precision LCR Meter with ESR tester is a portable and intelligent solution for testing electronic components, offering a basic accuracy of up to 0.3%. It is ideal for engineers, technicians, and makers. The device supports L/Q, C/D, and R/D measurements using both series and parallel equivalent circuit models, and features a 2.8-inch TFT color display. With preset thresholds and audio-visual alerts, it enables fast pass/fail evaluation, making it perfect for batch testing and quality control. Supporting test frequencies up to 100 kHz, it is well suited for high-frequency analysis of inductors, capacitors, and resistors. Features ±0.05% accuracy with 4.5-digit resolution Automatic R/L/C identification for fast measurements 5 test frequencies (100 Hz–100 kHz) & 3 voltage levels (0.1–0.6 V) Dual display: L/C/R/Z + X/D/Q/θ/ESR Sorting mode & bias voltage for batch testing Dual ports (3-/5-terminal) with 4-wire Kelvin support Data hold & logging for efficient workflow Compact, rechargeable (3000 mAh) – ideal for lab & field use Specifications General Test Frequency 100 Hz, 120 Hz, 1 kHz, 10 kHz, 100 kHz Basic Accuracy 0.3% Display 2.8-inch TFT LCD display Display Digits Main Parameter: 4.5 digits Secondary Parameter: 4.5 digits Measurement Parameters Main Parameters: AUTO/R/C/L/Z Secondary Parameters: X/D/Q/θ/ESR Measurement Range L: 0-100H C: 0-100mF R: 0-10M Internal Bias 0.0 V, 0.5 V Test Level 0.1 V, 0.3 V, 0.6 V Calibration Functions Open circuit calibration, Short circuit calibration Comparison Function Used to calculate the relative error between the component measurement value and the nominal value, displayed as a percentage, and provides filtering results. Nominal values and tolerance can be set, with tolerance range adjustable from 0.1% to 99.9% Function Record Checks if the measured component data meets the set nominal value and tolerance, recording the number of successful and failed measurements Test Terminal Configuration Three-terminal, Five-terminal Output Impedance 100Ω Interface USB-C (Virtual serial port) Others Language settings, Screen brightness, Sound settings, Auto power-off, Calibration settings, System information Battery 3000 mAh Lithium battery Dimensions 18.5 x 8.5 x 3.5 cm Weight 680 g Capacitance (C) Range: 1mF-100mF 100 Hz: 5% ±5 digits 1 kHz: 3% ±5 digits 10 kHz: / 100 kHz: / Range: 1uF-1mF 100 Hz: 1% ±4 digits 1 kHz: 0.5% ±5 digits 10 kHz: 2% ±5 digits 100 kHz: 3% ±4 digits Range: 1nF-1uF 100 Hz: / 1 kHz: 0.3% ±2 digits 10 kHz: 0.4% ±2 digits 100 kHz: 1% ±4 digits Range: 1pF-1nF 100 Hz: / 1 kHz: 2% ±2 digits 10 kHz: 1.5% ±2 digits 100 kHz: 2% ±4 digits Inductance (L) Range: 1H-100H 100 Hz: 2% ±5 digits 1 kHz: 2% ±5 digits 10 kHz: / 100 kHz: / Range: 1mH-1H 100 Hz: 0.4% ±5 digits 1 kHz: 0.3% ±2 digits 10 kHz: 0.4% ±3 digits 100 kHz: 2.5% ±5 digits Range: 10uH-1mH 100 Hz: 3% ±5 digits 1 kHz: 0.5% ±4 digits 10 kHz: 0.5% ±3 digits 100 kHz: 1.5% ±5 digits Range: 1uH-10uH 100 Hz: / 1 kHz: 2% ±5 digits 10 kHz: 2% ±5 digits 100 kHz: 4% ±5 digits Resistance (R) Range: 1MΩ-10MΩ 100 Hz: 5% ±4 digits 1 kHz: 3% ±3 digits 10 kHz: / 100 kHz: / Range: 1KΩ-1MΩ 100 Hz: 0.4% ±4 digits 1 kHz: 0.2% ±2 digits 10 kHz: 0.3% ±3 digits 100 kHz: 0.6% ±5 digits Range: 1Ω-1KΩ 100 Hz: 1.5% ±4 digits 1 kHz: 0.3% ±2 digits 10 kHz: 0.3% ±3 digits 100 kHz: 0.6% ±5 digits Range: 10mΩ-1Ω 100 Hz: 4% ±4 digits 1 kHz: 2% ±5 digits 10 kHz: 2% ±5 digits 100 kHz: 5% ±5 digits Included 1x FNIRSI LC1020E LCR Meter 1x Kelvin Test Clip 2x Test Leads (1x black, 1x red) 1x Shorting Plate 1x USB-C Cable 1x Manual Downloads Manual Firmware V1.1

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Die chinesische Firma Espressif Systems hat den neuen Mikrocontroller ESP32 entwickelt, das Nachfolgemodell des ESP8266-WiFi-Chips. Zusätzlich zu allen ESP8266-Funktionen stellt der ESP32 nun Bluetooth-Funk, einen größeren SRAM-Datenspeicher, mehr GPIOs, mehr Schnittstellen, einen Touch-Sensor, einen Temperatursensor, höhere CPU-Geschwindigkeit, einen CAN-Bus, ADCs mit höherer Auflösung, DACs und Sicherheitsfunktionen bereit. Der ESP32 ist Arduino-kompatibel. Dieses Buch ist eine Einführung in den ESP32-Prozessor und beschreibt die wichtigsten Hardware- und Software-Features dieses Chips. Das Hauptziel des Buches ist es, dem Leser zu vermitteln, wie man ESP32-Hard- und Software in praktischen Projekten einsetzt, vor allem durch Verwendung des hochmodernen ESP32-Entwicklungsboards. Im Buch sind viele einfache, grundlegende und weitere Projekte mittlerer Schwierigkeit auf Basis des Entwicklungsboards ESP32 DevKitC samt der beliebten Arduino-IDE und der Programmiersprache MicroPython enthalten. Die Projekte sind nach aufsteigender Komplexität organisiert.

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Dit boek gaat over de Raspberry Pi, en over het programmeren in C. De programmeertaal C en het besturingssysteem Linux (Raspbian) passen uitstekend bij elkaar. Alles wat we nodig hebben om in C te programmeren wordt meegeleverd met het besturingssysteem van de Raspberry Pi. In dit boek leert u hoe C gebruikt wordt met de Raspberry Pi, en krijgt u een overzicht van de taal. WiringPi is een softwarebibliotheek voor de Raspberry Pi waarmee C hardware-uitbreidingen kan benaderen. Die bibliotheek wordt gebruikt om sensoren uit te lezen en om extra hardware aan te sturen. U gaat experimenteren met LED’s en schakelaars, met motoren, met geluid en met sensoren voor temperatuur, luchtdruk, en luchtvochtigheid. Met een Linux-systeem kunt u een webserver maken, inclusief interactieve websites met PHP en WiringPi. Daarom is ook een beknopt overzicht van HTML en PHP in het boek opgenomen. In de voorbeelden worden sensoren via het web uitgelezen en worden apparaten bestuurd. In het laatste voorbeeld wordt een temperatuurlogger gemaakt. Die meet elk kwartier de temperatuur. Een tabel met de meetwaarden kan via het web worden uitgelezen. Alle voorbeeldprogramma’s kunnen worden gedownload van de website van Elektor.

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Modular and Scalable Control Systems Using Structured Text This book offers a structured and practical approach to modern PLC development using object-oriented principles. It is a guide for engineers, programmers, and students seeking to harness the power of object-oriented programming (OOP) in the context of industrial automation with PLCs. The content focuses on the CODESYS development environment and Structured Text (ST), both of which support modern programming techniques while maintaining compatibility with real-time automation requirements. Through step-by-step demos and instructional examples, it demonstrates how modular, reusable code can enhance development efficiency, simplify ongoing maintenance, and enable scalable and flexible control system architectures. Key topics include: Structured Text fundamentals: conditions, loops, arrays, and functions Object-oriented concepts: classes, methods, and inheritance Advanced techniques: polymorphism, interfaces, and access control Modular design with reusable components and structured program flow Implementation of finite state machines and scalable application design Built around instructional demos and clear explanations, this book helps readers develop maintainable and modern control software in the CODESYS environment using proven programming techniques.

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The XIAO ESP32-C3 board combines the ultra-compact form factor of the XIAO series with the full capabilities of the ESP32-C3 chip, including integrated Wi-Fi and Bluetooth 5.0. This book is a comprehensive, hands-on guide to getting the most out of this powerful yet affordable development board. The author takes readers from the fundamentals to advanced projects. Starting with LED blinking and dimming, the book progresses to ADC and PWM for precise sensor interfacing and PWM-controlled lighting effects before moving on to building practical, real-world applications, including: A Wi-Fi weather station with an OLED display and real-time online weather data An ultrasonic parking assistant with audible feedback A refrigerator monitoring probe with climate sensing and Deep Sleep for years of battery operation A retro Pong game controlled by a touch-free sensor A microphone-based party app that responds to claps And much more: lighting control, reaction-time measurement, mains frequency analysis, soil moisture sensing, ambient LED lighting, and 7-segment displays

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