Résultats de la recherche pour "control OR engineering OR nl"

Dieses Buch ist eine Einführung in das hochaktuelle Gebiet der Robotik. Dabei stehen praktische Anwendungsbeispiele im Vordergrund. Neben den technischen und mechanischen Grundlagen werden die elektronischen Komponenten und Module erläutert. Eine zentrale Rolle spielt dabei der Mikrocontroller. Für Robotik-Anwendungen haben sich zwei Controller-Boards etabliert: der Arduino und der Raspberry Pi. Dem trägt dieses Buch Rechnung und beschreibt praktische Nachbauprojekte mit diesen beiden populären Boards. Getreu der Philosophie des „Learning by Doing“ können sich auch ambitionierte, nichtprofessionelle Anwender mit dem Lernmaterial des Buches einen Überblick über den neuesten Stand der Robotertechnik und KI verschaffen. Für praktische Anwendungen können sowohl komplette Bausätze als auch einzelne Komponenten verwendet werden. Dabei wurde stets darauf geachtet, dass die Hardware möglichst universell einsetzbar ist.

Lis (+) (–)

40+ Projects using Arduino, Raspberry Pi and ESP32 This book is about developing projects using the sensor-modules with Arduino Uno, Raspberry Pi and ESP32 microcontroller development systems. More than 40 different sensors types are used in various projects in the book. The book explains in simple terms and with tested and fully working example projects, how to use the sensors in your project. The projects provided in the book include the following: Changing LED brightness RGB LEDs Creating rainbow colours Magic wand Silent door alarm Dark sensor with relay Secret key Magic light cup Decoding commercial IR handsets Controlling TV channels with IT sensors Target shooting detector Shock time duration measurement Ultrasonic reverse parking Toggle lights by clapping hands Playing melody Measuring magnetic field strength Joystick musical instrument Line tracking Displaying temperature Temperature ON/OFF control Mobile phone-based Wi-Fi projects Mobile phone-based Bluetooth projects Sending data to the Cloud The projects have been organized with increasing levels of difficulty. Readers are encouraged to tackle the projects in the order given. A specially prepared sensor kit is available from Elektor. With the help of this hardware, it should be easy and fun to build the projects in this book.

Lis (+) (–)

An Introduction to RISC-V RISC-V is an Instruction Set Architecture (ISA) that is both free and open. This means that the RISC-V ISA itself does not require a licensing fee, although individual implementations may do so. The RISC-V ISA is curated by a non-profit foundation with no commercial interest in products or services that use it, and it is possible for anyone to submit contributions to the RISC-V specifications. The RISC-V ISA is suitable for applications ranging from embedded microcontrollers to supercomputers. This book will first describe the 32-bit RISC-V ISA, including both the base instruction set as well as the majority of the currently-defined extensions. The book will then describe, in detail, an open-source implementation of the ISA that is intended for embedded control applications. This implementation includes the base instruction set as well as a number of standard extensions. After the description of the CPU design is complete the design is expanded to include memory and some simple I/O. The resulting microcontroller will then be implemented in an affordable FPGA development board (available from Elektor) along with a simple software application so that the reader can investigate the finished design.

Lis (+) (–)

In 35 Projects with the Raspberry Pi and Arduino The Internet of Things (IoT) is a trend with a strong technological impulse. At home, we want to do everything on our tablets, from browsing Facebook to watching TV, from operating lights to keeping an eye on the temperature. In 35 fun projects, this book will show you how to build your own Internet of Things system. We'll cover the hardware (primarily the Raspberry Pi and Arduino) and the software that makes control via Internet possible. We employ Wi-Fi and radio links so no requirement any longer to install cabling crisscross through your home. Assuming the projects in the book are finished, you have a complete Internet of Things system that allows you to control and view of everything in your home. For example, if there's something in the mail box or the car is securely in the garage. Also, you can switch on the lights and the alarm from your couch. The crisp explanations allow the projects to be customized with ease, for example, to turn on your coffee machine or TV remotely. The index gives easy access to creative projects that can serve as an example, enabling you to do all the connecting to the IoT independently. All project software can be downloaded free of charge from the Elektor website. In this unique book, Raspberry Pi, Arduino and HTML webpages with stylesheets and JavaScript come together in clearly-described, easy-to-build projects. This special book is an essential part of your collection!

Lis (+) (–)

Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. qu’est-ce que l’edge AI ?L’IA, intégrée à l’appareil découvrez Edge Impulse StudioConcevez et déployez facilement des modèles d’IA en périphérie détection de mots-clés avec Edge ImpulseCollecter, entraîner et déployer contrôle d’appareils par commande vocale avec le Nordic Thingy:53 Termes clés pour comprendre l’edge AI et le machine learning cours accéléré : démarrez avec Edge ImpulseApprenez à collecter, entraîner et déployer un modèle ML avec l’Arduino Nano 33 BLE Sense un nouveau chapitre pour ArduinoD’une carte pour amateurs à une plateforme d’edge computing premiers pas avec la détection d’objets sur des appareils edge détection de défauts sur circuits imprimésVision par ordinateur avec Raspberry Pi adapter l’IA aux appareils les plus compacts optimiser l’efficacité énergétique des appareils edge AI alimentés sur batterie grille-pain intelligentL’IA qui reconnaît le toast parfait Thundercomm Rubik Pi 3Raspberry Pi et l’edge AI, enfin réunis Leadership, ML embarqué et révolution de l’IA en périphérie modèles vision-langage en périphérieCascade de modèles pour une meilleure fiabilité découvrez Edge ImpulseQuestions de la communauté Elektor mise à jour du projet n°5 : Compteur d’énergie ESP32Utiliser l’Edge AI pour identifier les charges domestiques reconnaissance de mouvements avec détection d’anomaliesUn tutoriel détaillé système de ventilation intelligent : fusion des données sonores et environnementalesUtilisation d’un microcontrôleur double-cœur et du ML pour l’automatisation des fenêtres et persiennes intégrer la commande vocale aux écouteurs et aux casques l'IA en périphérie : au cœur des appareils de demain

Lis (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. STM32 Wireless Innovation Design Contest Winners In-Circuit LC MeterA Prototype Study The AmpVolt Modular DC Power Meter (Part 1)Measure DC Power and Energy Consumption Up to 50 V and 5 A embedded world 2024 Repairing Electronic EquipmentTools, Techniques and Tips Starting Out in Electronics…...Continues the Opamp Theory A Simple DDS Signal GeneratorDirect Digital Synthesis in Its Purest Form Sparkplug at a GlanceA Specification for MQTT Data The CRTCPeculiar Parts, the Series Radar-Controlled LightingAutomatic Stairway Light With Human Presence Detection Digital Bubble Level and Active Stroboscopic Disc for TurntablesFine-Tune Your Record Player With This All-In-One Tool Open Source and Its Significance for the Electronics Industry (2) M12 Circular Connector With A-codingFirst Choice for Industrial Applications The Arduino-Inside Measurement LabAn 8-in-1 Test & Measurement Instrument for the Electronics Workbench Sound Card Performs Gain/Phase and Impedance AnalysisFor Frequencies From 100 Hz to 90 kHz Measuring pH Value With the Arduino UNO R4Check the Quality of Your Water From Life’s ExperiencePangpong Butt Launcher FNIRSI 1014D Digital Storage OscilloscopeGood Performance for Tight Budgets 2024: An AI OdysseyGetting Object Detection Up and Running 10 MHz Reference GeneratorHighly Accurate, With Distributor and Galvanic Isolation Project Update #2: ESP32-Based Energy MeterSome Enhancements Err-lectronicsCorrections, Updates, and Readers’ Letters An Interview with Eben Upton, CEO of Raspberry PiRaspberry Pi 5 and Beyond

Lis (+) (–)

Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR The RTL-SDR devices (V3 and V4) have gained popularity among radio amateurs because of their very low cost and rich features. A basic system may consist of a USB based RTL-SDR device (dongle) with a suitable antenna, a Raspberry Pi 5 computer, a USB based external audio input-output adapter, and software installed on the Raspberry Pi 5 computer. With such a modest setup, it is possible to receive signals from around 24 MHz to over 1.7 GHz. This book is aimed at amateur radio enthusiasts and electronic engineering students, as well as at anyone interested in learning to use the Raspberry Pi 5 to build electronic projects. The book is suitable for both beginners through experienced readers. Some knowledge of the Python programming language is required to understand and eventually modify the projects given in the book. A block diagram, a circuit diagram, and a complete Python program listing is given for each project, alongside a comprehensive description. The following popular RTL-SDR programs are discussed in detail, aided by step-by-step installation guides for practical use on a Raspberry Pi 5: SimpleFM GQRX SDR++ CubicSDR RTL-SDR Server Dump1090 FLDIGI Quick RTL_433 aldo xcwcp GPredict TWCLOCK CQRLOG klog Morse2Ascii PyQSO Welle.io Ham Clock CHIRP xastir qsstv flrig XyGrib FreeDV Qtel (EchoLink) XDX (DX-Cluster) WSJT-X The application of the Python programming language on the latest Raspberry Pi 5 platform precludes the use of the programs in the book from working on older versions of Raspberry Pi computers.

Lis (+) (–)

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

Lis (+) (–)

Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. carte émetteur-récepteur audio ESP32 (2)Transmission audio sans fil émetteur AM par inductionUtiliser les PIO du Pico dans un croquis Arduino les protocoles sans filUn guide technique suivi de satellites avec LoRaTinyGS, le réseau open source qui capte les données spatiales télécommande par sms compatible 4GContrôlez votre équipement à distance sonde haute vitesseMesure à haute impédance jusqu’à 200 MHz sur le vifKafka KrakenSDR tests de performance avec le RP2350Pico 2 : une vraie amélioration ? mesures de champ électrique sans contact (2)Un vibromètre laser pour l’analyse des vibrations de la membrane quartz et oscillateursAméliorer la précision des quartz grâce au choix des condensateurs démarrer en électroniqueCI audio originaux se lancer dans le codage d'un projet DIY SPECTRAN® V6 MobileAnalyseur de spectre temps réel modulaire et configurable pour des mesures fiables sur l’ensemble des plages de fréquences l’avenir de l’IA repose sur le siliciumEntretien avec Anastasiia Nosova nœud de capteurs autonome v2.0 (architecture du système)Plateforme de mesure autonome alimentée par énergie solaire, avec GPS intégré, LoRaWAN et plus encore positionnement précisTests du sondage de canal Bluetooth développement logiciel piloté par les tests voiture miniature contrôlée par SmartphoneWi-Fi + ESP32 + Smartphone = contrôle à distance 2025 : une odyssée de l’IAModèles de raisonnement en IA : la révolution de la chaîne de pensée contrôleur de charge solaire avec MPPT (3)Logiciel et mise en service caméra Web Raspberry Pi ZeroStreaming avec VPN ZeroTier

Lis (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. OBD2 Sensor DashboardOld Dials Sparked a Quest for Real Data OBD2: Add a Rev Counter and Gear Shift Indicator to Your CarRetro, but Super Useful LiDAR and Vision Sensors for Robotics Sensor+Test 2025 and PCIM 2025 Contact-Free E-Field Measurements (1)A Vibrating Membrane for Assessing DC Voltages or Static Electric Fields Wireless Mailbox NotifierFrom Optical Sensors to Radar, Exploring a Few Options Elektor Mini-WheelieA Self-Balancing Robot Solar CellsPeculiar Parts, the Series Getting Started With a Modern Radar SensorIs an Accurate Measurement on Your Radar? From Life’s ExperiencePaper Factory CybersecurityTough Times for Hackers Siglent Presents Next-Gen Multi-Channel OscilloscopesHigh-Performance Solutions for Modern Power and Embedded Systems Bluetooth 6.0 Brings Enhanced Distance-Ranging ApplicationsNew Version Offers Improved Device Positioning and Location Services Exploring Wireless Communication with BeagleY-AI Err-lectronicsCorrections, Updates, and Readers’ Letters Starting Out in Electronics……Concludes the Topic on Opamps A Powerful AI Code AssistantSpeed Up Your Development with Continue and Visual Studio Code Solar Charge Controller with MPPT (2)The Circuit Ultrasonic Obstacle DetectorA Simple Project to Help Those with Impaired Vision 2025: An AI OdysseyMid-Year Review Raspberry Pi Standalone MIDI Synthesizer (3)Making It Smarter and Adding a User Interface Meshtastic: A Demo ProjectAn Intelligent Mesh of LoRa Radios Analog Audio Frequency GeneratorHigh-Quality Adjustable Frequency Sine Wave Generator

Lis (+) (–)

Die Programmiersprache „Python“ hat in den letzten Jahren einen enormen Aufschwung erlebt. Nicht zuletzt haben verschiedene Einplatinensysteme wie der Raspberry Pi zu deren Bekanntheitsgrad beigetragen. Aber auch in anderen Gebieten, wie der Künstlichen Intelligenz oder dem Machine Learning, hat Python weite Verbreitung gefunden. Es ist daher naheliegend, Python bzw. die Variante „MicroPython“ auch für den Einsatz in SoCs (Systems on Chip) zu verwenden. Leistungsfähige Controller wie der ESP32 der Firma Espressif Systems bieten eine hervorragende Performance sowie Wi-Fi- und Bluetooth-Funktionalität zu einem günstigen Preis. Mit diesen Eigenschaften wurde die Maker-Szene im Sturm erobert. Im Vergleich zu anderen Controllern weist der ESP32 einen deutlich größeren Flash und SRAM-Speicher, sowie eine wesentlich höhere CPU-Geschwindigkeit auf. Aufgrund dieser Leistungsmerkmale eignet sich der Chip nicht nur für klassische C-Anwendungen, sondern insbesondere auch für die Programmierung mit MicroPython. Das vorliegende Buch führt in die Anwendung der modernen Ein-Chip-Systeme ein. Neben den technischen Hintergründen steht vor allem MicroPython selbst im Vordergrund. Nach der Einführung in die Sprache werden die erlernten Programmierkenntnisse umgehend in die Praxis umgesetzt. Die einzelnen Projekte sind sowohl für den Einsatz im Labor als auch für Alltagsanwendungen geeignet. Neben dem eigentlichen Lerneffekt steht also auch die Freude am Aufbau kompletter und nützlicher Geräte im Vordergrund. Durch die Verwendung von Laborsteckboards können Schaltungen aller Art mit geringem Aufwand realisiert werden, sodass das Austesten der selbstgebauten Geräte zum lehrreichen Vergnügen wird. Durch die verschiedenen Anwendungen wie Wetterstationen, Digitalvoltmeter, Ultraschall-Entfernungsmesser, RFID-Kartenleser oder Funktionsgeneratoren sind die vorgestellten Projekte auch für Praktika oder Fach- und Studienarbeiten in den Naturwissenschaften bzw. im Natur- und Technikunterricht bestens geeignet.

Lis (+) (–)