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With this 65 W USB-C PD power supply (with GaN technology) you can start using the FNIRSI HS-01 soldering iron straight away. Of course, you can also use this charger to fast charge your tablets and smartphones via USB-C and USB-A. Included 65 W USB-C PD GaN Power Supply (EU)

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The Unitree Go2 Controller is a dedicated remote control device designed for seamless and precise operation of the Unitree Go2 Quadruped Robot. This bimanual remote features built-in data transmission and Bluetooth modules, facilitating reliable wireless communication with the robot. It offers an ultra-long control distance of over 100 meters in open environments, ensuring flexibility in various operational scenarios. Specifications Charging Voltage 5 V Charging Current 2 A Frequency 2.4 GHz Communication Modes Data transmission module and Bluetooth Battery Capacity 2500 mAh Operating Time approx. 4.5 hours Control Distance Over 100 meters in open environments

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Schrittweise Einführung in das praktische Schaltungsdesign Der Einstieg in die Elektronik ist nicht so schwierig, wie man vielleicht denkt. Mit diesem Buch werden die wichtigsten Konzepte der Elektrotechnik und Elektronik auf spielerische Weise erkundet, indem verschiedene Experimente durchgeführt und Schaltungen simuliert werden. Es vermittelt Elektronik praxisnah, ohne in komplexen Fachjargon oder lange Berechnungen einzutauchen. Dadurch werden schon bald eigene Projekte ermöglicht. Es sind keine Vorkenntnisse in Elektronik erforderlich; lediglich einige grundlegende Algebra-Kenntnisse werden in wenigen einfachen Berechnungen verwendet. Viele getestete und funktionierende Projekte und Simulationen werden vorgestellt, um mit dem Aufbau elektronischer Schaltungen vertraut zu werden. Für problemloses Experimentieren – ohne die Gefahr, etwas zu beschädigen – werden zudem frühzeitig auch softwarebasierte Schaltungssimulationen vorgestellt. Lernziele: Konzepte von Spannung, Strom und Leistung Wechselstrom (AC) und Gleichstrom (DC) Grundlegende Lampenschaltungen mit Schaltern Passive Bauteile: Widerstände, Kondensatoren und Induktivitäten RC- und RCL-Schaltungen und Elektromagnetismus Lautsprecher, Relais, Summer und Transformatoren Aktive Bauteile: Dioden und LEDs, Bipolartransistoren und MOSFETs Transistorbasierte Schaltungen Optokoppler-Schaltungen Astabile und monostabile Multivibratoren Verwendung des 555-Timer-ICs Operationsverstärkertechnik Digitale Logik Beispiele: Verstärker, Oszillatoren, Filter und Sensoren Test- und Messwerkzeuge Mikrocontroller: Arduino Uno, ESP32, Raspberry Pi Pico und Raspberry Pi Datenblätter lesen und Auswahl von Komponenten EMV & EMI sowie Normen & Vorschriften

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Fertige und selbst aufgebaute Arduino-Knoten im TTN LoRaWAN hat sich als Kommunikationslösung im IoT hervorragend entwickelt. The Things Network (TTN) hat hierzu seinen Beitrag geleistet. Aktuell wird The Things Network auf The Things Stack Community Edition (TTS (CE)) aktualisiert. Die Cluster von TTN V2 werden gegen Ende 2021 geschlossen. Der Autor zeigt Ihnen die notwendigen Schritte, damit Sie in gewohnter Weise LoRaWAN-Knoten mit Hilfe von TTS (CE) betreiben und vielleicht auch das Netz der Gateways durch ein eigenes Gateway erweitern. Mittlerweile gibt es sogar für den mobilen Einsatz geeignete LoRaWAN-Gateways mit denen Sie über Ihr Mobiltelefon Verbindung zum TTN-Server aufbauen können. In diesem Buch werden eine Reihe kommerzieller und Arduino-basierter LoRaWAN-Knoten als auch neue, kostengünstige und für den Batteriebetrieb geeignete Hardware zum Aufbau autonomer LoRaWAN-Knoten vorgestellt. Die Registrierung von LoRaWAN-Knoten und Gateways im TTS (CE) sowie die Bereitstellung der erhobenen Daten über MQTT und die Visualisierung über Node-RED, Cayenne, Thingspeak und Datacake ermöglichen komplexe IoT-Projekte und völlig neue Anwendungen zu sehr geringen Kosten. Das vorliegende Buch versetzt Sie in die Lage, mit batteriebetriebenen Sensoren (LoRaWAN-Knoten) erfasste Daten drahtlos im Internet bereitzustellen und zu visualisieren. Sie lernen die Grundlagen für Smart-City- und IoT-Anwendungen, die beispielsweise die Messung von Luftqualität, Wasserständen, Schneehöhen, das Ermitteln von freien Parkfeldern (Smart Parking) und die intelligente Steuerung der Straßenbeleuchtung (Smart Lighting) u.a.m. ermöglichen.

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This book is all about building your own DIY home control system. It presents two innovative ways to assemble such a system: By recycling old PC hardware – possibly extending the life of an old PC, or by using Raspberry Pi. In both cases, the main system outlined in this book will consist of a computer platform, a wireless mains outlet, a controller and a USB webcam – All linked together by Linux. By using the Raspberry Pi in conjunction with Arduino (used as an advanced I/O system board), it is possible to construct a small, compact, embedded control system offering enhanced capacity for USB integration, webcams, thermal monitoring and communication with the outside world. The experience required to undertake the projects within this book are minimal exposure to PC hardware and software, the ability to surf the internet, burn a CD-ROM and assemble a small PCB.

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AVR Architecture and Programming An in-depth look at the 8-bit AVR architecture found in ATtiny and ATmega microcontrollers, mainly from a software and programming point of view. Explore the AVR architecture using C and assembly language in Microchip Studio (formerly Atmel Studio) with ATtiny microcontrollers. Learn the details of how AVR microcontrollers work internally, including the internal registers and memory map of ATtiny devices. Program ATtiny microcontrollers using an Atmel-ICE programmer/debugger, or use a cheap hobby programmer, or even an Arduino Uno as a programmer. Most code examples can be run using the Microchip Studio AVR simulator. Learn to write programs for ATtiny microcontrollers in assembly language. See how assembly language is converted to machine code instructions by the assembler program. Find out how programs written in the C programming language end up as assembly language and finally as machine code instructions. Use the Microchip Studio debugger in combination with a hardware USB programmer/debugger to test assembly and C language programs, or use the Microchip Studio AVR simulator. DIP packaged ATtiny microcontrollers are used in this volume for easy use on electronic breadboards, targeting mainly the ATtiny13(A) and ATtiny25/45/85. Learn about instruction timing and clocks in AVR microcontrollers using ATtiny devices. Be on your way to becoming an AVR expert with advanced debugging and programming skills.

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23 projects to bring your microcontroller to life! This book contains 23 special and exciting artificial intelligence machine-learning projects, for microcontroller and PC. Learn how to set up a neural network in a microcontroller, and how to make the network self-learning. Discover how you can breed robots, and how changing a fitness function results in a totally different behavior. Find out how a PC program exposes your weak spots in a game, and ruthlessly exploits them. Build a free-will robot, or have one clean your floor! Example projects from the book: A microcontroller that learns what your favourite color is. A robot wandering about the house looking for someone to play with. A bred robot program that is incapable of crossing a black line. A microcontroller that learns how to play a game until You just can't win anymore. A PC that programs a microcontroller all by itself. Complete with free software that you can download containing: All source code for the microcontroller. All sources of compiled PC programs (MS Windows). JAL programming language, with special editor and extension libraries. Robot breed program. Plus a support webpage with links, errata and FAQ. Several artificial intelligence techniques are discussed and used in projects such as expert system, neural network, subsumption, emerging behavior, genetic algorithm, cellular automata and roulette brains. Every project has clear instructions and pictures so you can start immediately. Suggestions and literature links allow you to go way beyond the scope of the book. Even after you have built all the projects contained within, this book will remain a valuable reference guide to keep next to your PC. A unique book for anyone with an interest in artificial intelligence and machine learning.

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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. STM32 Wireless Innovation Design Contest Winners : les gagnants LC mètre en circuitétude de prototype AmpVolt : module de mesure de puissance (1)mesure de la puissance CC et de la consommation énergétique jusqu'à 50 V et 5 A Embedded world 2024 réparation d'équipements électroniquesoutils, techniques et conseils démarrer en électronique...plus de théorie sur les ampli-op un générateur de signaux simplePure synthèse numérique directe Sparkplug en un coup d'œilune spécification pour les données MQTT contrôleur de tube cathodique éclairage à commande radarcomment éclairer automatiquement un escalier en détectant une présence humaine niveau à bulle électronique et disque stroboscopique actif pour platines vinylerégler votre platine vinyle avec cet outil tout-en-un explorer les défis et la valeur commerciale de l’électronique open source le connecteur circulaire codé Aune solution de choix pour les applications industrielles The Arduino-Inside Measurement Labun instrument de test et de mesure 8 en 1 pour le labo d’électronique analyseur de gain-phase avec une carte sonpour les fréquences de 100 Hz à 90 kHz mesure du pH avec l'Arduino UNO R4vérifier la qualité de l'eau sur le vifdouble détente oscilloscope numérique FNIRSI 1014Dde bonnes performances pour des budgets serrés 2024 : l'odyssée de l'IAdétection d'objets générateur de référence 10 MHztrès précis, avec distributeur et isolation galvanique mise à jour #2 : compteur d'énergie basé sur l'ESP32quelques améliorations projet 2.0corrections, Mises à jour, et Courrier des lecteurs entretien avec Eben Upton, PDG de Raspberry PiRaspberry Pi 5 et au delà

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Mein eigener RISC-V-ControllerErste Schritte mit dem NEORV32 RISC-V Softcore für preiswerte FPGAs Wie man den Seriellen Plotter der Arduino-IDE nutztEinfaches Plotten von Kurven mit Arduino CLUE - ein Clou von Adafruit?Angriff auf den micro:bit Puffer-Board für den Raspberry Pi 400Schützen Sie die I/Os! FrühjahrskollektionInteressante Raspberry Pi RP2040 Boards Ein DIY-Handbuch zu elektronischer Sicherheit und E-SpionageSRAM erhitzt oder tiefgefroren Identifizierung von BauteilenTipps & Tricks, Best Practices und andere nützliche Informationen Ein Touch-Schalter ohne TouchKonzeption und Umsetzung eines berührungslosen Lichtschalters Aller Anfang...ist gar nicht schwer: Anpassen und Transformieren Was gibt's Neues in der Embedded-Entwicklung?Rust und die Aktualisierung von IoT-Implementierungen Infografiken Elektor Industry Neue Wege für Industrie und Automobilbranche mit 5G DrehspulrelaisBemerkenswerte Bauteile Zutritt für Unbefugte verbotenAlles dreht sich um die Werkzeuge... Die Neuronen in neuronalen Netzen verstehenTeil 4: Eingebettete Neuronen Magnetische Levitation auf die sehr sehr einfache ArtDie dritte und kompakteste Version SPS-Programmierung mit dem Raspberry Pi und dem OpenPLC-ProjektVisualisierung von SPS-Programmen mit AdvancedHMI Aus dem Leben gegriffenEinpacken und weg damit Unter dem RadarUnbekannte Mikrocontroller, über die Sie Bescheid wissen sollten Drahtloses Monitoring und DebuggenSerielle Funk-Schnittstelle für Arduino, ESP32 und Co. Tragbares Temperatur- und FeuchtemessgerätGebaut mit vorgefertigten Modulen Lithium-Akkus reparierenGeld sparen + mehr Power! GUIs mit PythonMeme-Generator Die drei FragezeichenWarum? Was? Wer? Hexadoku

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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

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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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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. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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