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The Whadda 3D Xmas Tree Kit is aimed at hobbyists and beginners who are interested in soldering and electronics. With this DIY kit, you can build a festive LED Christmas tree. Features 16 flashing red LEDs Extra green and yellow LEDs provided to customise your tree Can be hung on and fed through wires Will operate on 12 V DC (e.g. in cars) Specifications Low power consumption 8 mA Power supply 9 V battery operation (not included) Dimensions 102 x 88 x 80 mm Weight 65 g Downloads Manual

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Open-Network Weather Station Mk.2Part 1: Introduction and hardware elements Artificial Intelligence for Beginners (1)Object recognition using the Maixduino board Universal Triac Control Module with ATmegaSwitch and dim a variety of loads GitHub For DummiesHow to download something from GitHub My IoT Button: A Button for the WebPart 2: Prototyping with board and cloud TMS0280 Speech SynthesizerPeculiar Parts, the series InteractiveCorrections & Updates || Questions & Answers BASIC for the ESP32/ESP8266 (2)An hourglass with the ESP8266 and Annex WiFi RDS Developer's ZoneTips & Tricks, Best Practices and Other Useful Information BalBot: a Self-Balancing RobotModern acceleration sensors ease the construction process Starting Out in Electronics (3)Easier than imagined! Small Circuits RevivalCapita Selecta from the Elektor Project Suggestions Box Tamper-Evident BoxSend data securely through postal services Elektor New Precise Nixie Clock RevisitedAn engineering bulletin for enthusiastic users new and old Practical ESP32 Multitasking (3)Software timers SigFox and the IoT (4)Setting up a dashboard Start-Up Update: The Elektor Investment Program Review: Joy-IT HD35 Electronic USB LoadTest & verify USB power performance CAN Bus + Arduino for Solar PV Cell MonitoringDetect and locate serviceable panels in large arrays Analogue Electronics Design (3)Case Study #1 — Section 3: Preamplifier response optimization and trade-offs Inexpensive E-ScooterHow does Lidl's "road approved" 300 euro E-scooter perform? Steeped in ElectronicsLead-free soldering and EU regulatory zeal Lab, Sweet LabA glimpse of The Holy Place — no unauthorized entry. Review: The PeakTech 6080 A Lab Power SupplyA neat lab PSU for not much money A Big ChallengeSafe products in the IoT era Elektor 1.2 GHz Multifunction Frequency Meter (1992/93)Crossing the magic 1 GHz border Hexadoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. ESP32 Audio Transceiver Board (Part 2)Wireless Audio Transmission Inductive AM TransmitterUses Pico’s PIO in an Arduino Sketch Navigating Wireless ProtocolsA Technical Guide Satellite Tracking Using LoRaThe TinyGS Network Bringing Space Data to Earth 4G-Compatible SMS Remote ControlRemotely Control Your Equipment High-Speed ProbeHigh-Impedance Inputs for Signals up to 200 MHz From Life’s ExperienceKafka KrakenSDR Performance Tests with the RP2350Is an Upgrade from Raspberry Pi Pico 1 to Pico 2 Worthwhile? Contact-Free E-Field Measurements (2)A Laser Vibrometer for Assessing the Membrane's Vibrations Crystals and OscillatorsImproving Crystal Accuracy Through Capacitor Selection Starting Out in ElectronicsSpecial Audio ICs Getting Started with Coding a DIY Project SPECTRAN® V6 MobileModular, Configurable Real-Time Spectrum Analyzer for Reliable Measurements Across All Frequency Ranges The Future of AI Is Forged in SiliconAn Interview with Anastasiia Nosova Autonomous Sensor Node v2.0 (System Architecture)Solar-Powered Sensing Platform with Integrated GPS, LoRaWAN, and More Precise PositioningBluetooth Channel Sounding Tested Powering the Future of Wireless CommunicationBTRY’s Ultra-Thin Solid-State Batteries Test-Driven Development in Firmware Writing Phone-Controlled Model CarWi-Fi + ESP32 + Smartphone = Remote Control 2025: An AI OdysseyAI Reasoning Models: The Chain-of-Thought Revolution Solar Charge Controller with MPP Tracking (3)Software and Commissioning Raspberry Pi Zero Web Streaming CameraUsing the ZeroTier VPN

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This book details the use of the ARM Cortex-M family of processors and the Arduino Uno in practical CAN bus based projects. Inside, it gives a detailed introduction to the architecture of the Cortex-M family whilst providing examples of popular hardware and software development kits. Using these kits helps to simplify the embedded design cycle considerably and makes it easier to develop, debug, and test a CAN bus based project. The architecture of the highly popular ARM Cortex-M processor STM32F407VGT6 is described at a high level by considering its various modules. In addition, the use of the mikroC Pro for ARM and Arduino Uno CAN bus library of functions are described in detail. This book is written for students, for practising engineers, for hobbyists, and for everyone else who may need to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C programming language will be useful in later chapters of the book, and familiarity with at least one microcontroller will be an advantage, especially if the reader intends to develop microcontroller based projects using CAN bus. The book should be useful source of reference to anyone interested in finding an answer to one or more of the following questions: What bus systems are available for the automotive industry? What are the principles of the CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how reliable is a CAN bus system? What types of CAN bus controllers are there? What are the advantages of the ARM Cortex-M microcontrollers? How can one create a CAN bus project using an ARM microcontroller? How can one create a CAN bus project using an Arduino microcontroller? How can one monitor data on the CAN bus?

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Program and build Arduino-based ham station utilities, tools, and instruments In addition to a detailed introduction to the exciting world of the Arduino microcontroller and its many variants, this book introduces you to the shields, modules, and components you can connect to the Arduino. Many of these components are discussed in detail and used in the projects included in this book to help you understand how these components can be incorporated into your own Arduino projects. Emphasis has been placed on designing and creating a wide range of amateur radio-related projects that can easily be built in just a few days. This book is written for ham radio operators and Arduino enthusiasts of all skill levels, and includes discussions about the tools, construction methods, and troubleshooting techniques used in creating amateur radio-related Arduino projects. The book teaches you how to create feature-rich Arduino-based projects, with the goal of helping you to advance beyond this book, and design and build your own ham radio Arduino projects. In addition, this book describes in detail the design, construction, programming, and operation of the following projects: CW Beacon and Foxhunt Keyer Mini Weather Station RF Probe with LED Bar Graph DTMF Tone Encoder DTMF Tone Decoder Waveform Generator Auto Power On/Off Bluetooth CW Keyer Station Power Monitor AC Current Monitor This book assumes a basic knowledge of electronics and circuit construction. Basic knowledge of how to program the Arduino using its IDE will also be beneficial.

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Inhalt Röhrentechnik Classic Three Vorverstärker: Gegentaktschaltung mit Kathodenfolger Line-Vorverstärker mit der 6C33: Vorverstärkung mit einer Leistungsröhre? Der Dirigent: Ein Vorverstärker mit aktiver Frequenzweiche Single ended Stereo-Endverstärker KR300B: Die außergewöhnliche 300B 1 Watt Wohnzimmer-Gitarrenverstärker: Röhrensound auch bei kleinen Lautstärken iGoliathSingle ended 211: Eintakt-Triodenverstärker mit 211 Wie funktioniert ein Ausgangstrafo? Lautsprecher Morel Elite 420 von Eltim Audio: Kleine aktive Zweiweg-Kombi mit DSP All Black von Henkjan Olthuis: Breitbänder CSS EL70 mit Transmission-Line HATT-SE Mk. II: Ein kompakter 2-Wege-Monitor mit Seas Excel-Chassis Silverado von Sander Sassen: 2-Weg-D´Appolitomit Seas L12 und 27TB Legno TL von Monacor: Ein FAST-System mit TL-Subwoofer, vollaktiv mit DSP und Klasse-D Wall–i von ASE: Der Bildlautsprecher zur eigenen Gestaltung SAK-PC mit Peerless/Vifa von ASE: Aktiv oder passiv, so oder so PC-optimiert Mini-Wall von Blue Planet Acoustic: An die Wand oder auf den Tisch – beides geht gut mit der kleinen Punktschallquelle. Halbleitertechnik Prelude, der Vorverstärker: Kompromisslos puristisches Design Klick an / Klick aus-Schalter: Die Elektronik für das angemessene Schalten

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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! Was genau ist eigentlich Edge-KI?Intelligenz direkt im Gerät Wir stellen vor: Edge Impulse StudioKI-Modelle für Edge-Geräte einfach erstellen und bereitstellen Keyword Spotting mit Edge ImpulseErfassen, Trainieren und Implementieren Intelligente Gerätesteuerung per Sprachbefehl mit Nordic Thingy:53 Edge-KISchlüsselbegriffe zum Verständnis von Edge-KI und Machine Learning Crashkurs: Einstieg in Edge ImpulseWie Sie mit dem Arduino Nano 33 BLE Sense ein ML-Modell erfassen, trainieren und bereitstellen Ein neues Kapitel für ArduinoVom Hobby-Board zur Edge-Computing-Plattform Erste Schritte mit Objekterkennung auf Edge-Geräten Fehlererkennung auf LeiterplattenComputer Vision mit dem Raspberry Pi KI-Skalierung für kleinste Geräte Optimierung der Energieeffizienz bei batteriebetriebenen Edge-KI-Geräten KI-ToasterWenn Edge-KI das Frühstück rettet Thundercomm Rubik Pi 3Raspberry Pi trifft Edge-KI Unternehmensführung, Embedded ML und die Edge-Revolution Vision-Language-Modelle für Edge-GeräteKaskadierte Modelle für höhere Zuverlässigkeit Lernen Sie Edge Impulse kennenFragen aus der Elektor-Community Projekt-Update #5: Energiemessgerät mit ESP32Haushaltsgeräte mit Edge-KI erkennen Bewegungserkennung mit Anomalie-ErkennungEin End-to-End-Tutorial Intelligentes Belüftungssystem: Verbindung von Schall- und UmweltdatenEin Dual-MCU-Ansatz mit Machine Learning für die automatische Steuerung von Fenstern und Jalousien Sprachsteuerung für Ohrhörer und Headsets Edge-KI: Intelligente Geräte auf dem Vormarsch

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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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An Introduction to Real and Reduced-Scale Autonomous Vehicles Want to cut through the hype and get to the core of autonomous and connected vehicles? Then this book is your clear, accessible guide to a complex and fast-moving field. Starting with Intelligent Transport Systems (ITS), it walks you through the essential foundations, including Advanced Driver Assistance Systems (ADAS) – the stepping stones to full autonomy. Explore how self-driving cars mimic human behavior through a loop of perception, analysis, decision, and action. Discover the key functions that make it possible: localization, obstacle detection, driver monitoring, cooperative awareness – and the most challenging of all, trajectory planning, across strategic, tactical, and operational levels. Will vehicles be connected? The debate is on – but the standards are already here. Learn how connectivity, infrastructure, and vehicles can work in synergy through the innovative concept of floating car data (FCD). Dive into real-world implementation: with embedded electronics account-ing for over 30% of a modern vehicle‘s cost, we unpack the architecture, coordination, and tools required to manage the complexity – brought to life with a hands-on case study. To finish, we open the door to the future: building your own 1:10 scale autonomous vehicle. No plug-and-play solutions – just the foundations for a collaborative, creative, and geek-friendly challenge. Let’s drive the future together.

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This electronic dice with 7 red LEDs rolls when the push button is released and works with a 9 V battery (not included). Downloads Manual

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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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