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35 Touch Develop & MicroPython Projects The BBC micro:bit is a credit sized computer based on a highly popular and high performance ARM processor. The device is designed by a group of 29 partners for use in computer education in the UK and will be given free of charge to every secondary school student in the UK. The device is based on the Cortex-M0 processor and it measures 4 x 5 cm. It includes several important sensors and modules such as an accelerometer, magnetometer, 25 LEDs, 2 programmable push-button switches, Bluetooth connectivity, micro USB socket, 5 ring type connectors, and a 23-pin edge connector. The device can be powered from its micro USB port by connecting it to a PC, or two external AAA type batteries can be used. This book is about the use of the BBC micro:bit computer in practical projects. The BBC micro:bit computer can be programmed using several different programming languages, such as Microsoft Block Editor, Microsoft Touch Develop, MicroPython, and JavaScript. The book makes a brief introduction to the Touch Develop programming language and the MicroPython programming language. It then gives 35 example working and tested projects using these language. Readers who learn to program in Touch Develop and MicroPython should find it very easy to program using the Block Editor or any other languages. The following are given for each project: Title of the project Description of the project Aim of the project Touch Develop and MicroPython program listings Complete program listings are given for each project. In addition, working principles of the projects are described briefly in each section. Readers are encouraged to go through the projects in the order given in the book.

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De Siglent SSA3032X Plus spectrum analyzer is een krachtig en flexibel hulpmiddel voor RF signaal- en netwerkanalyse. Met een frequentiebereik van 3,2 GHz levert de analyzer betrouwbare automatische metingen en meerdere werkingsmodi: spectrum analyzer als basisfunctie, en optionele functies als RF-vermogensmeting, vectorsignaal-modulatieanalyse, reflectiemeting en EMI-test.Toepassingen zijn onder meer monitoring/evaluatie van zendsignalen, metingen op locatie, S-parameter meting, analoge/digitale modulatie analyse, EMI pre-compliance test, onderzoek en ontwikkeling, onderwijs, productie en onderhoud.Kenmerken Spectrum analyzer frequentiebereik van 9 kHz tot 3,2 GHz –161 dBm/Hz Displayed Average Noise Level (typ.) –98 dBc/Hz. @ 10 kHz Offset Phase Noise (1 GHz, typ.) Level Measurement Uncertainty< 0,7 dB (typ.) 1 Hz minimale Resolution Bandwidth (RBW) Voorversterker (standaard) Tracking generator (inbegrepen, gratis) Analoge en digitale signaalmodulatie-analyse modus (optioneel) Reflectie meetkit (optioneel) EMI filter en quasi-peak detector kit (optioneel) Advanced Measurement Kit (optioneel) 10,1-inch multi-touch scherm, muis en toetsenbord ondersteund Webbrowser afstandsbediening op pc en mobiele terminals, en bediening via files Specificaties SSA3015X Plus SSA3021X Plus SSA3032X Plus SSA3075X Plus Frequentiebereik 9 kHz ~ 1,5 GHz 9 kHz ~ 2,1 GHz 9 kHz ~ 3,2 GHz 9 kHz ~ 7,5 GHz Resolutie bandbreedte 1 Hz ~ 1 MHz 1 Hz ~ 1 MHz 1 Hz ~ 1 MHz 1 Hz ~ 3 MHz Phase Noise <–99 dBc/Hz <–98 dBc/Hz <–98 dBc/Hz <–98 dBc/Hz Total Amplitude Accuracy < 1,2 dB < 0,7 dB < 0,7 dB < 0,7 dB Display Average Noise Level –156 dBm/Hz –161 dBm/Hz –161 dBm/Hz –165 dBm/Hz Inbegrepen Siglent SSA3032X Plus spectrum analyzer USB kabel Netsnoer Quick Start gids Downloads Datasheet Manual Documentation Firmware

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De Unitree Go2 D1 Servo Robotarm is een hoogwaardige robotarm met 6-DOF, speciaal ontworpen voor naadloze integratie met de Unitree Go2 Quadruped Robot. Ontworpen voor flexibiliteit en precisie, is het een ideaal hulpmiddel voor onderwijs, onderzoek, automatisering en geavanceerde robotica-ontwikkeling. Met zes volledig scharnierende gewrichten en een geïntegreerde grijper biedt de D1 echte zesassige beweging en uitzonderlijke bewegingsvrijheid. Met ondersteuning voor positie-, snelheids- en krachtregeling maakt hij nauwkeurige bediening mogelijk bij een breed scala aan taken – van implementatie in de praktijk tot experimentele leeromgevingen. De arm is gemaakt van lichtgewicht aluminiumlegering en weegt slechts 2,37 kg, terwijl een bereik van 670 mm behouden blijft. Deze balans tussen kracht en wendbaarheid maakt hem uitermate geschikt voor mobiele toepassingen, zonder dat dit ten koste gaat van de stabiliteit of het bereik. Dankzij de dual-level interface-architectuur ondersteunt de D1 zowel low-level motorische commando's als high-level gedragsprogrammering. Dit geeft ontwikkelaars, docenten en onderzoekers volledige controle, of ze nu bewegingssequenties verfijnen of complexe robotworkflows bouwen. Compatibel met externe componenten zoals camera's of mobiele robotchassis, opent de Unitree D1 de deur naar een breed scala aan toepassingen. Of het nu gaat om autonome objectmanipulatie, AI-training of praktische robotica-educatie, de D1 transformeert elke omgeving in een dynamisch en interactief innovatieplatform. Specificaties DoF 6 assen + 1 grijper Laadvermogen 500 g Armbereik 550 mm (grijper niet inbegrepen)670 mm (grijper inbegrepen) Interfaces DC5.5-2.1 (voeding)RJ45 (communicatie)USB-C (debuggen seriële poort) Motortype Busservo Vermogen 60 W Gewicht 2,37 kg Rotatiebereik van de gewrichten J1: ±135°J2: ±90°J3: ±90°J4: ±135°J5: ±90°J6: ±135°

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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. le système de sécurité IA AlertAlfredBasé sur un Raspberry Pi 5 et le module Hailo 8L l'IA en développement électroniqueune mise à jour après seulement un an intro aux algorithmes de l'IAPrompt: Quels algorithmes implémentent chaque outil d'IA ? ordinateurs monocartes pour les projets d'IAAperçu et contexte des données de capteurs aux modèles d'apprentissage automatiqueDétection de gestes avec Edge Impulse et un accéléromètre créez un neurone d’intégrationet-tir avec fuiteIntelligence artificielle sans logiciel ChatGPT pour la conception électroniqueGPT-4o fait-il mieux ? intégrer l'IA périphérique avec l'ESP32-P4 fonctions vocales sur le Raspberry Pi ZeroWhen Overclocking Gives Freedom of Speech le rôle croissant de l'IA périphériqueUne tendance qui structure l'avenir exploiter la puissance de l'IA en périphérieUn entretien avec François de Rochebouët de STMicroelectronics horloge en VHDL réalisée avec ChatGPT l'impact réel de l'IASayash Kapoor à propos des "faux miracles de l'IA" et plus encore les dernières nouveautés de BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay et BeagleConnect Freedom détection des moustiques : avec Arduino Nicla Vision et des données open source l'IA d’aujourd'hui et de demain : les idées d'Espressif, d'Arduino et de SparkFun chronologie de l'intelligence artificielle BeagleY-AIThe Latest SBC for AI Applications lumière sur l’IALes perspectives de la communauté Elektor vision artificielle avec OpenMVCréer un détecteur de canettes de soda conversation avec l'esprit numériqueChatGPT vs Gemini "Skilling Me Softley with This Bot?"L'essor de l'IA dans le secteur électronique freiné par une absence de précision sociale ?

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The AlertAlfred AI Security SystemPowered by a Raspberry Pi 5 and the Hailo 8L Module AI in Electronics DevelopmentAn Update After Only One Year Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Single-Board Computers for Artificial Intelligence ProjectsBackground and Overview From Sensor Data to Machine Learning ModelsGesture Detection with an Accelerometer and Edge Impulse Build a Leaky Integrate-and-Fire Spiking NeuronArtificial Intelligence Without Software ChatGPT for Electronic DesignDoes GPT-4o Do It Any Better? Bringing AI to the Edge with ESP32-P4 Exploring Speech Functions on Raspberry Pi ZeroWhen Overclocking Gives Freedom of Speech The Growing Role of Edge AIA Trend Shaping the Future Unlocking the Power of Edge AIA Conversation with François de Rochebouët of STMicroelectronics A VHDL Clock Made with ChatGPT AI’s Real ImpactSayash Kapoor on “AI Snake Oil” and More The Latest Stuff From BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay and BeagleConnect Freedom Mosquito Detection Using Open Datasets and Arduino Nicla Vision AI Today and Tomorrow: Insights from Espressif, Arduino, and SparkFun Artificial Intelligence Timeline BeagleY-AIThe Latest SBC for AI Applications AI in FocusPerspectives from the Elektor Community Machine Vision with OpenMVCreate a Soda Can Detector A Conversation with the Digital MindChatGPT vs Gemini Skilling Me Softly with This Bot?Is the AI Revolution in the Electronic Field Failing Due to a Lack of Social Precision?

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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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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

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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! MultiRF-EntwicklungsboardEine Plattform zur Evaluierung drahtloser Protokolle für kurze und lange Reichweiten Elektor wird 65Elektronik im Wandel seit 1961 WLAN-basierte Personenerkennung mit dem ESP32Wenn der Router zum Bewegungsmelder wird Drahtlose WaagenVier kleine Waagen = eine große Waage Walter, das kompakte IoT-ModulESP32-S3-SoC, LTE-M/NB-IoT-5G-Modem und GNSS-Receiver 3- und 4-Draht-RTD-Sensoren konditionierenMit Vollbereichsabgleich und Kabelkompensation Drei in einem: 2-Kanal-Oszilloskop/Generator/MultimeterEin Test des Fnirsi 2D15P electronica Fast Forward 2026 für Start-ups und Industriepartner EcologgingEine modulare IoT-Messstation für Umweltdaten Drahtlos-Anbindung für MedizingeräteImmer am Puls mit Bluetooth LE AudiotronicsBrummunterdrückung Mehr Effizienz in der Landwirtschaft durch KI-Modelle und SensorenSteigerung der landwirtschaftlichen Produktivität OPC UA – ein ÜberblickPlattformunabhängiger Datenaustausch Redox-Meter Instrumentenverstärker für Physik- und Engineering-Experimente Aktive differentielle Audio-FilterFür professionelle Frequenzweichen und mehr Elektor-Community-Tipps zu IoT und Sensoren Telegram-gesteuerter WarmwasserbereiterEine Lösung mit ESP32 und Arduino-Software 2026: Eine KI-OdysseeWas wurde eigentlich aus der Fuzzy-Logik? Projekt 2.0 Alarmsignalinjektor + PowerTools zum Suchen verdeckt verlegter Leitungen

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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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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Project Update: ESP32-Based Energy MeterNext Steps in Prototyping Optimizing Balcony Power PlantsConsiderations, Interesting Facts, and Calculations ESP32 With OpenDTU for Balcony Power PlantsRead Data from Small Inverters Via MCUs Variable Linear Power Supply Ensemble0…50 V / 0…2 A + Dual Symmetrical Supply Energy Storage Today and TomorrowAn Interview With Simon Engelke 2024: An AI OdysseyIt’s Not Letting Up Bluetooth LE on the STM32A Way to Read Measurements Remotely Human-Centric Smart Kitchen Grocery Container MAUI: Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice ChatMagLevThe AI Way of Levitation Simple PV Power RegulatorBuild Your First, Fully Functional PV Energy Management System Cold-Cathode DevicesPeculiar Parts, the Series From Life’s ExperienceNostalgia Starting Out in Electronics……Looking at FETs CAN Bus Tutorial for the Arduino UNO R4Two UNO R4s Hop on the Bus! Infographics: Power & Energy Comprehensive Design and Development SupportArrow Engineering Services Comparing Power Density and Power Efficiency Aluminium Electrolytic CapacitorsInterference Potential in Audio Technology USB Test and MeasurementThe Fnirsi FNB58 The Pixel Pump Pick-and-Place ToolSimplifying Manual SMT Board Assembly HomeLab ToursNot So Long Ago, in a Far-Away Country... “In the world of ethics in electronics, even small steps can make a significant impact.” Ethics in ElectronicsThe OECD Guidelines and Germany’s Supply Chain Due Diligence Act Chadèche: Smart Ni-MH Charger/DischargerA Reader’s Project in Brief Err-lectronicsCorrections, Updates and Readers’ Letters

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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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Secure, Modular, Open-Source and Self-Sufficient Ever since the Raspberry Pi was introduced, it has been used by enthusiasts to automate their homes. The Raspberry Pi is a powerful computer in a small package, with lots of interfacing options to control various devices. This book shows you how you can automate your home with a Raspberry Pi. You’ll learn how to use various wireless protocols for home automation, such as Bluetooth, 433.92 MHz radio waves, Z-Wave, and Zigbee. Soon you’ll automate your home with Python, Node-RED, and Home Assistant, and you’ll even be able to speak to your home automation system. All this is done securely, with a modular system, completely open-source, without relying on third-party services. You’re in control of your home, and no one else. At the end of this book, you can install and configure your Raspberry Pi as a highly flexible home automation gateway for protocols of your choice, and link various services with MQTT to make it your own system. This DIY (do it yourself) approach is a bit more laborious than just installing an off-the-shelf home automation system, but in the process, you can learn a lot, and in the end, you know exactly what’s running your house and how to tweak it. This is why you were interested in the Raspberry Pi in the first place, right? Turn your Raspberry Pi into a reliable gateway for various home automation protocols. Make your home automation setup reproducible with Docker Compose. Secure all your network communication with TLS. Create a video surveillance system for your home. Automate your home with Python, Node-RED, Home Assistant and AppDaemon. Securely access your home automation dashboard from remote locations. Use fully offline voice commands in your own language. Download the software and view the errata for the book on GitHub.

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