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The Siglent SSA3075X Plus spectrum analyzer is a powerful and flexible tool for RF signal and network analysis. With a frequency range of 7.5 GHz, the analyzer delivers reliable automatic measurements and multiple modes of operation: spectrum analyzer the base, optional functions include RF power measurement, vector signal modulation analysis, reflection measurement, and EMI test. Applications include broadcast monitoring/evaluation, site surveying, S-parameter measurement, analog/digital modulation analysis, EMI pre-compliance test, research and development, education, production, and maintenance. Features Spectrum Analyzer Frequency Range from 9 kHz to 7.5 GHz –165 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 Minimum Resolution Bandwidth (RBW) Preamplifier (Std.) Tracking Generator (incl. free of charge) Analog and Digital Signal Modulation Analysis Mode (opt.) Reflection Measurement Kit (opt.) EMI Filter and Quasi-Peak Detector Kit (opt.) Advanced Measurement Kit (opt.) 10.1-inch Multi-Touch Screen , Mouse and Keyboard supported Web Browser Remote Control on PC and Mobile Terminals and File Operation Specifications SSA3015X Plus SSA3021X Plus SSA3032X Plus SSA3075X Plus Frequency Range 9 kHz ~ 1.5 GHz 9 kHz ~ 2.1 GHz 9 kHz ~ 3.2 GHz 9 kHz ~ 7.5 GHz Resolution Bandwidth 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 Included Siglent SSA3075X Plus spectrum analyzer USB cable Power cord Quick start guide Downloads Datasheet Manual Documentation Firmware

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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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Hands-on in more than 50 projects STM32 Nucleo family of processors are manufactured by STMicroelectronics. These are low-cost ARM microcontroller development boards. This book is about developing projects using the popular STM32CubeIDE software with the Nucleo-L476RG development board. In the early Chapters of the book the architecture of the Nucleo family is briefly described. The book covers many projects using most features of the Nucleo-L476RG development board where the full software listings for the STM32CubeIDE are given for each project together with extensive descriptions. The projects range from simple flashing LEDs to more complex projects using modules, devices, and libraries such as GPIO, ADC, DAC, I²C, SPI, LCD, DMA, analogue inputs, power management, X-CUBE-MEMS1 library, DEBUGGING, and others. In addition, several projects are given using the popular Nucleo Expansion Boards. These Expansion Boards plug on top of the Nucleo development boards and provide sensors, relays, accelerometers, gyroscopes, Wi-Fi, and many others. Using an expansion board together with the X-CUBE-MEMS1 library simplifies the task of project development considerably. All the projects in the book have been tested and are working. The following sub-headings are given for each project: Project Title, Description, Aim, Block Diagram, Circuit Diagram, and Program Listing for the STM32CubeIDE. In this book you will learn about STM32 microcontroller architecture; the Nucleo-L476RG development board in projects using the STM32CubeIDE integrated software development tool; external and internal interrupts and DMA; DEBUG, a program developed using the STM32CubeIDE; the MCU in Sleep, Stop, and in Standby modes; Nucleo Expansion Boards with the Nucleo development boards. What you need a PC with Internet connection and a USB port; STM32CubeIDE software (available at STMicroelectronics website free of charge) the project source files, available from the book’s webpage hosted by Elektor; Nucleo-L476RG development board; simple electronic devices such as LEDs, temperature sensor, I²C and SPI chips, and a few more; Nucleo Expansion Boards (optional).

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Knowledge for All! Super Servo TesterTest Up to Four Servos Stand-Alone or In-System Analog Signals and MicrocontrollersADCs, DACs, Current Measurement, and More embedded world 2023 Sub-Nyquist Sampling in PracticeReliably Capturing Higher Frequencies Using Subsampling Android Smartphone Here, ESP32 There?Practical Pproject Using the Android Wi-Fi API Active 1-kHz Filter for Distortion MeasurementBetter Measurements Through Optimization of the Measurement Signal Starting Out in Electronics......Multivibrating Cheerfully Further! Err-lectronicsCorrections, Updates and Readers’ Letters The New I3C ProtocolA Worthy Successor to I²C, or Just More Hot Air? BlueRC: IR Remote Control with Smartphone and ESP32Adaptive and Universal Microcontroller Documentation Explained (Part 2)Registers and Block Diagrams Automating Test and MeasurementProgramming Test Equipment to Do What You Want Infographics: Test and Measurement Overvoltage Protection for Safe OperationTransient Protection for Non-Isolated DC/DC Power Modules Wiha Measuring EquipmentReliable Electrical Testers and Meters Automating Testing and Collaborating on Test Results From Life’s ExperienceHigh-Level Electronics Energy LoggerMeasuring and Recording Power Consumption Assembling the 4tronix M.A.R.S. Rover Kit Parking Disk with E-Paper DisplayAn Innovative Digital Replacement eCO₂ Telegram botAir-Quality Measurement with Telegram Notification Behind the Scenes of DIY High-End AudioElektor’s Ton Giesberts Interviewed on the Fine Art of Analog Design HomeLab ToursWork in Progress... RFID Tag Reading and RFID Door LockSample Projects from the Elektor Arduino Experimenting Bundle Oscilloscope Current Probe for RFRF Current Measurements Made Easy Not for the Faint-Hearted: Robot Arm KitWith Raspberry Pi Pico and MicroPython Generative AIWho Made This Anyway? Hexadoku

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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! Digitale Last für HochstromtestsVon der Notwendigkeit zur Innovation GesangsentfernerInstant-Karaoke-Schaltung Audio-Eingangswahlschalter mit VerstärkungseinstellungSchaltet von Mikrofon- auf Line-Eingänge um Ladeschaltung für LIR2032Optimierte Ladung = längere Haltbarkeit Touch-Sensing leicht gemachtEin DIY-Leitfaden für jeden Mikrocontroller Universeller Infrarot-FernschalterEin neues Leben für alte Fernbedienungen Mikrocontroller-gesteuerte MuhdoseBovine Klänge mit einem Mikrocontroller erzeugen USB-Batterieschnittstelle Stromversorgung von Low-Power-Geräten mit PowerbanksEine Stay-Alive-Lösung Kleiner Klasse-A-Audioverstärker mit StromausgangLautsprecher mit Strom statt mit Spannung ansteuern Pseudosymmetrisches ModulHohes Gleichtaktunterdrückungsverhältnis trotz asymmetrischen Audioverbindungen Automatisches Ladegerät für Ni-MH-ZellenFüllen Sie alle Ihre Akkupacks in einem Rutsch auf! Sicherheit durch thyristor-basierte Strombegrenzung Fingerabdruck-Sensor-SchalterEin nützliches Gerät zum Identitätsnachweis 3-A-GleichspannungswandlerBessere Nutzung Ihrer Festspannungsquellen Innovationen aus dem Arduino-Project-HubNeue Projekte aus der Community Fernkontrolle eines BoilersSpannungs- und Stromdetektion für Netzspannungsleitungen Abschwächer für AudiosignaleTeil 1. Einstellbar über Jumper Autobatterie-Ladegerät aufgemotztTeil 1. Wiederverwenden statt wegwerfen! Eine Platine für „The Blue One“Platine für Alps-Motorpotentiometer mit Rückmeldung 50-Hz-Referenz aus 60-Hz-NetzspannungWie man 50-Hz-Elektronik in 60-Hz-Umgebungen verwendet Digitale IsolatorenGalvanische Trennung einfach realisieren Kompakter 12-W-Hi-Fi-MonoverstärkerKlein, aber leistungsstark LM386-Rampengenerator DrehstromgeneratorMit Raspberry Pi Pico Türöffner für musikalisch Begabte Elektor-Klassiker: Surf-SynthesizerMeereswassersporthintergrundgeräuschgenerator (Mwsh3g) Autobatterie-Ladegerät aufgemotztTeil 2. Ladesteuerung analog und digital LampenstromüberwachungMit Raspberry Pi Pico Infrarot-Telegraphie Fnirsi SWM-10Reparatur von Batteriepacks mit tragbarem intelligentem Punktschweißgerät Stereo-Audio-Codec für ESP32 und Co.Keine Angst vor Audio-Messtechnik Die Kunst des LötensLötzinn-Techniken für einwandfreie Verbindungen Abschwächer für AudiosignaleTeil 2. Umschalten per Relais USB-C-PowerStrom aus USB-C-Netzteilen beziehen Drei Schaltungen mit zwei und drei Zähler-ICs4017-ICs im Zusammenspiel Aktive Bauelemente – Die Diode Timer für extrem lange VerzögerungenEinstellen und vergessen! Klinke rein, Klinke rausEine nützlicher Anschluss für Audioschaltungen ESP32 mit nur einer Lithium-Zelle versorgen Hexadoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. DIY Solar Energy StorageBuild Your Own Energy Store for a PV Solar Array Solar Module SimulatorA Solution for Testing and Optimizing MPP Trackers and Inverters The STM32 Edge AI ContestExplore the new STM32N6 and Compete for a Share of €5,000 in Prizes! Widening the BandgapWhy There Is So Much Interest in SiC and GaN Notebook Power BankExtend the Life of Your Aged Laptop Medical RobotsOvercoming Technical and Regulatory Hurdles Frost Guard for Fruit Plants With Temperature Data Logger The Analog ThingThe Arduino of Analog Computing? Energy Saving Relay DriverSaves 90% of Relay Drive Power Improving the ET5410A+ DC loadKeep Cool and Be Quiet, Please electronica 2024 in Review Electromagnetic CompatibilityEMC in a Nutshell! Starting Out in Electronics……Filters Actively Reducing Power Dissipation With Dropping CapacitorsA Clever Use of Capacitive Reactance The Affordable MCP4725 12-Bit Digital-to-Analog ConverterAn EEPROM Feature Enables Safe Switch-On Behavior Fnirsi LCR-ST1 Smart LCR SMD Tweezers Raspberry Pi-Based Private Test & Measurement LabFirst Things First: The ADC Electronic Load ResistorAn Out-of-the-Box Project 2025: An AI OdysseySome Projects to See in the New Year AmpVolt v2.0 Project Update100 Amps and Beyond! Err-lectronicsCorrections, Updates, and Readers’ Letters Unveiling Ethical TransparencyInsights from Ethics in Electronics’s 2024 Survey Elektor Audio DSP FX Processor Board (2)Creating Applications

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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. stockage de l’énergieRéalisez votre propre stockage d’énergie pour réseau de panneaux photovoltaïques simulateur de panneau solaireUne solution pour tester et optimiser les trackers MPP et les onduleurs le concours STM32 Edge AIDécouvrez le STM32N6 et gagnez les 5000 € du concours ! Matériaux à large bande interditePourquoi y a-t-il un tel intérêt pour le SiC et le GaN ? batterie externe pour ordinateur portableProlongez la durée de vie de votre vieil ordinateur portable robots médicauxSurmonter les obstacles techniques et réglementaires prévention du gel pour les vergersavec enregistrement des températures The Analog ThingL'Arduino de l’ordinateur analogique ? commande de relais à faible consommation d'énergieÉconomiser 90% de la puissance de commande amélioration de la charge DC ET5410A+pour un meilleur refroidissement et moins de bruit electronica 2024 : rétrospective compatibilité électromagnétiqueLa CEM en quelques mots ! démarrer en électronique......Filtres actifs réduisez les pertes des chutes de tension avec des condensateursprofitez astucieusement de la réactance capacitive le MCP4725 : un convertisseur numérique-analogique 12 bits pas cheravec une fonction EEPROM pour un comportement sûr au démarrage la pince de test intelligente Fnirsi LCR-ST1 pour CMS labo de test et de mesure personnel basé sur Raspberry PiPour commencer : l'ADC une charge électroniqueUn projet prêt à l'emploi 2025 : l'odyssée de l'IAQuelques projets pour le nouvel an AmpVolt v2.0 : mise à jour100 A et plus ! projet 2.0Corrections, mises à jour et courrier des lecteurs transparence éthiqueCe que révèle l’enquête réalisée par Ethics in Electronics carte Elektor Audio DSP FX Processor (2)Création d'applications

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Features Data-logger & Multimeter & Thermometer 3 (5/6) digits True RMS test supported BLE 4.0 wireless transmission, more stable, less power consumption Chart and Diagram mode, to analyze your data Supports NCV Voice Broadcast simplifies testing Flashlight function Built-in offline recording function Supports Android, iOS Included Test leads K-type thermocouple 9 V Battery Bolt driver Crocodile clip Quick guide

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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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The Siglent SSA3015X Plus spectrum analyzer is a powerful and flexible tool for RF signal and network analysis. With a frequency range of 1.5 GHz, the analyzer delivers reliable automatic measurements and multiple modes of operation: spectrum analyzer the base, optional functions include RF power measurement, vector signal modulation analysis, reflection measurement, and EMI test. Applications include broadcast monitoring/evaluation, site surveying, S-parameter measurement, analog/digital modulation analysis, EMI pre-compliance test, research and development, education, production, and maintenance. Features Spectrum Analyzer Frequency Range from 9 kHz to 1.5 GHz –156 dBm/Hz Displayed Average Noise Level (Typ.) –99 dBc/Hz. @ 10 kHz Offset Phase Noise (1 GHz, Typ.) Level Measurement Uncertainty <1.2 dB (Typ.) 1 Hz Minimum Resolution Bandwidth (RBW) Preamplifier (Std.) Tracking Generator (incl. free of charge) Analog and Digital Signal Modulation Analysis Mode (opt.) Reflection Measurement Kit (opt.) EMI Filter and Quasi-Peak Detector Kit (opt.) Advanced Measurement Kit (opt.) 10.1-inch Multi-Touch Screen , Mouse and Keyboard supported Web Browser Remote Control on PC and Mobile Terminals and File Operation Specifications SSA3015X Plus SSA3021X Plus SSA3032X Plus SSA3075X Plus Frequency Range 9 kHz ~ 1.5 GHz 9 kHz ~ 2.1 GHz 9 kHz ~ 3.2 GHz 9 kHz ~ 7.5 GHz Resolution Bandwidth 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 Included Siglent SSA3015X Plus spectrum analyzer USB cable Power cord Quick start guide Downloads Datasheet Manual Documentation Firmware

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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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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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