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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. mise à jour du projet : compteur d'énergie basé sur l'ESP32Prochaines étapes du prototypage optimisation des centrales solaires sur balconConsidérations, faits intéressants et calculs ESP32 avec OpenDTU pour les centrales sur balconRelever les données des petits onduleurs avec des microcontrôleurs alimentation linéaire variable EnsembleAlimentation 0-50 V / 0-2 A + alim symétrique double le stockage d?énergie aujourd?hui et dans le futurinterview de Simon Engelke 2024 : l'Odyssée de l'IAsans répit Bluetooth LE sur le STM32Un moyen de lire les mesures à distance boîte de conservation intelligente centrée sur l'être humain MAUI : programmation pour PC, tablettes et smartphonesle nouveau framework en théorie et en pratique ChatMagLevlévitation magnétique ? version IA régulateur de puissance PV simpleRéalisez votre premier système de gestion de l'énergie photovoltaïque entièrement fonctionnel les composants à cathode froide sur le vifnostalgie démarrer en électronique?Les FET tutoriel bus CAN pour l'Arduino UNO R4deux UNO R4 connectés au bus infographie assistance complète à la conception et au développementles services d?ingénierie d?Arrow comparatif entre densité de puissance et rendement énergétique condensateurs électrolytiques en aluminiumsources potentielles de distorsions en technologie audio test et mesure USBle Fnirsi FNB58 l'outil Pick-and-Place manuel Pixel Pumpsimplifier l'assemblage manuel des cartes CMS visite à domicilenaguère, dans un pays lointain? « Dans le monde de l'éthique en électronique, même les petits pas peuvent avoir un impact significatif. » éthique en électroniqueles lignes directrices de l'OCDE et la loi allemande sur le devoir de diligence dans la chaîne d'approvisionnement Chadèche : chargeur/déchargeur intelligent pour accus NiMhrésumé d?un projet de lecteur projet 2.0Corrections, mises à jour et courriers des lecteurs

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The Siglent SSA3021X Plus spectrum analyzer is a powerful and flexible tool for RF signal and network analysis. With a frequency range of 2.1 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 2.1 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 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 SSA3021X Plus spectrum analyzer USB cable Power cord Quick start guide Downloads Datasheet Manual Documentation Firmware

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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. L'architecture de processeur open-source RISC-V16 cartes et MCU à connaître un lecteur audio avec égaliseur basé sur un FPGAMixage audio numérique avec un Arduino MKR Vidor 4000 tête laser pour l’horloge de sable basé sur Raspberry Pi PicoDessiner avec la lumière participez au concours STM32 Edge AI système de contrôle environnemental multi-capteurs pour les plantesMesure sans fil de l'approvisionnement en eau et de la luminosité porte automatique contrôlée par l'IA et MaixduinoReconnaissance faciale avec une caméra l’électronique embarquée en 2024L’IA va redéfinir l’industrie Calcul en mémoire basé sur la charge chez EnCharge AI des opérations d'IA avec 10 fois moins d'énergie et des coûts divisés par 20 Une carte pour le développement et l’entraînement des modèles ML d’analyse des vibrations Elektor Mini-WheelieKit robot gyropode (robot autostabilisé) MCUViewerMCUViewer outil de débogage open source multiplateforme isolateur USB 2.0Isolation éléctrique pour les périphériques USB anticipation et actionApplication pratique de la maintenance prédictive SPoE – compatibilité électromagnétiquePaire unique avec Power-over-Ethernet à travers les yeux d'EMC rétro-techCréer un monde nouveau avec la télévision couleur surveillance ECGavec des modules Hexabitz et STM32CubeMonitor la bataille pour l’IA en périphérie HaLow atteint une distance Wifi record de 16 km à 900 MHz première puce embarquée CHERI RISC-V et programme d'accès anticipé la détection des incendies de forêt de troisième génération utilise des liaisons satellites sur le vifDélices et supplices du choix démarrer en électronique......Filtrage et contrôle de la tonalité Kit d'horloge quasi-analogiqueNouvelle version d'un classique d'Elektor une approche modulaire de test des capteursCarte de test de capteurs basée sur l'ESP32-S3 2025 : une odyssée de l'IAL'essor des modèles de fondation et leur impact sur l'accessibilité de l'IA Synthétiseur MIDI autonome Raspberry Pi (1)Préparation d'une plateforme pour des expériences d’IA en périphérie projet 2.0Corrections, mises à jour et courrier des lecteurs Le RISC-V AI, un processeur à tout faire : CPU, GPU, DSP, FPGA paroles de PDG : fraîcheur, silence et finesse programmation Dual-Core avec le Raspberry Pi PicoLe monde de la programmation parallèle

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Ungefähr seit dem Jahr 2000 bieten Fahrzeuge Zugriff auf Diagnosedaten, Messwerte und erkannte Fehler, die mit preiswerten Geräten ausgelesen werden können. Die Daten helfen Ihnen nicht nur bei der Fehlersuche, sondern auch beim Gebrauchtwagenkauf oder dem reibungslosen Bestehen der nächsten Hauptuntersuchung. Die zunehmende Komplexität und Vernetzung der integrierten elektronischen Kontroll- und Steuerungssysteme im Fahrzeug erfordert vom Kfz-Mechatroniker sowie dem ambitionierten Selbstschrauber ein tiefgreifendes Verständnis der Thematik. Dieses Sachbuch bietet Ihnen eine umfassende Einführung zu den in Kraftfahrzeugen vorhandenen genormten On-Board-Diagnosemöglichkeiten (OBD II), deren Ursprünge, Stand der Entwicklung, Protokollaufbau und Anwendung. Das Buch richtet sich an eine breite Leserschaft, die selbst die Möglichkeiten nutzen will, um nicht mehr auf kostspielige Werkstattbesuche angewiesen zu sein oder sich für eine Eigenentwicklung von Diagnosesystemen und eine praxisnahe Beschreibung der Protokolle interessiert. Durch den Einsatz günstiger Diagnoseadapter (ELM 327 etc.) können Sie sich auf dem Smartphone Live-Daten anzeigen lassen und Cockpitinstrumente nachrüsten oder eigene Anwendungssoftware für verschiedene Systeme erstellen. Themenauswahl Historische Entwicklung der Diagnosemöglichkeiten und Standards Funktionsumfang von OBD II mit allen zehn Diagnosemodi und Readinesscode World Wide Harmonized OBD (WWH-OBD) und HD OBD (Heavy Duty: Nutzfahrzeuge) Anschlüsse gemäß SAE J1962, SAE J1939, SAE J1708 und DoIP (ISO 13400) Protokollaufbau nach SAE J1850, ISO 9141, ISO 14230 und CAN Übersicht gängiger Diagnoselösungen für Hobbyanwender Eigenbau von Diagnosesystemen mit Arduino und Raspberry Pi Alle Parameter Identifier (Messwerte) für OBD II Umfangreiche Liste der Fehlercodes zum Nachschlagen

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Kick off with the MAX1000 and VHDPlus Ready to Master FPGA Programming? In this guide, we’re diving into the world of Field Programmable Gate Arrays (FPGAs) – a configurable integrated circuit that can be programmed after manufacturing. Imagine bringing your ideas to life, from simple projects to complete microcontroller systems! Meet the MAX1000: a compact and budget-friendly FPGA development board packed with features like memory, user LEDs, push-buttons, and flexible I/O ports. It’s the ideal starting point for anyone wanting to learn about FPGAs and Hardware Description Languages (HDLs). In this book, you’ll get hands-on with the VHDPlus programming language – a simpler version of VHDL. We’ll work on practical projects using the MAX1000, helping you gain the skills and confidence to unleash your creativity. Get ready for an exciting journey! You’ll explore a variety of projects that highlight the true power of FPGAs. Let’s turn your ideas into reality and embark on your FPGA adventure – your journey starts now! Exciting Projects You’ll Find in This Book Arduino-Driven BCD to 7-Segment Display Decoder Use an Arduino Uno R4 to supply BCD data to the decoder, counting from 0 to 9 with a one-second delay Multiplexed 4-Digit Event Counter Create an event counter that displays the total count on a 4-digit display, incrementing with each button press PWM Waveform with Fixed Duty Cycle Generate a PWM waveform at 1 kHz with a fixed duty cycle of 50% Ultrasonic Distance Measurement Measure distances using an ultrasonic sensor, displaying the results on a 4-digit 7-segment LED Electronic Lock Build a simple electronic lock using combinational logic gates with push buttons and an LED output Temperature Sensor Monitor ambient temperature with a TMP36 sensor and display the readings on a 7-segment LED Downloads Software

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Sprachsteuerung von IoT-Projekten mit Amazon Alexa gibt dem Leser einen tiefen Einblick in die Technik der Sprachsteuerung am Beispiel von Amazon Alexa. Es erklärt detailliert Schritt für Schritt, wie man Raspberry Pi, ESP8266/32 und Arduino mit einem Sprachassistenten verbindet und steuert. Dieses geschieht anhand von Projekten aus den Bereichen Hausautomation und Robotik. Der Leser erfährt, wie man Heizkessel, Roboter und Gartenhäuser mit dieser modernen Mensch-Maschine-Schnittstelle kommandieren kann. Der Autor Walter Trojan führt dabei den Leser in die vielschichtige Welt der Amazon Web Services ein, wo er neben dem Alexa Skills Kit weitere Module wie AWS Lambda und IoT Core kennenlernt. Das erwartet den Leser: Kapitel 1: Sprachassistenten setzen sich durch Kapitel 2: Alexa intern Kapitel 3: Der erste Alexa Skill Kapitel 4: Alexa Skills für Fortgeschrittene Kapitel 5: Erster Hardware-Skill auf Raspberry Pi Kapitel 6: Auch Alexa liebt die Arduino-IDE Kapitel 7: Hacks mit Schaltern Kapitel 8: Alexa steuert ein Gartenhaus Kapitel 9: Auch Roboter gehorchen Alexa Kapitel 10: Alexa geht fremd

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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. Cloc 2.0de wekker die je altijd al wilde hebben PIO in de praktijkexperimenten met de programmeerbare I/O van de RP2040 Armeluis chiptweakerwe krijgen je wel (goedkoop) aan de praat... Echte USB-toevalsgeneratortwee PIC’s voor de prijs van één AVR Pimp my mike...opvoeren doe je zelf FFT met Maixduinofrequentiespectra vastleggen Uit het leven gegrepenontwerp(on)logica UCN5804 stappenmotordrivervreemde onderdelen Simuleren met Micro-Capeerste stappen in een complexe wereld PAUL Award 2022jonge technische talenten en hun creatieve ontwerpen Mijn eerste Software Defined Radioin minder dan 15 minuten klaar Microcontroller-documentatie verklaarddeel 1: de opzet van een datasheet Hoe verder met AI en embedded systems?tools, platforms – en worden schrijvers obsoleet? Digitalisering van verticale landbouw Elektor Infographicsembedded en AI vandaag – en morgen Een introductie tot TinyML Casestudy KwickPOS High-performance in elke klassecomputer-on-module standaarden Alle begin......wordt eindelijk actief! I²C-communicatie met Node.js en een Raspberry Pibekijk sensordata in een browser Video-output met microcontrollers (2)VGA en DVI Het Metronom real-time besturingssysteemeen RTOS voor AVR-processoren DVI op de RP2040vraaggesprek met Luke Wren, chipontwikkelaar bij Raspberry Pi Display-HAT Minitoont het weer op de Raspberry Pi De WEEF 2022 Awardshet goede vieren Hexadoku

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This is the second edition of a book aimed at engineers, scientists, and hobbyists who want to interface PCs with hardware projects using graphical user interfaces. Desktop and web-based applications are covered. The programming language used is Python 3, which is one of the most popular languages around: speed of programming being a key feature. The book has been revised and updated with an emphasis on getting the user to produce practical designs with ease – a text editor is all that is required to produce Python programs. Hardware interfacing is achieved using an Arduino Uno as a remote slave. A full description and source code of the communication interface is given in the book. The slave provides digital and analog input and outputs. Multiple Unos can be included in one project with all control code written in Python and running on a PC One project involves a PIC microcontroller with the code provided that can be loaded into the PIC using the Uno. The web applications and server are all implemented in Python, allowing you to access your electronic hardware over the Internet. The Raspberry Pi computer can be used as your web server. An introductory chapter is provided to get you started with using Linux. The book is written for use with Debian or variations including Mint or Ubuntu. All of the programs in the book are freely available, ready to use and experiment with by way of a download from Elektor.

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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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IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 2)Image Recognition Using Edge Impulse ELEKTOR JUMPSTARTER NEWSUpcoming Campaigns AN OPEN-SOURCE GPS TRACKING PLATFORMTraccar Maps Vehicle Tracking Without the Need for a Third-Party Cloud Server JOY-IT LCR-T7 MULTI-FUNCTION TESTERTesting Passives, Discrete Semiconductors and IR Remote Controls NOISE SYNTHESIZERFrom Noise to Music with the PRBSynth1 STARTING OUT IN ELECTRONICSEasier than Imagined! ... Continuing with the Coil UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 2)Logical Neurons ISSUES WITH SECURITY? FIGHT FIRE WITH FIRE!Flashbulb-Protected Analogue Memory Add-on For the Tamper-Evident Box LCR METER POSTER BLUETOOTH BEACONS IN PRACTICEBeacons Light the Way Ahead C PROGRAMMING ON RASPBERRY PICommunicating over Wi-Fi (Sample Chapter) EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 2)The Hardware and How to Use It HANDS ON THE PARALLAX PROPELLER 2 (PART 5)Inside the Smart Pin MODBUS OVER WLAN (PART 1)Hardware and Programming HOMELAB TOURSWhere the Junior Computer Is Brought to Life Again BUILD YOUR OWN HIGH-PRECISION CALIBRATOR-10 V to +10 V, 0 to 40 mA, 0.001% ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + Wi-Fi + Bluetooth THE PHYSICAL BODY OF ARTIFICIAL INTELLIGENCE ERR-LECTRONICSCorrections, Updates and Readers’ Letters CREATE GUIS WITH PYTHONIntroducing guizero CO2 METER KIT FOR THE CLASSROOMAn ESP8266-Based Device from the University of Applied Sciences Aachen NOSTALGIC MK484 MW/LW RADIO...Always Fun to Build! ELEKTOR @ 60Let There Be Light! HEXADOKUThe Original Elektorized Sudoku

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SPD3000X Series Linear Programmable DC Power Supply has a 4.3-inches TFT LCD display, Supports Programmability and Real Time Wave Display, bringing a new experience to users. It has three isolated outputs: two adjustable channels and one selectable channel from 2.5V, 3.3V, and 5V. It also has output short and overload protect function, and can be used in production and development. Features 3 independent controlled and isolated output, 32V/3.2A×2, 2.5V/3.3V/5V/3.2A×1, total 220W. 5 digits Voltage, 4digits Current Display, Minimum Resolution: 10mV/10mA. Supports panel timing output functions. 4.3 inch true color TFT LCD 480x272 pixel display. 3 kinds of output modes: independent, series, parallel. 100V/120V/220V/230V compatible design to meet the needs of different power grids. Intelligent temperature-controlled fan, effectively reducing noise. Clear graphical interface, with the waveform display function Internal 5 groups of system parameter save/recall, supports data storage space expansion. Provides PC software: Easypower, supports SCPI, LabVIEW driver. High-resolution and high-precision output The highest resolution of 10mV/10mA, provides excellent setting and read back accuracy. This ensures accurate output even with very with small changes in voltage or current. This is impossible for a low resolution power supply. Series/parallel/independent mode function Series and parallel function allows two channels combined into one output with more power output capability, extending the application range. Each of 3 channels power can be turned on or off independently and also can be turned all on or all off. Panel displays the timing output Through the panel operation, 5 groups of timing settings and output control can be displayed, which provides users a simple power programming function. Also a connection can be made with Siglent’s EasyPower PC software providing a full range of communication and control requirements. Save/Recall setting parameters SPD3000X series programmable power supply can save or recall 5 groups of setting parameter in internal storage, also supports external storage expansion. You can easily obtain the settings you needed.

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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