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UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 1)Artificial Neurons EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 1)Dual DC LISN ELECTRONIC LOAD FOR DC AND ACUp to 400 V and 10 A (Peak) STARTING OUT IN ELECTRONICSEasier Than Imagined! ...Taking on the Choke! IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 1)The Hardware and Software AN IN-DEPTH LOOK AT MAINS TRANSFORMERSHow Do They Behave When They Are Switched On and Off? YES WE CAN WITH PICAN 3A CAN Bus HAT for the Raspberry Pi 4 BALCONY POWER PLANTDIY Solar Balcony = Speedy Payback! IMAGING AND VIDEO-STREAMING WITH A RASPBERRY PI 4The Raspberry Pi High-Quality Camera in Practice USING DISPLAYS IN RASPBERRY PI PROJECTSSample Chapter: Organic Light Emitting Diode Displays (OLED) HANDS ON THE PARALLAX PROPELLER 2 (PART 4)Sending Strings ELEKTOR @ 60A Look Back at Previous Septembers HOMELAB TOURSIn the Friesian Countryside, Where the Tubes Bloom ... HYBRIDSPeculiar Parts, the series A COMPASS ROSE USING THE GY-271Or Why We Move in Figures of Eight to Calibrate a Sensor FINDING YOUR FOOTPRINTCalculate the Carbon Footprint of Your Electronics ESP32-CONNECTED THERMOSTATKeep Your Wine at the Right Temperature! MAGNETIC LEVITATION THE DIGITAL WAYESP32 Pico Replaces the Analog Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALSample Chapter: Main Microcontroller Bootloader MICROPYTHON FOR THE ESP32 AND FRIENDS (PART 2)Control Matrix Displays Easily MADMACHINE SWIFTIO BOARDModern Language Meets Modern Hardware FROM LIFE’S EXPERIENCEOn-Again, Off-Again Relationship HEXADOKUThe Original Elektorized Sudoku

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In Elektronica Kunst & Kunde worden alle onderwerpen behandeld die ook in standaard elektronica-leerboeken aan de orde komen, plus een groot aantal belangrijke maar vaak veronachtzaamde zaken. In dit tweede deel aandacht voor onder meer de volgende onderwerpen: phase-locked loop-schakelingen, opto-elektronica, busschakelingen, capacitieve belasting, bekabeling, interfacing timing, naaldpulsen, klokvertraging, monostabiele multivibratoren de IBM-PC en de Intel-fanilie, RS232-kabels, seriële poorten, ASCII, modems, SCSI, IPI, GPIB, parallele poorten, local-area-networks de 68000-microprocessorfamilie, perifere LSI-chips, geheugen, programmeerbare instrumenten prototypering, het ontwerpen van printplaten, wire-wrap-technieken, CAD/CAM technieken, de bouw van schakelingen HF-modules, vereenvoudigd ontwerp van HF-versterkers en high-speed schakelaars batterijen, accu's en zonnecellen; micropower-regelaars, -opamps en -microprocessoren methoden om de bandbreedte te beperken, middeling van signalen, lock-in versterkers, pulshoogte-analyse, 'multichannel-scaling'

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The SDRplay RSP1B is an enhanced version of the popular RSP1A – a powerful, wideband, full-featured 14-bit SDR that covers the RF spectrum from 1 kHz to 2 GHz. The RSP1B comes in a rugged, black-painted steel case and offers significantly improved noise performance. All it needs is a computer and an antenna to deliver excellent communications-receiver functionality. It includes a choice of SDRuno for Windows and the multi-platform SDRconnect software for Windows, macOS, and Linux (supplied free of charge by SDRplay). You can monitor up to 10 MHz of spectrum at a time. A documented API allows developers to create new demodulators or applications for the platform. Features Covers all frequencies from 1 kHz through VLF, LF, MW, HF, VHF, UHF and L-band to 2 GHz, with no gaps Receive, monitor and record up to 10 MHz of spectrum at a time Free use of windows-based SDRuno software which provides an ever-increasing feature-set Strong and growing software support network Calibrated S meter/ RF power and SNR measurement with SDRuno (including datalogging to .CSV file capability) Documented API provided to allow demodulator or application development on multiple platforms Excellent dynamic range for challenging reception conditions Works with popular 3rd party SDR software (including HDSDR, SDR Console and Cubic SDR) ExtIO based plugin available Software upgradeable for future standards Strong and growing software support network API provided to allow demodulator or application development Multiplatform driver and API support including Windows, Linux, Mac, Android and Raspberry Pi Up to 16 individual receivers in any 10 MHz slice of spectrum using SDRuno Calibrated S meter and power measurements with SDRuno Stand-alone windows-based spectrum analyser software available (with sweep, sample and hold features) Ideal for monitoring of ISM/ IoT/ Telemetry bands <2 GHz Ideal for portable operation Specifications Frequency Range 1 kHz – 2 GHz Antenna Connector SMA Antenna Impedance 50 Ohms Current Consumption (Typical) 185 mA (excl. Bias-T) USB Connector USB Type B Maximum Input Power +0 dBm Continuous+10 dBm Short Duration ADC Sample Rates 2-10.66 MSPS ADC Number of Bits 14 bit 2-6.048 MSPS12 bit 6.048-8.064 MSPS10 bit 8.064-9.216 MSPS8 bit >9.216 MSPS Bias-T 4.7 V100 mA guaranteed Reference 0.5ppm 24 MHz TCXO.Frequency error trimmable to 0.01ppm in field. Operating Temperature Range -10˚C to +60˚C Dimensions 98 x 88 x 34 mm Weight 110 g Downloads Datasheet Software RSP1B vs RSPdx vs RSPduo RSP1B RSPdx RSPduo Continuous coverage from 1 kHz to 2 GHz ✓ ✓ ✓ Up to 10 Mhz visible bandwidth ✓ ✓ ✓ 14-bit ADC silicon technology plus multiple high-performance input filters ✓ ✓ ✓ Software selectable AM/FM & DAB broadcast band notch filters ✓ ✓ ✓ 4.7 V Bias-T for powering external remote antenna amplifier ✓ ✓ ✓ Powers over the USB cable with a simple type B socket ✓ ✓ ✓ 50Ω SMA antenna input(s) for 1 kHz to 2 GHz operation (software selectable) 1 2 2 Additional software selectable Hi-Z input for up to 30 Mhz operation ✓ Additional software selectable 50Ω BNC input for up to 200 MHz operation ✓ Additional LF/VLF filter for below 500 kHz ✓ 24 MHz reference clock input (+ output on RSPduo) ✓ ✓ Dual tuners enabling reception on 2 totally independent 2 MHz ranges ✓ Dual tuners enabling diversity reception using SDRuno ✓ Robust and strong plastic case (with internal RF shielding layer) ✓ Rugged black painted steel case ✓ ✓ Overall performance below 2 MHz for MW and LF + ++ + Multiple simultaneous applications + + ++ Performance in challenging fading conditions (*using diversity tuning) + + *++

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Learn RC and RL Filters with Hands-On Circuits and Simulation Introduction to Electronic Filters is your comprehensive guide to understanding, designing, and applying first-order electronic filters using resistors, capacitors, and inductors. Whether you are a student, maker, or educator, this book demystifies the theory behind RC and RL filters and bridges the gap between concepts and real-world applications through simulation and experimentation. From the basics of frequency response and phase shift to hands-on breadboard builds and Python-based simulations, this book offers a deeply practical learning experience. You will learn to analyse filters using Bode plots and phasors, and explore applications in audio tone shaping, sensor signal conditioning, noise reduction, and power supply filtering. As you progress, you’ll build, measure, simulate, and tune filters using modern tools like CircuitLab, Python, and the Analog Discovery 3. Each chapter includes thoughtfully crafted activities that reinforce learning by doing – designing filters for specific tasks, simulating dynamic behaviour, and observing how theory translates into performance. Inside you’ll find: A clear introduction to the fundamentals of electronic filters Detailed explanations of RC and RL filters, cutoff frequency, and phase Guided activities using both simulation and hardware tools Real-life applications in audio, sensors, power supplies, and more A beginner-friendly primer on Python and algebra for electronics Whether you’re working through simulations or experimenting with real components on your workbench, this book will help you develop a solid understanding of electronic filters and their role in practical circuits.

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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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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go2 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Pro 1x Unitree Go2 Battery (8000 mAh) Downloads Documentation iOS/Android apps GitHub

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The Black Shadow Project: From Sensors to Embedded AI Most robotics books stop at individual components or jump to frameworks that hide the hardware. This book explores how a complete autonomous robot is designed, integrated and debugged from first principles, following an engineer’s practical problems, failed approaches and workable solutions. Three dedicated dual-core microcontrollers divide perception, motor control and navigation, reducing timing conflicts. Sixteen time-of-flight sensors across eight independent I²C buses provide 360° environmental coverage at 20 Hz. Their measurements feed a trained neural network that performs real-time obstacle avoidance directly on the microcontroller using TensorFlow Lite for Microcontrollers, without cloud services or a GPU. A built-in Wi-Fi access point and browser interface give your smartphone access to live telemetry, sensor visualisation and manual driving without installing an app. An onboard virtual machine executes bytecode scripts one instruction per scheduler tick, allowing multi-step manoeuvres without blocking real-time control loops. This establishes a foundation for increasingly independent behaviour. The closing chapter examines what separates shared control from the book’s goal of Level 3 autonomy: self-localisation, mission planning, reliable heading, predictive power management and recognising when to stop. It outlines possible solutions, then challenges you to design Black Shadow 2.0. Throughout, the emphasis remains on integration, troubleshooting and practical engineering decisions.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The RISC-V Open-Source Processor Architecture16 Boards and MCUs You Should Know An FPGA-Based Audio Player with Equalizer (1)Mixing Digital Audio with an Arduino MKR Vidor 4000 Laser Head for Pico-Based Sand ClockDrawing with Light Enter the STM32 Edge AI Contest A Multi-Sensor Environmental Monitoring System for PlantsWireless Measurement of Water Supply and Light Conditions Maixduino AI-Powered Automatic DoormanFace Detection with a Camera Embedded Electronics 2024AI Is Set to Redefine the Industry Charge-Based In-Memory Compute at EnCharge AI AI Inferencing at 10 Times Lower Power and 20 Fold Lower Cost Click Board Helps Develop and Train ML Models for Vibration Analysis The Elektor Mini-WheelieA Self-Balancing Robot Kit MCU, I See YouMCUViewer Open-Source Multiplatform Debugging Tool USB 2.0 IsolatorElectrically Isolated Connections for USB Devices Intervention Before DamagePredictive Maintenance in Practice SPoE – Electromagnetic CompatibilitySingle-Pair with Power-Over-Ethernet Through the Eyes of EMC Color TV: A Wonder of Its TimeCreating a New World ECG Graph MonitoringAn Implementation with Hexabitz Modules and an STM32CubeMonitor The Battle for AI at the Edge HaLow Hits Record 16-km Wi-Fi Distance at 900 MHz First CHERI RISC-V Embedded Chip and Early Access Programme Third-Generation Wildfire Detection Uses Satellite Links From Life’s ExperienceChoice Overload Starting Out in Electronics……Continues Filtering and Controls Tone Quasi-Analog ClockworkA Remake of an Elektor Classic A Modular Approach to Sensor TestingThe ESP32-S3-Based Sensor Evaluation Board 2025: An AI OdysseyThe Rise of Foundation Models and Their Role in Democratizing AI Raspberry Pi Standalone MIDI Synthesizer (1)Preparing a Platform for Some Edge AI Experiments Err-lectronicsCorrections, Updates, and Readers’ Letters Universal AI RISC-V Processor Does It All — CPU, GPU, DSP, FPGA CEO Interview: Ventiva’s Thin and Cool Tech Dual-Core Programming with a Raspberry Pi PicoVenture Into the World of Parallel Programming

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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. De open-source processorarchitectuur RISC-V16 boards en MCU's die je moet kennen Een FPGA-gebaseerde audiospeler met equalizer (1)Digitaal audio mixen met een Arduino MKR Vidor 4000 Laserkop voor pico-gebaseerde zandklokTekenen met licht Doe mee aan de STM32 Edge AI Contest Een multi-sensor plantenmonitor-systeemdraadloze meting van watertoevoer en lichtomstandigheden Maixduino AI-gestuurde automatische portiergezichtsdetectie met een camera Embedded Electronics 2024AI gaat de industrie opnieuw vormgeven Lading-gebaseerde in-Memory computing bij EnCharge AI AI-Inferentie met 10 Keer Lager Energieverbruik en 20 Keer Lagere Kosten Click board ondersteunt het ontwikkelen en trainen van ML-modellen voor trillingsanalyse De Elektor Mini-WheelieEen kit voor een zelfbalancerende robot MCU, ik zie jeMCUViewer: open-source multiplatform debugging-tool USB 2.0-isolatorelektrisch geïsoleerde USB-aansluiting Voorkomen is betervoorspellend onderhoud in de praktijk SPoE – Elektromagnetische compatibiliteitSingle pair met Power-over-Ethernet door de ogen van EMC Retro techEen nieuwe wereld met kleurentelevisie ECG-monitorimplementatie met Hexabitz-modules en een STM32CubeMonitor De strijd om AI aan de edge Met HaLow Wi-Fi is een record afstand bereikt van 16 km op 900 MHz Eerste CHERI RISC-V Embedded Chip en Early Access programma Derde generatie bosbranddetectie maakt gebruik van satellietverbindingen Uit het leven gegrepenkeuzestress Alle begin......filtert verder en regelt tonen Quasi-analoog uurwerkwedergeboorte van een Elektor-klassieker Een modulaire sensortesterSensor-evaluatieboard met ESP32-S3 2025: Een AI-OdysseeDe opkomst van foundation modellen en hun rol in het democratiseren van AI Raspberry Pi standalone MIDI-synthesizer (1)voorbereiding van een platform voor enkele edge-AI-experimenten Err-lectronicsCorrecties, updates en brieven van lezers Universele AI RISC-V processor doet ze allemaal - CPU, GPU, DSP, FPGA Interview met de CEO: Ventiva's dunne en coole technologie Dual-core programmeren met een Raspberry Pi Picoduik in de wereld van parallel programmeren

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KENNISMAKING MET NEURONEN IN NEURALE NETWERKEN (DEEL 1)Kunstmatige Neuronen EMC PRE-COMPLIANCE TEST VOOR UW DC-GEVOED PROJECT (DEEL 1)Dubbele DC-LISN ELEKTRONISCHE BELASTING VOOR DC EN ACTot 400 V en 10 A (piek) ALLE BEGIN......neemt het op tegen de spoel! BEELDVERWERKING MET DE NVIDIA JETSON NANO (DEEL 1)De Hardware en Software EEN GEDETAILLEERD ONDERZOEK NAAR NETTRANSFORMATORENIn- en uitschakelgedrag YES WE CAN MET PICAN 3Een CAN Bus HAT voor de Raspberry Pi 4 ZONNEPANELEN OP JE BALKONZelfbouw balkoncentrale = snel terugverdiend! BEELDVERWERKING EN VIDEO-STREAMING MET EEN RASPBERRY PI 4De Raspberry Pi High-Quality Camera in de praktijk DISPLAYS GEBRUIKEN IN RASPBERRY PI-PROJECTENEen hoofdstuk als voorbeeld: Organische LED-displays (OLED) KENNISMAKING MET DE PARALLAX PROPELLER 2 (DEEL 4):Tekens Versturen ELEKTOR @ 60Een terugblik op voorgaande septembers OOST WEST LAB BESTop het Friese platteland, waar de buizen bloeien... HYBRIDENVreemde onderdelen, de serie EEN KOMPASROOS MET DE GY-271Of waarom we in een acht bewegen om een sensor te kalibreren HOE GROOT IS UW VOETAFDRUK?Bereken de ecologische voetafdruk van uw elektronica CONNECTED THERMOSTAAT MET ESP32Houd uw wijn op de juiste temperatuur! MAGNETISCHE LEVITATIE OP DE DIGITALE MANIERESP32 Pico vervangt de Analoge Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALEen hoofdstuk als voorbeeld: Main Microcontroller Bootloader MICROPYTHON VOOR DE ESP32 C.S. (DEEL 2)Eenvoudig Matrix Displays besturen MADMACHINE SWIFTIO BOARDModerne taal ontmoet moderne Hardware UIT HET LEVEN GEGREPENKnipperlichtrelatie HEXADOKUThe Original Elektorized Sudoku

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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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Principles, Systems, and Electronics This handbook provides a detailed study of the sensors and actuators at the heart of modern vehicle electronics. It begins with basic electrical and electronic concepts, introducing the principles and terminology essential for understanding automotive systems. The book explores sensors and actuators on a system-by-system basis, including: Fundamentals of electrical engineering, electromagnetic phenomena, and motor principles Passive and active electronic components, integrated circuits, protection devices, and automotive-grade electronics Sensor characteristics, signal conditioning, ADCs, PWM and frequency outputs, and interface adaptation Automotive communication links and protocols, including LIN and SENT Engine sensors: air mass, pressure, temperature, speed, position, exhaust and emissions-related sensors Transmission sensors for manual and automatic systems Steering and suspension sensors for conventional and active systems Vehicle body and electrical system sensors for comfort, climate, access, and monitoring functions Engine actuators such as throttle bodies, injectors, turbo actuators, EGR systems, ignition components, and pumps Transmission, brake, steering, suspension, and body actuators Identification and coding of electronic components and packages commonly used in automotive applications The structure and operating principles of each component are explained, with relevant electronic circuitry illustrated. Its system-oriented organization and practical focus make it a valuable reference for understanding, testing, and troubleshooting automotive electronic systems.

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