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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. USB Measurement AdapterTesting Current and Signal Quality of USB Ports 4...20 mA Current Output for Arduino UnoA Reliable, EMI-Insensitive Current Loop Interface Vacuum Cleaner Automatic ControlKeep Your Tools’ Work Area Clean DDS Generator with ATtiny Opamp-Tester V2New PCB – Now Also Suitable for SMDs 550-mW “Lamp” Audio AmplifierGet the Warm Sound of Vacuum Tubes With Ease Fuse GuardMonitoring a Fuse with a Flashing LED HQ RIAA PreamplifierGet the Most Out of Your Vinyl Records! Turntable Speed CalibratorAn Arduino-Based 100–120 Hz Strobe Light Generator Elektor Classics: video buffer/repeater Infrared Remote-Controlled DimmerControl Your Halogen or LED Floor Lamp Effortlessly and With Style How to Use switch…case on Strings in C++/Arduino IDE Magnet FinderWith a Simple Hall-Effect Sensor Raspberry Pi Smart Power ButtonA Solution for Raspberry Pi Up to Model 4 Essential Maker TipsProfessional Insights for Everyday Making Practical Projects with the 555 TimerDC Motor Control and Fast Reaction Challenges Basic AC-Load-On MonitorSave Energy with a Simple Device Power Banks in ParallelA Three-Day Continuous Power Solution VFO Up to 15 MHzAn Implementation With Raspberry Pi Pico Violin Tuner with ATtiny202 Elektor Classics: video amplifier for B/W television sets Capacitance Meter20 pF to 600 nF Quasi-Analog Clockwork Mk IITwo LED Rings for Hours and Minutes You Can Do Anything You Want(with the Arduino Ecosystem at Your Side) Neon Lamp Dice Elektor Classics: RTTY calibrator indicator Inspiring Hardware Designs for Your ESPs Elektor Classics: variable 3 A power supply RGB LEDs with Integrated Control CircuitLight with Precision: ICLEDs Set Standards Experiment: Towards a Mixed-Signal Theremin?Blending Modern Time-of-Flight Sensors With the Timeless XR2206 Analog Generator ESP32 Audio Transceiver Board (Part 1)SD Card WAV File Player Demo Infographics: Circuits and Circuit Design 2025 Small Audio MixerA Simple and Versatile Scalable Design Smart Staircase Light TimerSave More Money on the Energy Bill! Smarten Up Your ShuttersControlling Velux Hardware With an ESP32 and MQTT Solid-State Foot WarmerEnergy-Efficient Comfort Is the M5Stamp Fly Quadcopter the Next Tello? Boosting Wi-Fi Range of the ESP32-C3 SuperMiniA Simple and Effective Antenna Mod ZD-8968 Hot-Air Soldering StationA Budget-Friendly Workhorse or Just Hot Air? Parking Sensor TesterFinding Defects in the PDC System of a Car

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Nahezu alle Menschen werden zunehmend mit den Anwendungen der „Künstlichen Intelligenz“ (KI oder AI für engl. Artificial Intelligence) konfrontiert. Musik- oder Videoempfehlungen, Navigationssysteme, Einkaufsvorschläge etc. basieren auf Verfahren, die diesem Bereich zugeordnet werden können. Der Begriff „Künstliche Intelligenz“ wurde 1956 auf einer internationalen Konferenz, dem Dartmouth Summer Research Project geprägt. Eine grundlegende Idee war dabei, die Funktionsweise des menschlichen Gehirns zu modellieren und darauf basierend fortschrittliche Computersysteme zu konstruieren. Bald sollte klar sein, wie der menschliche Verstand funktioniert. Die Übertragung auf eine Maschine wurde nur noch als ein kleiner Schritt angesehen. Diese Vorstellung erwies sich als etwas zu optimistisch. Dennoch sind die Fortschritte der modernen KI, beziehungsweise ihrem Teilgebiet dem sogenannten „Machine Learning“, nicht mehr zu übersehen. Um die Methoden des Machine Learnings näher kennenzulernen, sollen in diesem Buch mehrere verschiedene Systeme zum Einsatz kommen. Neben dem PC werden sowohl der Raspberry Pi als auch der „Maixduino“ in den einzelnen Projekten ihre Fähigkeiten beweisen. Zusätzlich zu Anwendungen wie Objekt- und Gesichtserkennung entstehen dabei auch praktisch einsetzbare Systeme wie etwa Flaschendetektoren, Personenzähler oder ein „Sprechendes Auge“. Letzteres ist in der Lage, automatisch erkannte Objekte oder Gesichter akustisch zu beschreiben. Befindet sich beispielsweise ein Fahrzeug im Sichtfeld der angeschlossenen Kamera, so wird die Information „I see a car!“ über elektronisch erzeugte Sprache ausgegeben. Derartige Geräte sind hochinteressante Beispiele dafür, wie etwa auch blinde oder stark sehbehinderte Menschen von KI-Systemen profitieren können.

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The Siglent SDS1204X-E is a powerful 200 MHz four-channel oscilloscope that is built on the same platform as the very popular SDS1202X-E but with several significant improvements, including two 1 GSa/s ADCs and two 14 Mpt memory modules. Waveform capture rates are up to 100,000 wfms/s in normal mode and 400,000 wfms/s in sequence mode. The SDS1000X-E scopes feature a large 7” 256-level color display with intensity grading and color temperature features. Specificaties Bandwidth 200 MHz Sampling Rate (Max.) 1 GSa/s Channels 2CH+EXT4CH Memory Depth (Max.) 7 Mpts/CH (not interleave mode); 14 Mpts/CH (interleave mode) Waveform Capture Rate (Max.) 100,000 wfms/s (normal mode), 400,000 wfms/s (sequence mode) Trigger Types Edge, Slope, Pulse width, Window, Runt, Interval, Dropout, Pattern, Video Serial Trigger (Standard) I2C, SPI, UART/RS232, CAN, LIN Decode Type (Standard) I2C, SPI, UART/RS232, CAN, LIN 16 Digital Channels (four channel series only, option) Maximum waveform capture rate up to 1 GSa/s, Record length up to 14 Mpts/CH USB AWG module (four channel series only, option) One channel, 25 MHz, sample rate of 125 MHz, wave length of 16 kpts Bode plot ( four channel series only) Minimum start frequency of 10 Hz, minimum scan bandwith of 500 Hz, maximum scan bandwidth of 120 MHz (dependent on Oscilloscope and AWG bandwidth), 500 maximum scan frequency points USB WIFI adapter (four channel series only, option) 802.11b/g/b, WPA-PSK, the adapter must be supplied by Siglent to ensure proper functioning Downloads Datasheet Manual Programming Guide

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Motorsteuerung mit Arduino und Raspberry Pi (E-book)

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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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This pack contains the LCR45 Passive Component Impedance Meter, great for advanced hobbyists and professionals. It also contains the very popular DCA Pro (model DCA75), fantastic for component identification, pinout identification, detailed characteristic measurement and curve tracing on a PC. Complete with USB cable and software on a USB flash drive. DCA75 Building on the continued success of Peak's existing component identification and analysis instruments, the DCA Pro brings an array of exciting new features for the hobbyist and professional alike. The DCA Pro is an advanced new design that features a graphics display, USB communications, PC Software and an enhanced component identification library. Automatic component type identification Automatic pinout identification (connect any way round) The DCA Pro supports all the components that the popular Peak Atlas DCA55 supports, but adds plenty more. Components supported include: Transistors (including Darlingtons), Silicon and Germanium types. Measures gain, Vbe and leakage MOSFETs, enhancement mode and depletion mode types. Measure on-threshold (at 5 mA) and approx transconductance (for span of 3-5 mA) JFETs, including normally off SiC types. Measures pinch-off voltage (at 1 uA) and approx transconductance (for span of 3-5 mA) IGBTs (insulated gate bipolar transistors). Measures on-threshold (at 5 mA) Diodes and Diode networks LEDs and bicolour LEDs (2 lead and 3 lead types) Zener Diodes with measurement of zener voltage up to 9 V at 5 mA Voltage regulators (measures regulation voltage, drop-out voltage, quiescent current) Triacs and Thyristors that require less than 10 mA of gate current and holding current Stand-alone or with a PC The instrument can be used stand-alone or connected to a PC. Either way, the DCA Pro will automatically identify the component type, identify the pinout and also measure a range of component parameters such as transistor gain, leakage, MOSFET and IGBT threshold voltages, pn characteristics and much more. Curve Tracing When connected to a PC using the supplied USB cable, a range of low current curve-tracing functions can be performed. Various graph types are available, with more to follow: Bipolar transistor output characteristics, IC vs VCE Bipolar transistor gain characteristics, HFE vs VCE Bipolar transistor gain characteristics, HFE vs IC MOSFET and IGBT output function, ID vs VDS MOSFET and IGBT transfer function, ID vs VGS JFET output function, ID vs VDS JFET transfer function, ID vs VGS Voltage regulator, VOUT vs VIN Voltage regulator, IQ vs VIN. PN junction I/V curves, forward and reverse options (for Zener diodes) Curve tracing is performed using test parameters in the range of +/-12 V or +/-12 mA. All curve-tracing data can be instantly pasted into Excel for further graphing and analysis. PC Software is included with the DCA Pro on a Peak USB memory stick. Software designed for Windows 7 and higher (all 32 or 64 bit). LCR45 A great handheld LCR analyser that can measure the value of your passive component (inductor, capacitor or resistor) and also measure the detailed impedance in a number of modes. The LCR45 offers enhanced measurement resolution (better than 0.1 uH!) whilst also giving you continuous fluid measurements. Additionally, the test frequencies of DC, 1 kHz, 15 kHz and 200 kHz can be set to automatic or manual modes. Supplied with removable gold plated hook probes, battery and user guide. Compatible with standard 2 mm test connectors. Not designed for in-circuit use. Automatic or manual component type selection: Inductor, Capacitor or Resistor Automatic or manual test frequency selection: DC, 1 kHz, 15 kHz and 200 kHz Inductance from 0.1 uH to 10 H Capacitance from 0.1 pF to 10,000 uF Resistance from 0.1 Ohm to 2 MOhm Inductance measurement also shows DC winding resistance Display of "Component type and values", "Complex Impedance", "Magnitude/Phase" and "Admittance" Test frequency displayed for all measurements Typical accuracy of 1.5% for inductors and capacitors (see spec table for details) Typical accuracy of 1% for resistors Test lead complete with gold plated 2 mm plugs and sockets Supplied with removable gold plated hook probes Inbegrepen LCR45 DCA75 Extra GP23 Battery Extra AAA cell Dual Carry Case

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The uArm Swift Pro is a high quality robotic arm that can be used in a wide range of applications. The uArm Swift Pro was developed and optimized for use in education, which means that many packages are already available for open source platforms such as ROS. The uArm Swift Pro has a position repeatability of 0.2 mm and is also equipped with a stepper motor and a 12-bit encoder. These are just a few reasons that make the uArm Swift Pro an excellent choice for educational use. Another great feature is the 3D printing kit that converts the uArm Swift Pro into a 3D printer in less than 1 minute. The uArm supports the following development platforms/systems: UFACTORY SDK Arduino Python ROS GRABCAD OpenMV Smartphone App The smartphone app for iOS is already available in the App Store and enables easy control and monitoring of the robotic arm. The app for Android is in development and will be available soon. An example of the Machine Vision The following GIF shows the uArm in combination with the OpenMV Machine Vision Cam M7 and the facial recognition applications that can be implemented in MicroPython. Specifications Degrees of Freedom: 4 Repeatability: Up to 0.2 mm Payload: 500 g Working Range: 50-320 mm Positioning Speed: 100 m/s Position Feedback: 12-bit Encoder Dimensions: 150 x 140 x 281mm Weight: 2.2 kg Included UFactory uArm Swift Pro Body Bluetooth & Vacuum Gripper Downloads Datasheet

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Learning circuit design the fun way Welcome to the world of electronics! Getting started in electronics is not as difficult as you may think. Using this book, you will explore and learn the most important electrical and electronics engineering concepts in a fun way by doing various experiments and by simulating circuits. It will teach you electronics practically without getting into complex technical jargon and long calculations. As a result, you will be creating your own projects soon. No prior knowledge of electronics is required, only some basic algebra is used in a few simple calculations. Many tested and working projects and simulations are presented to familiarise yourself with the construction of electronic circuits. Circuit simulation is introduced at an early stage to enable you to experiment with circuits easily without breaking anything. You will learn: The concepts of voltage, current, and power AC and DC Basic lamp circuits with switches Passive components: resistors, capacitors & inductors RC & RCL circuits Electromagnetism Loudspeakers, relays, buzzers, and transformers Active components: diodes & LEDs, bipolar transistors & MOSFETs Transistor-based switching circuits Optocoupler circuits Astable & monostable multivibrators Using the 555 timer IC The operational amplifier Digital logic Advanced examples: amplifiers, oscillators, filters, and sensors Test and measurement tools Microcontrollers: Arduino UNO, ESP32, Raspberry Pi Pico, and Raspberry Pi Reading datasheets and best practices for selecting components EMC & EMI and norms & regulations

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. OBD2 Sensor DashboardOld Dials Sparked a Quest for Real Data OBD2: Add a Rev Counter and Gear Shift Indicator to Your CarRetro, but Super Useful LiDAR and Vision Sensors for Robotics Sensor+Test 2025 and PCIM 2025 Contact-Free E-Field Measurements (1)A Vibrating Membrane for Assessing DC Voltages or Static Electric Fields Wireless Mailbox NotifierFrom Optical Sensors to Radar, Exploring a Few Options Elektor Mini-WheelieA Self-Balancing Robot Solar CellsPeculiar Parts, the Series Getting Started With a Modern Radar SensorIs an Accurate Measurement on Your Radar? From Life’s ExperiencePaper Factory CybersecurityTough Times for Hackers Siglent Presents Next-Gen Multi-Channel OscilloscopesHigh-Performance Solutions for Modern Power and Embedded Systems Bluetooth 6.0 Brings Enhanced Distance-Ranging ApplicationsNew Version Offers Improved Device Positioning and Location Services Exploring Wireless Communication with BeagleY-AI Err-lectronicsCorrections, Updates, and Readers’ Letters Starting Out in Electronics……Concludes the Topic on Opamps A Powerful AI Code AssistantSpeed Up Your Development with Continue and Visual Studio Code Solar Charge Controller with MPPT (2)The Circuit Ultrasonic Obstacle DetectorA Simple Project to Help Those with Impaired Vision 2025: An AI OdysseyMid-Year Review Raspberry Pi Standalone MIDI Synthesizer (3)Making It Smarter and Adding a User Interface Meshtastic: A Demo ProjectAn Intelligent Mesh of LoRa Radios Analog Audio Frequency GeneratorHigh-Quality Adjustable Frequency Sine Wave Generator

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De FNB58 USB-tester (met Bluetooth) is een uitgebreide en zeer nauwkeurige USB spannings- en stroommeter. Hij beschikt over een 2,0" full-color HD TFT-display, ingebouwde USB-A, micro-USB en USB-C interface. Met dit apparaat kunt u de voeding of het stroomverbruik van producten meten, of het laadvermogen van mobiele telefoons en voedingen bepalen. Ook kunt u het snellaad protocol van laders in kaart brengen. Kenmerken USB-A en USB-C interface 2,0 inch HD-display Alle gegevens in één oogopslag Brede compatibiliteit Ultra nauwkeurige gegevensdetectie Speel met snellaad technologie Automatische protocol detectie (PD2.0, 3.0, 3.1, PPS, QC2.0, 3.0, FCP, SCP, AFC, PE, DASH VOOC, SuperVOOC en meer) Eenvoudige gebruikersinterface, eenvoudig te bedienen 4 functiecurve weergaves (real-time spannings- en stroomcurve, offline curve-opname, D+/D- spanningscurve, snelle meting van de rimpelspanning van de voeding) Kabeldetectie 10 groepen berekeningen van de accucapaciteit energieopslag Op PC aan te sluiten voor datalogging en firmware-updates Bluetooth-app voor Android-apparaten Specificaties Spanningsbereik 4-28 V Stroombereik 0-7 A Vermogensbereik 0-120 W Equivalente waardes interne weerstand bij belasting 0-9999,9 ? D+/D- spanning 0-3,3 V Capaciteit 0-9999,99 Ah Stroomverbruik 0-9999,99 Wh Kabel weerstand 0-9999,9 ? Interfaces micro-USB, USB-A, USB-C Afmetingen 42 x 13 x 82 mm Downloads Manual Firmware V0.68

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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! Die Open-Source-Prozessorarchitektur RISC-V16 Boards und MCUs, die Sie kennen sollten Audio-Player mit FPGA und EqualizerTeil 1. Digitale Audiosignale mischen mit einem MKR Vidor 4000 von Arduino Laserkopf für Pico-basierte SanduhrZeichnen mit Licht Nehmen Sie teil am STM32 Edge AI Contest! Umweltüberwachung von Pflanzen mit mehreren SensorenDrahtlose Messung der Wasserversorgung und Lichtverhältnisse Maixduino: Automatischer KI-TüröffnerGesichtserkennung mit einer Kamera Embedded-Elektronik 2024KI wird die Branche neu definieren Ladungsbasiertes In-Memory Compute bei EnCharge AI KI-Inferencing bei 10-fach geringerer Leistungsaufnahme zu 20-fach geringeren Kosten Click-Board hilft bei der Entwicklung und dem Training von ML-Modellen für die Schwingungsanalyse Der Elektor Mini-WheelieEin Bausatz für einen selbstbalancierenden Roboter MCU, ich sehe dich!MCUViewer, ein Open-Source-Multiplattform-Debugging-Werkzeug USB-2.0-IsolatorGeräte galvanisch isoliert per USB verbinden Eingriff vor dem SchadenPredictive Maintenance in der Praxis SPoE - Elektromagnetische VerträglichkeitSingle-Pair mit Power-over-Ethernet im EMV-Fokus Retro-TechnikWie das Farbfernsehen eine neue Welt schuf EKG-MonitorMit Hexabitz-Modulen und einem STM32CubeMonitor Der Kampf um KI at the Edge HaLow erreicht Rekorddistanz von 16 km für WLAN bei 900 MHz Erster CHERI RISC-V-Embedded Chip und Early Access Programm Die dritte Generation der Waldbrandfrüherkennung nutzt Satellitenverbindungen Aus dem Leben gegriffenDie Qual der Wahl Aller Anfang......ist nicht schwer: Wir setzen die Filterung und Klangregelung fort. Riesen-LED-UhrNeuauflage eines Elektor-Klassikers Ein modularer Ansatz für die SensorprüfungDas Sensor Evaluation Board mit ESP32-S3 2025: Eine Odyssee in die KIDer Aufstieg der Basismodelle und ihre Rolle bei der Demokratisierung der KImocratizing AI Standalone MIDI-Synthesizer mit Raspberry PTeil 1: Eine Plattform für Edge-KI-Experimente vorbereiten Projekt 2.0Korrekturen, Updates und Leserbriefe CPU, GPU, DSP, FPGA; ein universeller KI-RISC-V-Prozessor kann alles! CEO-Interview: Ventivas dünne und kühle Technologie Dual-Core-Programmierung beim Raspberry Pi PicoEinstieg in die Welt der parallelen Programmierung

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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. PbMonitor v1.0Un système de surveillance des batteries pour les applications à onduleurs et de stockage d'énergie contrôleur de charge solaire avec MPPT (1)Principes de base d'un contrôleur de charge solaire pour les systèmes autonomes magnétomètre à intégration du champ et capteurs artisanaux exactitude, ou précision ?vos appareils doivent posséder les deux ! AD7124 : un C/AN de précision en pratiqueFeatures for Sensor Signal Conditioning outil de contrôle PIDOptimisez facilement vos paramètres embedded world 2025 démarrer en électronique...…contrôle de la tonalité Academy Pro BoxLivre + cours en ligne + matériel adaptateur Milliohm-mètreUtilisant la précision de votre multimètre Un nouveau jalon dans le domaine des semi-conducteursEn route vers le 1,4 nm Connecteurs à technologie traversanteLe meilleur des deux mondes : THR fréquencemètrePortable et auto-calibré par GPS compteurs analogiquesDrôles de composants, la série testeur de quartz autonomeQuelle est la précision de votre source d'horloge ? testeur I²C peu couteuxconnecter des appareils I²C directement à votre PC sur le vifbienvenue chez les Pt’tites 2025 : une odyssée de l'IAL'impact transformateur sur le développement de logiciels projet 2.0Corrections, mises à jour, et courrier des lecteurs synthétiseur MIDI autonome Raspberry Pi (2)Améliorons notre configuration avec l’Intelligence oscillateur à pont de Wien "nortonisé"Petite cause, grand effet tester un microcontrôleur à 0,10 $Le microcontrôleur CH32V003 RISC-V et MounRiver Studio en pratique un lecteur audio avec égaliseur basé sur un FPGA (2)Ajout d'un réglage du volume, d'un mixage avancé et d'une interface Web

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