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Projekte mit Arduino Uno und Raspberry Pi In diesem Buch werden Anwendungen von Arduino Uno und Raspberry Pi 4 in praxisnahen Projekten auf Basis von CAN-Bus detailliert beschrieben. Durch den Einsatz von entweder Arduino Uno oder Raspberry Pi in Verbindung mit handelsüblichen CAN-Bus-Schnittstellenmodulen werden die Entwicklung, Fehlersuche und Fehlerbeseitigung sowie die Überprüfung von Projekten auf CAN-Bus-Basis erheblich erleichtert. Dieses Buch richtet sich an jeden, der mehr über den CAN-Bus lernen möchte und mit den Grundlagen der Elektronik vertraut ist. Hilfreich ist auch Erfahrung mit den Programmiersprachen C und Python sowie mit der Programmierung von Arduino Uno unter Verwendung seiner IDE und von Raspberry Pi zu haben. Das Buch ist eine nützliche Informationsquelle und ein Nachschlagewerk für jeden, der Antworten auf eine oder mehrere der folgenden Fragen sucht: Welche Bussysteme stehen für die Automobilindustrie zur Verfügung? Was sind die Grundprinzipien des CAN-Bus? Welche Arten von Frames (oder Datenpaketen) stehen in einem CAN-Bussystem zur Verfügung? Wie können Fehler in einem CAN-Bussystem erkannt werden, und wie zuverlässig ist ein CAN-Bussystem? Welche Arten von CAN-Bus-Controllern gibt es? Welches sind die Funktionsprinzipien des MCP2515 CAN-Bus-Controllers? Wie kann ich ein CAN-Bus-Projekt mit Arduino Uno realisieren? Wie kann ich Arduino oder Raspberry Pi CAN-Bus-Projekte mit 2 und 3 Knoten erstellen? Wie kann ich die Daten auf dem CAN-Bus analysieren? Wie kann ich ein CAN-Bus-Projekt mit Raspberry Pi ausführen?

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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. Kiesschijftelefoon als afstandsbedieningvoor licht kies 1; voor koffie kies 2 GPS-gebaseerde snelheidsmeternooit meer bekeuringen RGB-stroboscoop met Arduinokleurige toepassing van een nuttig instrument Draadloze nooddrukknopmeer veiligheid met LoRa Alle begin......volgt de emitter Vrij te kiezen onafhankelijke hystereseniveaus voor comparatorenmet simulaties, spreadsheets en algebra Impedantie-analyzer op basis van een ESP32simpel, weinig onderdelen en goedkoop! Oost West Lab Bestzelfbouw moet gestimuleerd! Het MCCAB Arduino Nano Training Boardalle hardware voor de “Microcontrollers Hands-On Course” Uit het leven gegrepenmodern luddisme Sensor-ABC: de DS18B20 temperatuursensoraansluiting op de 1-Wire bus Gaan Matter en Thread het Smart Home redden?nieuwe standaarden om het slimme huis te vereenvoudigen Een kwestie van samenwerkingontwikkelen met het Thing Plus Matter Board en Simplicity Studio Elektor IIIIinfographicIoT en sensoren Matter, ExpressLink, Rainmaker – waar hebben we het over?vraaggesprek met Amey Inamdar van Espressif De juiste keuze van microcontroller-ontwikkelkitsvoor IoT- en IIoT-toepassingen Condensatoren gedragen zich niet altijd capacitief! Een NTP-klok met CircuitPythonwaarom zou je deze programmeertaal gebruiken? Bouw een cool IoT-display'met de Phambili Newt De doppler-bewegingssensor HB100theorie en praktijk Een gids voor puristisch programmeren (deel 1)voor STM32 en andere controllers Siglent SDM3045X-multimeter Microprocessoren voor embedded systemenvreemde onderdelen Microcontroller-documentatie verklaarddeel 3: blokschema’s en meer Low-power LoRa-weerstationbouw zelf een weerstation met een groot bereik Transverter voor de 70cm-band Klimaat aan ingenieurssnelheid is geboden! Hexadoku

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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For Speed, Area, Power, and Reliability This book teaches the fundamentals of FPGA operation, covering basic CMOS transistor theory to designing digital FPGA chips using LUTs, flip-flops, and embedded memories. Ideal for electrical engineers aiming to design large digital chips using FPGA technology. Discover: The inner workings of FPGA architecture and functionality. Hardware Description Languages (HDL) like Verilog and VHDL. The EDA tool flow for converting HDL source into a functional FPGA chip design. Insider tips for reliable, low power, and high performance FPGA designs. Example designs include: Computer-to-FPGA UART serial communication. An open-source Sump3 logic analyzer implementation. A fully functional graphics controller. What you need: Digilent BASYS3 or similar FPGA eval board with an AMD/Xilinx FPGA. Vivado EDA tool suite (available for download from AMD website free of charge). Project source files available from author’s GitHub site.

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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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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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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. CaptureCountdétecteur et compteur d'objets basé sur le Raspberry Pi 5 référence de tension avec Arduino Pro Minilinéariser et calibrer les entrées analogiques FPGA pour les débutantsThe Path From MCU to FPGA Programming mise à jour : STM32 Wireless Innovation Design Contest 2024 Bluetooth LE avec MAUIControl Apps for Android & Co. carte d'extension de portsaugmentez le nombre d'E/S de votre carte de développement carte spéciale IAapprentissage automatique avec le Jetson Nano 2024 : l'Odyssée de l'IApremiers essais avec TensorFlow 262 144 façons de jouer au Jeu de la Vieun projet de lecteur en bref sur le vifle souffle du dragon sur mon cou faites tourner votre moteur CCSample Projects from the Elektor Motor Control Development Bundle Adaptateur ESP32-RS-232A Wireless Link for Classic Test Equipment démarrer en électronique…en savoir plus sur les ampli-op bibliothèques ESP recommandées composants piézoélectriques compteur d'objets intelligentreconnaissance d'images simplifiée avec Edge Impulse des solutions à vos problèmes de développement de systèmes embarqués les plus délicats Terminal ESP32un appareil portable avec un écran tactile commencer avec le RTOS Zephyraussi puissant que difficile à maîtriser Award-Winning EthicsDialogue avec Alexander Gerfer, Directeur Technique chez Würth Elektronik eiSos sur la promotion du comportement respectueux et innovant projet 2.0corrections, mises à jour et courrier des lecteurs

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Raspberry Pi Pico as Spectrum AnalyzerFFTs on a Low-Cost Hardware Basis ±40-V Linear Voltage RegulatorAn Alternative Power Supply for the Fortissimo-100 Power Amplifier… and Others! MCU Wireless Communication Made FlexibleEEPROM Opens Networking Prospects for Wireless MCUs €5,000 up for grabs!Join the STM32 Wireless Innovation Design Contest 2023: An AI OdysseyGetting Started with ChatGPT’s Code Interpreter LoRa, a Swiss Army Knife (1)The LoRa Protocol and Its Advantages Adjustable Current Sink with Integrated Clock GeneratorTest Power Supplies, Voltage Converters and Batteries Two New Arduino UNO R4 Boards: Minima and WiFi Logarithmic PotentiometersThey’re Exponential! Motor Driver Breakout BoardA BoB for a 5 A DC Motor Driver with a 3×3 mm Size From Life’s ExperienceHazardous Electronics Is Cellular the Lowest-Power Option for IoT?LTE-M and NB-IoT Energy Requirements in LPWAN Deployments Wireless Communication in IoT Systems – Using Arduino MKR ModulesThe Right Board for Wi-Fi, LoRa, and Many More Standards AC Losses in Magnetic ComponentsAvoid Hot Inductors! Measurement for Optimal Cloud Deployment Matter Adoption: What does it take to deploy Matter devices? YARD Stick OneA Sub-1 GHz Wireless Test Tool Latching RelaysPeculiar Parts, the Series PIC O’Clock – In Touch with TimeDesigning an SDR Time Signal Receiver Due Diligence DirectiveBusiness as Usual Will Not Do Starting Out in Electronics……Voltage Amplification Infrasound Recorder with the Arduino Pro MiniA Sample Project from Elektor’s “Arduino & Co.” Book Cloud-Based Energy MeterWith ESP32 Module and PZEM-004T Voltage/Current Sensor A Bare-Metal Programming Guide (Part 2)Accurate Timing, the UART, and Debugging Hexadoku

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New LCR Meter 50 Hz - 2 MHz Part 1automatic impedance measuring bridge measures the resistance, capacitance and inductance of components with an impedance of 10 mΩ to 100 MΩ From Ding-Dong Door Chime to IoT DoorbellIntegrate your doorbell in Home Assistant with ESPHome Battery ManagementWhat to Be Aware of When Using (Lithium) Batteries Starting Out in ElectronicsEasier Than Imagined! Small Circuits RevivalFrom the Elektor Suggestions Box Breadboard Graphics with Fritzing Analogue Filter Design (Part 2)Active Filters Homelab Tours: The Lap CounterA Project for Mini Petrol-Heads Developer’s ZoneTips & Tricks, Best Practices and Other Useful Information Review: Rigol DS1054Z Four-Channel Oscilloscope Christmas CandleBlow It Out! Tunable Valve Sinewave Generator Retro is back! Review: The Rigol DG2072 Generator KiCad Plugins and Add-ons Differential Oscilloscope Current Probe 2.0Measure Currents Using Your Oscilloscope The Hewlett-Packard Interface LoopConnect the world! The Future of Machine LearningAn Interview with Daniel Situnayake Smartphone Apps for Android and iOSProgramming Apps Within a Single Development Environment From Life's ExperienceThe Value of a Technical Education 5G: How Infrastructure Shapes Our Society Practical ESP32 Multitasking (5)Task event notification HP 10811 OscillatorPeculiar Parts, the series LoRa GPS TrackerWith Open Hardware and Software Programming the Finite State Machinewith 8-bit PICs in Assembly and C

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De SDRplay RSPduo is een hoogwaardige 14-bit SDR-ontvanger met dubbele tuner. De tuner is ondergebracht in een hoogwaardige stalen behuizing en kan afzonderlijk werken tussen 1 kHz en 2 GHz met een bandbreedte tot 10 MHz. Beide tuners kunnen tegelijkertijd werken tussen 1 kHz en 2 GHz met een bandbreedte tot 2 MHz per tuner. Een zeer stabiele referentie en externe klokfuncties maken dit apparaat ideaal voor industriële, wetenschappelijke en educatieve toepassingen. Kenmerken Dubbele tuner biedt onafhankelijke dekking van 1 kHz tot 2 GHz met behulp van 2 antennepoorten tegelijk 14-bits ADC-siliciumtechnologie Tot 10 MHz zichtbare bandbreedte (enkele tunermodus) of 2 slices van 2 MHz spectrum (dubbele tunermodus) 3 softwarematig selecteerbare antennepoorten (2x 50Ω en 1x 1kΩ hoge impedantie gebalanceerde/ongebalanceerde ingang) Antennepoort met hoge impedantie (1 kHz tot 30 MHz) met selecteerbaar MW-notchfilter en keuze uit 2 voorselectiefilters Softwarematig selecteerbare AM/FM- en DAB-uitzendband-notchfilters voor de 2 SMA-antennepoorten (1 kHz tot 2 GHz) Externe klokinvoer en -uitvoer maken eenvoudige synchronisatie met meerdere RSP's of een externe referentieklok mogelijk Wordt gevoed via de USB-kabel met een eenvoudige type B-aansluiting 11 hoogselectieve, ingebouwde front-end preselectiefilters op beide 2 SMA-antennepoorten Softwarematig selecteerbare multi-level Low Noise voorversterker Bias-T voeding voor het voeden van een op de antenne gemonteerde LNA In een robuuste, zwart gelakte stalen behuizing. SDRuno – SDR-software van wereldklasse voor Windows Gedocumenteerde API voor de ontwikkeling van nieuwe apps Specificaties Frequentiebereik 1 kHz – 2 GHz Antenne-aansluiting SMA Antenne-impedantie 50 ohm Stroomverbruik (typisch) Enkele tunermodus: 180 mA (excl. Bias-T)Dubbele tunermodus: 280 mA (excl. Bias-T) USB-aansluiting USB type B Maximaal ingangsvermogen +0 dBm Continu+10 dBm korte duur ADC-samplefrequenties 2-10,66 MSPS ADC-aantal 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 gegarandeerd Referentie Hoge temperatuurstabiliteit (0,5 ppm) 24 MHz TCXOFrequentiefout instelbaar tot 0,01 ppm in het veld Bedrijfstemperatuurbereik −10°C tot +60°C Afmetingen 98 x 94 x 33 mm Gewicht 315 g Downloads Datasheet Detailed Technical Information Software RSPdx-R2 vs RSPduo RSPdx-R2 RSPduo Continue dekking van 1 kHz tot 2 GHz ✓ ✓ Tot 10 MHz zichtbare bandbreedte ✓ ✓ 14-bits ADC siliciumtechnologie plus meerdere krachtige ingangsfilters ✓ ✓ Softwarematig selecteerbare AM/FM & DAB broadcast band notch filters ✓ ✓ 4,7 V Bias-T voor voeding van externe antenneversterker ✓ ✓ Voedt de USB-kabel met een eenvoudige aansluiting type B ✓ ✓ 50Ω SMA-antenne-ingang(en) voor werking van 1 kHz tot 2 GHz (softwarematig instelbaar) 2 2 Extra softwarematig selecteerbare Hi-Z ingang voor werking tot 30 MHz ✓ Extra softwarematig selecteerbare 50Ω BNC-ingang voor werking tot 200 MHz ✓ Extra LF/VLF-filter voor onder 500 kHz ✓ 24 MHz referentieklokingang (+ uitgang op RSPduo) ✓ ✓ Dubbele tuners voor ontvangst op 2 totaal onafhankelijke 2 MHz-bereiken ✓ Dubbele tuners voor diversiteitsontvangst met SDRuno ✓ Robuuste zwartgelakte stalen behuizing ✓ ✓ Algemene prestaties onder 2 MHz voor MW en LF ++ + Meerdere gelijktijdige toepassingen + ++ Prestaties in uitdagende fading-omstandigheden (*met gebruik van diversiteitsafstemming) + *++

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World’s Most Popular ROS PlatformTurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping.Affordable CostTurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01.ROS StandardThe TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS.ExtensibilityTurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Waffle Pi is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure.Modular Actuator for Mobile RobotTurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure.Open Control Board for ROSThe control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups.Open SourceThe hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing.Specifications Maximum translational velocity 0.26 m/s Maximum rotational velocity 1.82 rad/s (104.27 deg/s) Maximum payload 30 kg Size (L x W x H) 281 x 306 x 141 mm Weight (+ SBC + Battery + Sensors) 1.8 kg Threshold of climbing 10 mm or lower Expected operating time 2h Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Remote Controller RC-100B + BT-410 Set (Bluetooth 4, BLE) Actuator XL430-W210 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 Camera Raspberry Pi Camera Module v2.1 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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Praxisnahe Projekte, Profi-Tricks und eigene Anwendungen Dieses Buch führt Sie Schritt für Schritt in die faszinierende Welt der State Machines ein und zeigt, wie Sie Hardware direkt und effizient ansteuern können – jenseits klassischer CPU-gesteuerter Ansätze. In diesem Buch lernen Sie: LEDs und NeoPixel kreativ steuern: Blinken, Dimmen, Farbwechsel und komplexe Animationen Taster und Encoder zuverlässig auslesen und in Echtzeit in Ihre Projekte integrieren Analoge Eingänge (ADC) nutzen und Signale digital steuern Servos präzise ansteuern und Bewegungsabläufe automatisieren SPI mit PIO umsetzen, um Displays, Sensoren und Module anzusteuern Menüsysteme und Submenüs auf SPI-Displays realisieren, inklusive Navigation über mehrere Taster PWM, Signalgenerierung und Frequenzsteuerung für akustische oder visuelle Effekte Debugging-Strategien und Tipps, um Ihre PIO-Programme effizient zu entwickeln Alle Beispiele sind praxisnah, sofort umsetzbar und zuverlässig. Mit klaren Anleitungen, Hintergrundwissen und fertigen Codebeispielen lernen Sie, die PIO-Fähigkeiten des Pico maximal zu nutzen – egal ob für Maker-Projekte, Prototypen oder professionelle Anwendungen. Erleben Sie, wie Sie komplexe Hardwaresteuerung elegant mit dem Pico realisieren können – schneller, flexibler und leistungsfähiger als je zuvor.

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