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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. CaptureCountobjectdetector en -teller op de Raspberry Pi 5 Spanningsreferentie met Arduino Pro Minilineariseer en kalibreer analoge ingangen FPGA’s voor beginnersvan MCU naar FPGA-programmering Update: STM32 Wireless Innovation Design Contest 2024 Bluetooth LE met MAUIbesturingsapps voor Android en co. Port Expander breakout-boardmeer I/O’s op je development board AI-specialistmachine learning met de Jetson Nano 2024: een AI-odysseeeen eerste verkenning van TensorFlow 262.144 manieren om Game of Life te spelenlezersproject in het kort Uit het leven gegrepende Chinese draak Draaien met die (DC-borstel)motor!voorbeeldprojecten uit de Elektor Motor Control Development Bundle ESP32/RS-232-adapterdraadloze verbinding voor klassieke meetinstrumenten Alle begin......gaat verder met de opamp Aanbevolen ESP-bibliotheken Piëzo-elektrische componentenvreemde onderdelen Slimme objecttellereenvoudige beeldherkenning met Edge Impulse Oplossingen voor de lastigste uitdagingen bij embedded ontwikkeling ESP32 Terminalhandheld met aanraakscherm Aan de slag met Zephyr RTOSkrachtig – maar lastig... Bekroonde ethiekeen vraaggesprek met Alexander Gerfer, CTO van Würth Elektronik eiSos, over het faciliteren van innovatie en bewust gedrag Project 2.0correcties, updates en brieven van lezers

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ModbusRTU and ModbusTCP examples with the Arduino Uno and ESP8266 Introduction to PLC programming with OpenPLC, the first fully open source Programmable Logic Controller on the Raspberry Pi, and Modbus examples with Arduino Uno and ESP8266 PLC programming is very common in industry and home automation. This book describes how the Raspberry Pi 4 can be used as a Programmable Logic Controller. Before taking you into the programming, the author starts with the software installation on the Raspberry Pi and the PLC editor on the PC, followed by a description of the hardware. You'll then find interesting examples in the different programming languages complying with the IEC 61131-3 standard. This manual also explains in detail how to use the PLC editor and how to load and execute the programs on the Raspberry Pi. All IEC languages are explained with examples, starting with LD (Ladder Diagram) over ST (Structured Control Language) to SFC (Special Function Chart). All examples can be downloaded from the author's website. Networking gets thorough attention too. The Arduino Uno and the ESP8266 are programmed as ModbusRTU or ModbusTCP modules to get access to external peripherals, reading sensors and switching electrical loads. I/O circuits complying with the 24 V industry standard may also be of interest for the reader. The book ends with an overview of commands for ST and LD. After reading the book, the reader will be able to create his own controllers with the Raspberry Pi.

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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! Kleine WärmebildkameraRealisiert mit einem Arduino UNO Projekt-Update #3: Energiemessgerät mit ESP32Integration und Test mit Home Assistant 2024: Eine Odyssee in die KIVerbessern der Objekterkennung: Nutzung verfeinerter Techniken Raspberry Pi Goes KINeues Kit enthält M.2-HAT mit KI-Beschleuniger Sensoren für WetterstationenWelchen Sensor sollte man wählen? KI-gestützter WasserzählerTeil 1: Bringen Sie Ihren alten Zähler ins IoT! Ein GSM-AlarmNutzung der GSM-Technologie für die Fernüberwachung von Garagen Low-Power-Thread-Geräte optimiert und getestetNiedriger Energiebedarf ... Niedrige Leistung? Aus dem Leben gegriffenDer Gender-Gap Nebelkammer selbstgebautUnsichtbare Strahlung sichtbar machen SparkFun Thing Plus MatterEin vielseitiges Matter-basiertes IoT-Entwicklungsboard IoT-RetrofittingRS232-Geräte fit für Industrie 4.0 machen IoT mit 8-Bit-Mikrocontrollern Technologie als Motor der NachhaltigkeitNeuerungen führen zu Energieeffizienz in vielen Applikationen AWS für Arduino und Co.Teil 1: AWS-IoT-ExpressLink in der Praxis Luftstromdetektor (nur) mit ArduinoKeine externen Sensoren erforderlich! WasserleckdetektorVerbunden mit der Arduino-Cloud QuarzeBemerkenswerte Bauteile Universeller Garten-LoggerEin Schritt auf dem Weg zur KI-gestützten Gartenarbeit Analoger 1-kHz-GeneratorSinuswellen mit geringen Verzerrungen Miletus: Web-Apps offline nutzenSystem- und Gerätezugriff inklusive Von 4G zu 5GIst es wirklich so einfach? Aller Anfang...muss nicht schwer sein: Der Ausgleich

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. CaptureCountAn Object Detector and Counter on the Raspberry Pi 5 Voltage Reference With Arduino Pro MiniLinearize and Calibrate Your Analog Inputs FPGAs for BeginnersThe Path From MCU to FPGA Programming Update: STM32 Wireless Innovation Design Contest 2024 Bluetooth LE With MAUIControl Apps for Android & Co. Port-Expanding Breakout BoardIncrease the Number of I/Os on Your Dev Board AI SpecialistMachine Learning with the Jetson Nano 2024: An AI OdysseyFirst Forays Into TensorFlow 262,144 Ways to Play The Game of LifeA Reader’s Project in Brief From Life’s ExperienceThe Chinese Dragon Get Your (Brushed DC) Motor Running!Sample Projects from the Elektor Motor Control Development Bundle ESP32-RS-232 AdapterA Wireless Link for Classic Test Equipment Starting Out in Electronics……More About Opamps ESP Library Recommendations Piezoelectric DevicesPeculiar Parts, the Series A Smart Object CounterImage Recognition Made Easy with Edge Impulse Resolve Your Trickiest Embedded Development Challenges ESP32 TerminalA Handheld Device with a Touch-Capable Display Getting Started With the Zephyr RTOSAs Powerful as It Is Hard to Master Award-Winning EthicsA Dialog with CTO Alexander Gerfer of Würth Elektronik eiSos on Enabling Innovation and Mindful Behavior Err-lectronicsCorrections, Updates, and Readers’ Letters Infographics: Embedded and AI Square Wave Generation BenchmarksExploring ESP32, Pico, and Other Microcontrollers

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In 35 Projects with the Raspberry Pi and Arduino The Internet of Things (IoT) is a trend with a strong technological impulse. At home, we want to do everything on our tablets, from browsing Facebook to watching TV, from operating lights to keeping an eye on the temperature. In 35 fun projects, this book will show you how to build your own Internet of Things system. We'll cover the hardware (primarily the Raspberry Pi and Arduino) and the software that makes control via Internet possible. We employ Wi-Fi and radio links so no requirement any longer to install cabling crisscross through your home. Assuming the projects in the book are finished, you have a complete Internet of Things system that allows you to control and view of everything in your home. For example, if there's something in the mail box or the car is securely in the garage. Also, you can switch on the lights and the alarm from your couch. The crisp explanations allow the projects to be customized with ease, for example, to turn on your coffee machine or TV remotely. The index gives easy access to creative projects that can serve as an example, enabling you to do all the connecting to the IoT independently. All project software can be downloaded free of charge from the Elektor website. In this unique book, Raspberry Pi, Arduino and HTML webpages with stylesheets and JavaScript come together in clearly-described, easy-to-build projects. This special book is an essential part of your collection!

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This bundle includes the Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit and the new book "Experimenting with Red Pitaya STEMlab Gen 2". The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is a powerful and flexible platform for signal processing, data acquisition, and electronic measurement applications. Designed for engineers, developers, researchers, and educators, this kit provides everything required to start building advanced measurement and control systems. At the core of the kit is the STEMlab 125-14 PRO Gen 2 board, an upgraded and ultra-lightweight development platform. Powered by the Xilinx Zynq-7010 SoC with 512 MB of RAM, it combines FPGA programmability with ARM processing power to enable high-performance instrumentation and custom signal-processing solutions. The board offers 14-bit ADC and DAC resolution, a 125 MS/s sampling rate, an input range of ±20 V, and up to 60 MHz bandwidth. Its improved low-noise analog front-end, USB-C connectivity, and compact design make it suitable for demanding applications such as RF development, radar systems, photonics research, software-defined radio (SDR), and industrial automation. The Starter Kit includes all essential accessories for immediate use: a microSD card with preinstalled operating system, power supply, Ethernet cable for remote access, two 100 MHz oscilloscope probes, and SMA-to-BNC adapters for flexible signal connections. The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is an excellent platform for rapid prototyping, FPGA development, measurement instrumentation, and advanced electronics experimentation. Features 14-bit ADC and DAC resolution 125 MS/s sampling rate ±20 V input range Up to 60 MHz bandwidth Xilinx Zynq-7010 SoC (FPGA + ARM processor) 512 MB RAM Low-noise analog front- and back-ends Applications RF development and testing Radar and wireless systems Software-defined radio (SDR) Photonics and optical research Industrial automation and control systems Signal analysis and instrumentation Rapid prototyping of electronic measurement systems Specifications Processor Dual-core ARM Cortex-A9 FPGA AMD Xilinx Zynq-7010 SoC RAM 512 MB (4 Gb) Storage microSD card (up to 32 GB) Operating System Linux-based Red Pitaya OS ADC Resolution 14-bit DAC Resolution 14-bit Bandwidth 60 MHz (DC) Sampling Rate 125 MS/s Analog Input Channels 2 Analog Output Channels 2 Input Voltage Range ±1 V (LV) / ±20 V (HV) Input Impedance 1 MΩ / 10 pF Output Voltage Range ±1 V Ethernet 1x Gigabit Ethernet (RJ45) USB 2x USB-C 2.0 (for power and console) Digital I/O 16x GPIO (3.3 V) Communication Interfaces I²C, SPI, UART, CAN Power Supply 5 V/3 A via USB-C Dimensions 106.8 x 60.0 x 17.9 mm Included 1x Red Pitaya STEMlab 125-14 PRO Gen 2 board 2x 100 MHz oscilloscope probes 2x SMA-to-BNC adapters 1x microSD card with preinstalled OS 1x USB-C Power supply 1x Ethernet cable Downloads Documentation Schematics Book: Experimenting with Red Pitaya STEMlab Gen 2 With this new book, Red Pitaya goes beyond a versatile board. It becomes a powerful laboratory instrument for precision measurement, analysis, and control. From the fundamentals of electronic project development, monitoring, control, and design to testing, this book walks you step-by-step through everything you need to know to harness the full potential of Red Pitaya hardware and software. The book presents real-time, FPGA-based projects that are developed on a PC using the Vivado environment, then transferred to the Red Pitaya for execution and testing. You will learn about enhanced performance, expanded I/O capabilities, improved FPGA features, and advanced connectivity options that open up new frontiers for precision measurement, monitoring, and control in your embedded applications. Inside the book you will discover: A deep dive into Red Pitaya architecture and hardware design Electronic experiments using Red Pitaya for measurement and monitoring Hands-on projects using the Python programming language Practical guidance for FPGA programming using Red Pitaya Red Pitaya FPGA projects using the Verilog HDL under Vivado IDE Practical design of electronic projects including measurement and testing Step-by-step examples that bridge theory and real-world implementation Whether you are designing your own electronic circuits, developing signal analysis tools, or creating real-time control or monitoring systems, this book provides you the knowledge and confidence you need to fully learn and customize the Red Pitaya platform.

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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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Develop innovative hardware-based projects in C The Raspberry Pi has traditionally been programmed using Python. Although this is a very powerful language, many programmers may not be familiar with it. C on the other hand is perhaps the most commonly used programming language and all embedded microcontrollers can be programmed using it. The C language is taught in most technical colleges and universities and almost all engineering students are familiar with using it with their projects. This book is about using the Raspberry Pi with C to develop a range of hardware-based projects. Two of the most popular C libraries, wiringPi and pigpio are used. The book starts with an introduction to C and most students and newcomers will find this chapter invaluable. Many projects are provided in the book, including using Wi-Fi and Bluetooth to establish communication with smartphones. Many sensor and hardware-based projects are included. Both wiringPi and pigpio libraries are used in all projects. Complete program listings are given with full explanations. All projects have been fully tested and work. The following hardware-based projects are provided in the book: Using sensors Using LCDs I²C and SPI buses Serial communication Multitasking External and timer interrupts Using Wi-Fi Webservers Communicating with smartphones Using Bluetooth Sending data to the cloud Program listings of all Raspberry Pi projects developed in this book are available on the Elektor website. Readers can download and use these programs in their projects. Alternatively, they can customize them to suit their applications.

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BEELDVERWERKING MET DE NVIDIA JETSON NANO (DEEL 2)Beeldherkenning met Edge Impulse NIEUWS VAN ELEKTOR JUMPSTARTERNieuwe campagnes EEN OPEN SOURCE-PLATFORM VOOR GPS-TRACKINGMet Traccar voertuigen volgen zonder gebruik te maken van een cloudserver JOY-IT LCR-T7 MULTIFUNCTIONELE TESTERVoor passieve componenten, discrete halfgeleiders en IR RUISSYNTHESIZERVan ruis naar muziek met de PRBSynth1 ALLE BEGIN......speelt verder met de spoel KENNISMAKING MET NEURONEN IN NEURALE NETWERKEN (DEEL 2)Logische Neuronen BEVEILIGINGSPROBLEMEN? BESTRIJD VUUR MET VUUR!Met flitslampje beveiligde analoge geheugenuitbreiding voor de verzendbox met manipulatie-indicatie LCR METER POSTER BLUETOOTH-BAKENS IN DE PRAKTIJKindoor-plaatsbepaling PROGRAMMEREN IN C OP DE RASPBERRY PICommunicatie via WiFi (een hoofdstuk als voorbeeld) EMC PRE-COMPLIANCE TEST VOOR UW DC-GEVOED PROJECT (DEEL 2)De hardware en het gebruik ervan KENNISMAKING MET DE PARALLAX PROPELLER 2 (DEEL 5)Smart Pin-Functie MODBUS VIA WLAN (DEEL 1)Hardware en programmering OOST WEST LAB BEST... waar de Junior Computer weer tot leven is gewekt BOUW ZELF EEN NAUWKEURIGE KALIBRATOR-10 V tot +10 V, 0 tot 40 mA, 0,001% REVIEW: ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + WiFi + Bluetooth DE FYSIEKE KANT VAN KUNSTMATIGE INTELLIGENTIE PROJECT 2.0Correcties, Updates en Brieven van lezers MAAK GUI'S MET PYTHONIntroductie in guizero CO2-METER-BOUWKIT VOOR IN DE KLASEen ESP8266-project van de University of Applied Sciences Aachen NOSTALGISCHE MK484 MW/LW-RADIO...Altijd leuk om te bouwen! ELEKTOR @ 60Laat er licht zijn! HEXADOKUThe Original Elektorized Sudoku

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Dit boek gaat over de Raspberry Pi, en over het programmeren in C. De programmeertaal C en het besturingssysteem Linux (Raspbian) passen uitstekend bij elkaar. Alles wat we nodig hebben om in C te programmeren wordt meegeleverd met het besturingssysteem van de Raspberry Pi. In dit boek leert u hoe C gebruikt wordt met de Raspberry Pi, en krijgt u een overzicht van de taal. WiringPi is een softwarebibliotheek voor de Raspberry Pi waarmee C hardware-uitbreidingen kan benaderen. Die bibliotheek wordt gebruikt om sensoren uit te lezen en om extra hardware aan te sturen. U gaat experimenteren met LED’s en schakelaars, met motoren, met geluid en met sensoren voor temperatuur, luchtdruk, en luchtvochtigheid. Met een Linux-systeem kunt u een webserver maken, inclusief interactieve websites met PHP en WiringPi. Daarom is ook een beknopt overzicht van HTML en PHP in het boek opgenomen. In de voorbeelden worden sensoren via het web uitgelezen en worden apparaten bestuurd. In het laatste voorbeeld wordt een temperatuurlogger gemaakt. Die meet elk kwartier de temperatuur. Een tabel met de meetwaarden kan via het web worden uitgelezen. Alle voorbeeldprogramma’s kunnen worden gedownload van de website van Elektor.

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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Sensoren am Raspberry Pi (E-book)

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