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This complete Raspberry Pi Pico microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming with Arduino using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the Raspberry Pi Pico This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming in C/C++ with the Raspberry Pi Pico using the Arduino IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It For? Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform Raspberry Pi Pico microcontroller board + USB cable Book: Programming Microcontrollers in C/C++ Using Arduino Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. MultiRF Dev BoardA Platform for Evaluating Short- and Long-Range Wireless Protocols Elektor at 65Disrupting Electronics Since 1961 Wi-Fi-Based Person Detection on an ESP32When Your Router Becomes a Motion Sensor Wireless ScalesFour Small Scales = One Big Scale Walter, the Compact IoT ModuleESP32-S3 SoC, LTE-M/NB-IoT 5G Modem, and GNSS Receiver 3- and 4-Wire RTD Sensors ConditioningWith Full-Scale Adjustment and Cable Compensation 3-in-1 2-Channel Oscilloscope/Generator/MultimeterA Review of The Fnirsi 2D15P electronica Fast Forward 2026 Invites Startups and Industry Partners EcologgingA Modular Environmental IoT Station for Field Research Wireless Connectivity in Medical ApplicationsAlways on the Pulse with Bluetooth LE AudiotronicsHum Reduction Increasing Agricultural Efficiency with AI Modeling and SensorsBoosting Agricultural Productivity OPC UA — An OverviewPlatform-Independent Data Exchange Redox Meter Instrumentation Amplifier for Physics and Engineering Experiments Active Differential Audio FiltersFor Professional Crossovers and More Elektor Community Perspectives on IoT & Sensors Telegram-Controlled Water Heater Interface ModuleA Solution Based on an ESP32 and Arduino Software 2026: An AI OdysseyWhatever Happened to Fuzzy Logic? Err-lectronics Alarm Signal Injector Plus PowerTools for Finding Broken Wires

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23 projects to bring your microcontroller to life! This book contains 23 special and exciting artificial intelligence machine-learning projects, for microcontroller and PC. Learn how to set up a neural network in a microcontroller, and how to make the network self-learning. Discover how you can breed robots, and how changing a fitness function results in a totally different behavior. Find out how a PC program exposes your weak spots in a game, and ruthlessly exploits them. Build a free-will robot, or have one clean your floor! Example projects from the book: A microcontroller that learns what your favourite color is. A robot wandering about the house looking for someone to play with. A bred robot program that is incapable of crossing a black line. A microcontroller that learns how to play a game until You just can't win anymore. A PC that programs a microcontroller all by itself. Complete with free software that you can download containing: All source code for the microcontroller. All sources of compiled PC programs (MS Windows). JAL programming language, with special editor and extension libraries. Robot breed program. Plus a support webpage with links, errata and FAQ. Several artificial intelligence techniques are discussed and used in projects such as expert system, neural network, subsumption, emerging behavior, genetic algorithm, cellular automata and roulette brains. Every project has clear instructions and pictures so you can start immediately. Suggestions and literature links allow you to go way beyond the scope of the book. Even after you have built all the projects contained within, this book will remain a valuable reference guide to keep next to your PC. A unique book for anyone with an interest in artificial intelligence and machine learning.

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Hebt u altijd al uw elektronicaproject willen aansturen vanuiteen kleurrijke app op een Android smartphone of tablet? Dat is mogelijk met het in dit boek beschreven Android I/O-board. Met de bijbehorende software-library kunt u in Android Studio eenvoudig zelf een app programmeren die dit mogelijk maakt. Het Android I/O-board (los verkrijgbaar, wordt niet met boek meegeleverd!) bezit 22 pennen die u vanuit een app kunt aansturen als digitale I/O, ADC, PWM, touch-sensing en counter. Het Android I/O-board kan met de Android smartphone communiceren via Bluetooth, WiFi of USB. Het board is ook als datalogger te gebruiken. Kortom, dit is een veelzijdig board dat in ieder project past. Dit boek beschrijft stap voor stap hoe u uw project tot een succes kunt maken. Het boek behandelt gestructureerd de volgende onderwerpen: Een snelle handleiding hoe u uw Android I/O-board up and running krijgt. Een uitleg van alle mogelijkheden van het Android I/Oboard, met uitgebreide voorbeelden bij de verschillende opties. Een stap-voor-stap handleiding hoe u een app kunt programmeren in Android Studio. Een beschrijving van de firmware op het Android I/O-board en hoe u dit zelf met MPLAB-X kunt aanpassen. Voorbeeld-projecten om inspiratie op te doen hoe u uw eigen project kunt aansturen met het Android I/O-board.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. PbMonitor v1.0A Battery-Monitoring System for UPS and Energy Storage Applications Solar Charge Controller with MPPT (1)Basic Principles of a Solar Controller for Stand-Alone Systems B-Field Integration Magnetometer With Home-Made Sensors Precise or Accurate?Your Instruments Need to Be Both! AD7124 A Precision ADC in PracticeFeatures for Sensor Signal Conditioning PID Control ToolOptimize Your Parameters Easily embedded world 2025 Starting Out in Electronics……Continues with Tone Control Academy Pro BoxBook + Online Course + Hardware Milliohmmeter AdapterUses the Precision of Your Multimeter The Next Leap in SemiconductorsOnward Toward 1.4 nm Through-Hole Technology ConnectorsThe Best of Two Worlds: THR Frequency CounterPortable and Auto-Calibrating Via GPS Analog MetersPeculiar Parts, the Series Stand-Alone Crystal TesterHow Accurate Is Your Clock Source? Low-Cost I²C TesterConnect I²C Devices Directly to Your PC From Life’s ExperienceWho Doesn’t Honor the Small Things? 2025: An AI OdysseyThe Transformative Impact on Software Development Err-lectronicsCorrections, Updates, and Readers’ Letters Raspberry Pi Standalone MIDI Synthesizer (2)Enhancing Our Setup with Intelligence Nortonized Wien Bridge OscillatorSmall Changes Yield Significant Improvements Putting a $0.10 Controller to the TestThe CH32V003 RISC-V Microcontroller and MounRiver Studio in Practice An FPGA-Based Audio Player with Equalizer (2)Adding Volume Control, Advanced Mixing, and a Web Interface

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Multitasking and multiprocessing have become a very important topic in microcontroller-based systems, namely in complex commercial, domestic, and industrial automation applications. As the complexity of projects grows, more functionalities are demanded from the projects. Such projects require the use of multiple inter-related tasks running on the same system and sharing the available resources, such as the CPU, memory, and input-output ports. As a result of this, the importance of multitasking operations in microcontroller-based applications has grown steadily over the last few years. Many complex automation projects now make use of some form of a multitasking kernel. This book is project-based and its main aim is to teach the basic features of multitasking using the Python 3 programming language on Raspberry Pi. Many fully tested projects are provided in the book using the multitasking modules of Python. Each project is described fully and in detail. Complete program listings are given for each project. Readers should be able to use the projects as they are, or modify them to suit their own needs. The following Python multitasking modules have been described and used in the projects: Fork Thread Threading Subprocess Multiprocessing The book includes simple multitasking projects such as independently controlling multiple LEDs, to more complex multitasking projects such as on/off temperature control, traffic lights control, 2-digit, and 4-digit 7-segment LED event counter, reaction timer, stepper motor control, keypad based projects, car park controller, and many more. The fundamental multitasking concepts such as process synchronization, process communication, and memory sharing techniques have been described in projects concerning event flags, queues, semaphores, values, and so on.

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Develop your own custom home automation devices Espressif's ESP8266 and ESP32 microcontrollers have brought DIY home automation to the masses. However, not everyone is fluent in programming these microcontrollers with Espressif's C/C++ SDK, the Arduino core, or MicroPython. This is where ESPHome comes into its own: with this project, you don’t program your microcontroller but configure it. This book demonstrates how to create your own home automation devices with ESPHome on an ESP32 microcontroller board. You’ll learn how to combine all kinds of electronic components and automate complex behaviours. Your devices can work completely autonomously, and connect over Wi-Fi to your home automation gateways such as Home Assistant or MQTT broker. By the end of this book, you will be able to create your own custom home automation devices the way you want. Thanks to ESPHome and the ESP32, this is within everyone’s grasp. Set up an ESPHome development environment and create maintainable configurations Use buttons and LEDs Sound a buzzer and play melodies Read measurements from various types of sensors Communicate over a short distance with NFC, infrared light, and Bluetooth Low Energy Show information on various types of displays Downloads Software

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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. STM32 Wireless Innovation Design Contest: de winnaars In-circuit LC-meteroverwegingen bij een prototype AmpVolt: een modulaire DC-vermogensmeter (deel 1)meet gelijkstroom en energieverbruik tot 50 V en 5 A embedded world 2024 Elektronische apparatuur reparerentools, technieken en tips Alle begin... - NL TRANSLATION...gaat verder met de opamp-theorie Eenvoudige DDS-signaalgeneratordirecte digitale synthese in zijn puurste vorm Sparkplug bekekenspecificatie voor MQTT-data De CRTCvreemde onderdelen Radargestuurde verlichtingautomatische trapverlichting met personendetectie Digitale waterpas en actieve stroboscoop voor draaitafelsregel je platenspeler perfect af met dit alles-in-één tool Onderzoek naar de uitdagingen en commerciële waarde van open source-elektronica (2) Ronde M12-connector met A-coderingvoorkeursoplossing voor industriële toepassingen Het Arduino-Inside Measurement Labeen 8-in-1 test- en meetinstrument voor de elektronica-werkbank Frequentie-, fase- en impedantieanalyse met een geluidskaartvoor frequenties van 100 Hz tot 90 kHz Zuurgraad meten met de Arduino UNO R4controleer de waterkwaliteit Uit het leven gegrepenpangpongbilletjes-lanceermachine FNIRSI 1014D digitale geheugenoscilloscoopgoede prestaties voor weinig geld 2024: een AI-odysseeobjectdetectie aan de praat krijgen 10MHz-referentiegeneratorzeer nauwkeurig, met verdeler en galvanische isolatie Project-update #2: ESP32-gebaseerde energiemeterenkele verbeteringen Project 2.0correcties, updates en brieven van lezers Een vraaggesprek met Eben Upton, CEO van Raspberry Pide Raspberry Pi 5 – en daarna

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Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR The RTL-SDR devices (V3 and V4) have gained popularity among radio amateurs because of their very low cost and rich features. A basic system may consist of a USB based RTL-SDR device (dongle) with a suitable antenna, a Raspberry Pi 5 computer, a USB based external audio input-output adapter, and software installed on the Raspberry Pi 5 computer. With such a modest setup, it is possible to receive signals from around 24 MHz to over 1.7 GHz. This book is aimed at amateur radio enthusiasts and electronic engineering students, as well as at anyone interested in learning to use the Raspberry Pi 5 to build electronic projects. The book is suitable for both beginners through experienced readers. Some knowledge of the Python programming language is required to understand and eventually modify the projects given in the book. A block diagram, a circuit diagram, and a complete Python program listing is given for each project, alongside a comprehensive description. The following popular RTL-SDR programs are discussed in detail, aided by step-by-step installation guides for practical use on a Raspberry Pi 5: SimpleFM GQRX SDR++ CubicSDR RTL-SDR Server Dump1090 FLDIGI Quick RTL_433 aldo xcwcp GPredict TWCLOCK CQRLOG klog Morse2Ascii PyQSO Welle.io Ham Clock CHIRP xastir qsstv flrig XyGrib FreeDV Qtel (EchoLink) XDX (DX-Cluster) WSJT-X The application of the Python programming language on the latest Raspberry Pi 5 platform precludes the use of the programs in the book from working on older versions of Raspberry Pi computers.

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A Reference and User Guide for the Arduino Uno Hardware and Firmware A manual providing up-to-date hardware information for the popular Arduino Uno, the easy to use open-source electronics platform used by hobbyists, makers, hackers, experimenters, educators and professionals. Get all the information that you need on the hardware and firmware found on Arduino Uno boards in this handy reference and user guide. ldeal for the workbench or desktop Contains all of the Arduino Uno hardware information in one place Covers Arduino / Genuino Uno revision 3 and earlier boards Easily find hardware technical specifications with explanations Pin reference chapter with interfacing examples Diagrams and illustrations for easy reference to alternate pin functions and hardware connections Learn to back up and restore firmware on the board, or load new firmware Basic fault finding and repair procedures for Arduino Uno boards Power supply circuits simplified and explained Mechanical dimensions split into five easy to reference diagrams Contains circuit diagrams, parts list and board layout reference to easily locate components

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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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This book is about advanced programming of the Raspberry Pi computer using the Python programming language. The book explains in simple terms and with examples: How to configure the Raspberry Pi computer; How to install and use the Linux operating system and the desktop; How to write advanced programs using the Python programming language; How to use graphics in our programs; How to develop hardware based projects using the Raspberry Pi. The book starts with an introduction to the Raspberry Pi computer and covers the topics of purchasing all the necessary accessories and installing and operating the Linux operating system in command mode. The network interface of the RPi is explained in simple steps, demonstrating how the computer can be accessed remotely from a desktop or a laptop computer. The remaining parts of the book cover the Python programming language in detail, including advanced topics such as operating system calls, multitasking, interprocess synchronization and interprocess communication techniques. The important topic of network programming using UDP and TCP protocols is described with working examples. The Tkinter graphical user interface module (GUI) is described in detail with example widgets and programs. The last part of the book includes hardware projects based on using the advanced programming topics such as multitasking and interprocess communication techniques. All the projects given in the book have been fully tested and are working. Complete program listings of all projects are provided with detailed explanations.

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