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Eerste stappen met een ESP32-C3 en het IoTWiFi-knop en -relais IoT Cloud à la Arduino Arduino-shield met dubbele Geiger-Müller buisuiterst gevoelige en zeer zuinige stralingssensor CO2-wachterluchtkwaliteit bewaken – doe het zelf! MonkMakes Air Quality Kit voor de Raspberry Pimeet temperatuur en eCO2 Alle begin......verwelkomt de diode Tips & trucs voor het testen van componentenzonder kostbare apparatuur Reduceer het stroomverbruik van uw mollenverjagerATtiny13 in plaats van 555 Lichtschakelaar DeLuxuiterst nauwkeurig lichtgestuurd schakelen Uitdagingen bij het op de markt brengen van IoT-oplossingenzorgen over veiligheid, schaalbaarheid en de concurrentie Elektor Infographics Toch beter bedraadTips voor het ontwikkelen van een 1 Gbit/s interface in de industriële omgeving Edge Impulse FOMOreal-time objectdetectie voor MCU’s Lopende-golfbuisVreemde onderdelen, de serie Smalband-Internet of Thingsstandaarden, dekking, overeenkomsten en modules Dragino LPS8 indoor-gatewayLoRaWAN-gateway snel geïnstalleerd Ontdek ATtiny-microcontrollers met behulp van C en assemblervoorbeeldhoofdstuk: ATtiny I/O-poorten Project 2.0correcties, updates en brieven van lezers LoRa GPS-tracker updateontvang en toon de locatie met een Raspberry Pi Schakelingen simuleren met TINA Design Suite & TINACloudvoorbeeldhoofdstuk: sinusoscillatoren Uit het leven gegrepenlopendebandwerk Het WinUI grafische framework voor Windows-appseen kleine demo-applicatie GUI's maken met Python's Werelds slechtste GUI Off-grid PV-systeemelektrische energie onafhankelijk van het net De 10-jaar-smartphonestel uw verwachtingen bij Hexadoku

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This bundle contains the AI Fusion Lab Kit – which includes over 450 components – and the book Physical AI with Raspberry Pi, offering a comprehensive, hands-on introduction to AI, electronics, and Python programming. Build practical projects that combine computer vision, voice interaction, sensors, motors, and large language models. The included book guides you step by step from Raspberry Pi setup and hardware control to advanced applications using OpenCV, MediaPipe, YOLO, OpenAI services, and local Ollama models. SunFounder AI Fusion Lab Kit for Raspberry Pi (450+ parts) The AI Fusion Lab Kit transforms a Raspberry Pi into a complete platform for learning artificial intelligence, electronics, and Python programming. It supports Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W, as well as popular AI models and services including ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama. With its camera, Pan-Tilt HAT, 10-axis sensor module, microphone, speaker, and electronic components, the kit enables users to build interactive AI projects that combine voice, vision, movement, and sensor data. It is suitable for beginners, students, makers, and anyone who wants to explore practical AI applications. Build Multimodal AI Projects Combine large language models with speech recognition, text-to-speech, camera vision, sensors, and breadboard circuits. Create projects that can listen, speak, see, react, and interact with their environment while learning how modern AI systems work. Explore AI Vision and Object Tracking Use YOLO, OpenCV, and MediaPipe to detect and track objects, colors, faces, and human movement. The motorized Pan-Tilt HAT allows the camera to follow targets automatically, demonstrating how computer vision and motion control work together. Voice AI with the Fusion HAT+ The Fusion HAT+ simplifies hardware control through a unified Python library and supports safe Raspberry Pi shutdown. Its integrated microphone and speaker make it easy to develop voice-controlled assistants and other conversational AI applications. Compatible with Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W Supports multiple cloud-based and local AI models Includes camera, Pan-Tilt HAT, 10DOF module, microphone, and speaker Projects covering voice AI, computer vision, sensors, and electronics Video lessons, documentation, and sample code Book: Physical AI with Raspberry Pi Using the Raspberry Pi and the AI Fusion Lab Kit, this book takes you step by step from the fundamentals of hardware interfacing to the development of intelligent systems capable of seeing, listening, speaking, and making decisions. Whether you are a student, educator, maker, or professional engineer, you will gain valuable experience through projects designed to build both knowledge and confidence. Beginning with system setup, GPIO programming, sensors, displays, motors, and automation techniques, the book gradually introduces more advanced topics, including speech recognition, text-to-speech synthesis, conversational AI, object recognition, and machine learning. Along the way, you will learn how to create voice-controlled devices, intelligent assistants, camera tracking systems, environmental monitoring solutions, and AI-powered embedded applications. Explore modern technologies such as OpenAI services, Ollama local large language models, OpenCV, MediaPipe, and YOLO object detection while gaining practical experience with real-world applications used in robotics, industrial automation, smart devices, and autonomous systems. You’ll discover how intelligent software can interact with sensors, cameras, motors, and displays to create systems that respond naturally to the world around them. Rather than simply following code examples, you will be encouraged to experiment, customize, and expand every project. The techniques and skills developed throughout this book provide a solid foundation for future innovation, rapid prototyping, research, and product development. If you are ready to move beyond traditional electronics and explore the future of intelligent embedded systems, this book will guide you every step of the way. This bundle contains: SunFounder AI Fusion Lab Kit for Raspberry Pi (normal price: €100) Book: Physical AI with Raspberry Pi (normal price: €45) Not included Raspberry Pi

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Over 180 Projects with Raspberry Pi, Pico W, Arduino, and ESP32 This bundle contains the Universal Maker Sensor Kit, which consists of many sensors, actuators, displays, and motors. It’s perfect for environmental monitoring, smart home projects, robotics, and game controllers. The new Elektor book describes the design of many projects using the kit together with the popular Raspberry Pi, Raspberry Pi Pico W, Arduino Uno, and the ESP32 family of development boards. You can choose any of these development boards for your projects and either use the provided programs as they are, or modify these programs to suit your applications. This bundle contains: Book: Universal Maker Sensor Kit (normal price: €45) Universal Maker Sensor Kit for Raspberry Pi, Pico W, Arduino, ESP32 (normal price: €70) Book: Universal Maker Sensor Kit Learn to use more than 35 Sensors and Actuators with C++, Python, and MicroPython This book contains over 180 projects for all four major development boards (Arduino, Raspberry Pi, Pico W, and ESP32). Depending on the development board, projects are available in the C, Python, or MicroPython programming languages. The project titles, brief descriptions, wiring diagrams, and full program listings together with their detailed descriptions are given in the guide. Universal Maker Sensor Kit (for Raspberry Pi, Pico W, Arduino, ESP32) Discover endless creativity with the Universal Maker Sensor Kit, designed for use with Raspberry Pi, Pico W, Arduino, and ESP32. This versatile kit offers compatibility across popular development platforms, including Arduino Uno R4 Minima/WiFi, Uno R3, Mega 2560, Raspberry Pi 5, 4, 3B+, 3B, Zero, Pico W, and ESP32. Featuring over 35 sensors, actuators, and displays, it's perfect for projects ranging from environmental monitoring and smart home automation to robotics and interactive gaming. Step-by-step tutorials in C/C++, Python, and MicroPython guide beginners and experienced makers alike through 169 exciting projects. Features Wide Compatibility: Fully supports Arduino (Uno R3, Uno R4 Minima/WiFi, Mega 2560), Raspberry Pi (5, 4, 3B+, 3B, Zero, Pico W), and ESP32, enabling extensive flexibility across numerous development platforms. Includes instructions for building 169 projects. Comprehensive Components: Features more than 35 sensors, actuators, and display modules suitable for diverse projects such as environmental monitoring, smart home automation, robotics, and interactive game controllers. Detailed Tutorials: Provides clear, step-by-step tutorials covering Arduino, Raspberry Pi, Pico W, ESP32, and each included component. Tutorials are available in C/C++, Python, and MicroPython, catering effectively to both beginners and experienced makers. Suitable for All Skill Levels: Offers structured projects designed to guide users seamlessly from beginner to advanced proficiency in electronics and programming, enhancing creativity and technical expertise. Kit includes Breadboard Button Module Capacitive Soil Moisture Module Flame Sensor Module Gas/Smoke Sensor Module (MQ2) Gyroscope & Accelerometer Module (MPU6050) Hall Sensor Module Infrared Speed Sensor Module IR Obstacle Avoidance Sensor Module Joystick Module PCF8591 ADC DAC Converter Module Photoresistor Module PIR Motion Module (HC-SR501) Potentiometer Module Pulse Oximeter and Heart Rate Sensor Module (MAX30102) Raindrop Detection Module Real Time Clock Module (DS1302) Rotary Encoder Module Temperature Sensor Module (DS18B20) Temperature and Humidity Sensor Module (DHT11) Temperature, Humidity & Pressure Sensor (BMP280) Time of Flight Micro-LIDAR Distance Sensor (VL53L0X) Touch Sensor Module Ultrasonic Sensor Module (HC-SR04) Vibration Sensor Module (SW-420) Water Level Sensor Module I²C LCD 1602 OLED Display Module (SSD1306) RGB LED Module Traffic Light Module 5 V Relay Module Centrifugal Pump L9110 Motor Driver Module Passive Buzzer Module Servo Motor (SG90) TT Motor ESP8266 Module JDY-31 Bluetooth Module Power Supply Module Documentation Online Tutorial

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Over 40 Fully Tested ESP32 Projects Using Arduino IDE and the LVGL Graphics Library This bundle includes the ESP32 Cheap Yellow Display (CYD) – a compact development board combining a standard ESP32 microcontroller with a 320x240 pixel TFT color display. The board also features multiple connectors for GPIO, serial communication (TX/RX), power, and ground. The built-in display is a major advantage, allowing users to create complex, graphics-based projects without the need for external LCDs or displays. The accompanying book introduces the CYD board's hardware and on-board connectors in detail. It provides a range of beginner to intermediate-level projects developed using the popular Arduino IDE 2.0. Both basic graphics functions and the powerful LVGL graphics library are covered, with practical projects illustrating each approach. All included projects have been fully tested and are ready to use. The book provides block diagrams, circuit schematics, complete code listings, and step-by-step explanations. With the LVGL library, readers can create modern, full-color graphical interfaces using widgets such as buttons, labels, sliders, calendars, keyboards, charts, tables, menus, animations, and more. ESP32 Cheap Yellow Display Board This development board (also known as "Cheap Yellow Display") is powered by the ESP-WROOM-32, a dual-core MCU with integrated Wi-Fi and Bluetooth capabilities. It operates at a main frequency of up to 240 MHz, with 520 KB SRAM, 448 KBROM, and a 4 MB Flash memory. The board features a 2.8-inch display with a resolution of 240x320 and resistive touch. Furthermore, the board includes a backlight control circuit, touch control circuit, speaker drive circuit, photosensitive circuit, and RGB-LED control circuit. It also provides a TF card slot, serial interface, DHT11 temperature and humidity sensor interface, and additional IO ports. The module supports development in Arduino IDE, ESP-IDE, MicroPython, and Mixly. Applications Image transmission for Smart Home device Wireless monitoring Smart agriculture QR wireless recognition Wireless positioning system signal And other IoT applications Specifications Microcontroller ESP-WROOM-32 (Dual-core MCU with integrated Wi-Fi and Bluetooth) Frequency Up to 240 MHz (computing power is up to 600 DMIPS) SRAM 520 KB ROM 448 KB Flash 4 MB Operating voltage 5 V Power consumption approx. 115 mA Display 2.8-inch color TFT screen (240 x 320) Touch Resistive Touch Driver chip ILI9341 Dimensions 50 x 86 mm Weight 50 g Downloads GitHub This bundle contains: The ESP32 Cheap Yellow Display Book (normal price: €35) ESP32 Cheap Yellow Display Board (normal price: €25) 1x ESP32 Dev Board with 2.8" Display and acrylic Shell 1x Touch pen 1x Connector cable 1x USB cable

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Your First Steps with an ESP32-C3 and the IoTA Wi-Fi Button and Relay IoT Cloud a la Arduino Dual Geiger-Müller Tube Arduino ShieldA High Sensitivity, Very Low-Power Radiation Sensor CO2 GuardA DIY Approach to Monitoring Air Quality MonkMakes Air Quality Kit for Raspberry PiMeasures Temperature and eCO2 Starting Out in ElectronicsWelcome to the Diode Tips & Tricks for Testing ComponentsNo Expensive Equipment Required Reducing the Power Consumption of Your Mole RepellerAn ATtiny13 Replaces a 555 Light Switch DeLuxA Solution for High-Precision Light-Controlled Switching The Challenges in Bringing IoT Solutions to MarketWorries Around Security, Scalability, and Competition Infographics 5-6/2022 Preferably Wired After AllTips for Developing a 1 Gbit/s Interface in an Industrial Environment Bringing Real-Time Object Detection to MCUs with Edge Impulse FOMO Traveling-Wave TubesPeculiar Parts, the Series Narrowband Internet of ThingsStandards, Coverage, Agreements, and Modules Dragino LPS8 Indoor GatewaySpeedy LoRaWAN Gateway Setup Explore ATtiny Microcontrollers Using C and Assembly LanguageSample Chapter: ATtiny I/O Ports Err-lectronicsCorrections, Updates and Readers’ Letters LoRa GPS Tracker UpdateReceive and Show Location Using a Raspberry Pi Circuit Simulation with TINA Design Suite & TINACloudSample Chapter: Sinusoidal Oscillators From Life’s ExperienceAssembly Line Work The WinUI Graphics Framework for Windows AppsA Small Demo Application GUIs with PythonWorst GUI of the world Off-Grid Solar SystemsElectrical Energy Independent of the Mains Grid The 10-Year SmartphoneRenew Your Expectations HexadokuThe Original Elektorized Sudoku

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Comprehensive Book-Hardware Bundle for the RP2040 Microcontroller with over 80 Projects Unlock the potential of modern controller technology with the Raspberry Pi Pico in this bundle. Perfect for both beginners and experienced users, the easy-to-follow guide takes you from the basics of electronics to the complexities of digital signal processing. With the Raspberry Pi Pico, the dedicated hardware kit and MicroPython programming, you will learn the key principles of circuit design, data collection, and processing. Get hands-on with over 80 projects like a stopwatch with an OLED display, a laser distance meter, and a servo-controlled fan. These projects are designed to help you apply what you've learned in real-world scenarios. The book also covers advanced topics like wireless RFID technology, object detection, and sensor integration for robotics. Whether you're looking to build your skills in electronics or dive deeper into embedded systems, this bundle is the perfect resource to help you explore the full potential of the Raspberry Pi Pico. Contents of the Bundle 1x Project Book (273 pages) 1x Smart Car Kit Electronic Parts 2x Solderless breadboard (400 holes) 1x Solderless breadboard (170 holes) 5x Colorful 5 mm LEDs (green, red, blue, yellow and white) 1x Laser transmitter 1x Passive buzzer 1x Micro USB cable (30 cm) 1x 65 Jumper wires 1x 20 cm male to female Dupont wire 1x Clear case 1x Magnet (diameter: 8 mm, thickness: 5 mm) 1x Rotary potentiometer 10x 2 KΩ resistors 2x M2.5x30 mm copper pillars 10x Phillips pan head screws 10x M2.5 nickel hex nuts 1x 2-inch dual-purpose screwdriver Modules 1x RGB module 1x 9G servo 1x Dual-axis XY joystick module 1x RC522 RFID module 1x 4 Bits digital LED display module 1x Traffic light display module 1x Rotary Encoder module 1x 1602 LCD Display module (Blue) 1x Photoresistor module 1x DC motor with male Dupont wire 1x Fan blade 1x Raindrops module 1x OLED module 1x Membrane switch keyboard 1x Mini magnetic spring module 1x Infrared remote control 1x Infrared receiver module 1x DC stepper motor driver board 1x Button Sensors 1x Vibration sensor 1x Soil moisture sensor 1x Sound sensor 1x Mini PIR motion sensor 1x Temperature & Humidity sensor 1x Flame sensor 2x Crash sensor 2x Tracking sensor 1x Ultrasonic sensor

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – 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. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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Arduino-compatible, ESP32-controlled, 2-wheeled Balancing Robot The Elektor Mini-Wheelie is an experimental autonomous self-balancing robot platform. Based on an ESP32-S3 microcontroller, the self-balancing robot is fully programmable using the Arduino environment and open-source libraries. Its wireless capabilities allow it to be controlled remotely over Wi-Fi, Bluetooth or ESP-NOW or to communicate with a user or even another robot. An ultrasonic transducer is available for detecting obstacles. Its color display can be used for displaying cute facial expressions or, for the more down-to-earth users, cryptic debug messages. The robot comes as a neat kit of parts that you must assemble yourself. Everything is included, even a screwdriver. Note: The Mini-Wheelie is an educational development platform intended for learning, experimentation, and robotics development. It is not classified as a toy for children, and its features, documentation, and intended audience reflect this purpose. The product is aimed at students, educators, and developers who wish to explore robotics, programming, and hardware integration in an educational setting. Specifications ESP32-S3 microcontroller with Wi-Fi and Bluetooth MPU6050 6-axis Inertial Measurement Unit (IMU) Two independently controlled 12 V electric motors with tachometer Ultrasonic transducer 2.9" TFT color display (320 x 240) MicroSD card slot Battery power monitor 3S rechargeable Li-Po battery (11.1 V/2200 mAh) Battery charger included Arduino-based open-source software Dimensions (W x L x H): 23 x 8 x 13 cm Included 1x ESP32-S3 Mainboard + MPU6050 module 1x LCD board (2.9 inch) 1x Ultrasonic sensor 1x Battery pack (2200 mAh) 1x Battery charger 1x Motor tyre kit 1x Case board 1x Acrylic board 1x Screwdriver 1x Protective strip 1x Flex cable B (8 cm) 1x Flex cable A (12 cm) 1x Flex cable C 4x Copper column A (25 mm) 4x Copper column B (55 mm) 4x Copper column C (5 mm) 2x Plastic nylon column 8x Screws A (10 mm) 24x Screws B (M3x5) 8x Nuts 24x Metal washers 2x Zip tie 1x MicroSD card (32 GB) Downloads Documentation

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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 in MicroPython 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 MicroPython with the Raspberry Pi Pico using the Thonny 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 MicroPython 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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Learn how to use the ESP32 Microcontroller and MicroPython programming in your future projects! The project book, written by well-known Elektor author Dogan Ibrahim, holds many software- and hardware-based projects especially developed for the MakePython ESP32 Development Kit. The kit comes with several LEDs, sensors, and actuators. The kit will help you acquire the basic knowledge to create IoT projects. The book’s fully evaluated projects feature all the supplied components. Each project includes a block diagram, a circuit diagram, a full program listing, and a complete program description. Included in the kit 1x MakePython ESP32 development board with LCD 1x Ultrasonic ranging module 1x Temperature and humidity sensor 1x Buzzer module 1x DS18B20 module 1x Infrared module 1x Potentiometer 1x WS2812 module 1x Sound sensor 1x Vibration sensor 1x Photosensitive resistance module 1x Pulse sensor 1x Servo motor 1x USB cable 2x Button 2x Breadboard 45x Jumper wire 10x Resistor 330R 10x LED (Red) 10x LED (Green) 1x Project book (206 pages) 46 Projects in the Book LED Projects Blinking LED Flashing SOS Blinking LED – using a timer Alternately flashing LEDs Button control Changing the LED flashing rate using pushbutton interrupts Chasing-LEDs Binary-counting LEDs Christmas lights (random-flashing 8 LEDs) Electronic dice Lucky day of the week Pulsewidth Modulation (PWM) Projects Generate a 1000-Hz PWM waveform with 50% duty cycle LED brightness control Measuring the frequency and duty cycle of a PWM waveform Melody maker Simple electronic organ Servo motor control Servo motor DS18B20 thermometer Analog To Digital Converter (ADC) Projects Voltmeter Plotting the analog input voltage ESP32 internal temperature sensor Ohmmeter Photosensitive resistance module Digital To Analog Converter (DAC) Projects Generating fixed voltages Generating a sawtooth-wave signal Generating a triangular-wave signal Arbitrary periodic waveform Generating a sinewave signal Generating accurate sinewave signal using timer interrupts Using The OLED Display Seconds counter Event counter DS18B20 OLED based digital thermometer ON-OFF temperature controller Measuring the temperature and humidity Ultrasonic distance measurement Height of a person (stadiometer) Heart rate (pulse) measurement Other Sensors Supplied with the Kit Theft alarm Sound-activated light Infrared obstacle avoidance with buzzer WS2812 RGB LED ring Timestamping temperature and humidity readings Network Programming Wi-Fi scanner Remote control from the Internet browser (using a smartphone or PC) – Web Server Storing temperature and humidity data in the Cloud Low-Power Operation Using a timer to wake up the processor

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Multilingual DIY Kit (incl. 27 RGB LEDs + Raspberry Pi Pico) Bring some engineering magic to your festive season with the Wordy LED Christmas Tree, a unique DIY electronics kit designed by Elektor. This beautifully engineered 3D Christmas tree combines eleven PCBs, a Raspberry Pi Pico, and 27 addressable RGB LEDs to illuminate Christmas greetings in seven languages: Danish, Dutch, English, French, German, Italian, and Spanish. Unlike ordinary LED trees, each word inside the tree has its own light chamber, creating a refined, softly glowing display without sound or flicker. The LEDs are fully WS2812-compatible and driven via the popular Adafruit NeoPixel library, making custom animations and color effects easy to create. Perfect for makers, tinkerers, and festive electronics fans, this kit offers both an enjoyable build and a striking, conversation-worthy decoration. The Wordy Christmas Tree is your perfect holiday maker project! Features Multilingual greetings (7 languages) milled into the front panel 3D construction from 11 interlocking PCBs Powered by Raspberry Pi Pico 27 individually addressable RGB LEDs (pre-mounted) Smooth fade-in and fade-out animations Fully programmable using the Arduino IDE A 5-V power supply (with micro-USB connector) capable of ≥1 A is recommended for maximum brightness (not included) Dimensions (H x W x D): 130 x 115 x 75 mm Included All required PCBs with LEDs and other SMD parts mounted Raspberry Pi Pico (to be soldered & programmed by the user) 3-way pin header (to be soldered by the user) 3-way pin socket (to be soldered by the user) 4x Self-adhesive dome bumpers Project Page Elektor Labs

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Build Your Own Vintage Radio Broadcaster The Elektor AM Transmitter Kit allows streaming audio to vintage AM radio receivers. Based on a Raspberry Pi Pico microcontroller module, the AM Transmitter can transmit on 32 frequencies in the AM band, from 500 kHz up to 1.6 MHz in 32 steps of approx. 35 kHz. The frequency is selected with a potentiometer and shown on a 0.96" OLED display. A pushbutton allows toggles the transmitting mode between On and Off. The range of the transmitter depends on the antenna. The onboard antenna provides a range of a few centimeters, requiring the AM Transmitter to be placed close to or inside the radio. An external loop antenna (not included) can be connected to increase the range. The Elektor AM Transmitter Kit comes as a kit of parts that you must solder to the board yourself. Features The board is compatible with a Hammond 1593N enclosure (not included).A 5 VDC power supply with micro-USB connector (e.g., an old phone charger) is needed to power the kit (not included). Current consumption is 100 mA. The Arduino software (requiring Earle Philhower’s RP2040 Boards Package) for the Elektor AM Transmitter Kit plus more information is available at the Elektor Labs page of this project. Component List Resistors R1, R4 = 100 Ω R2, R3, R8 = 10 kΩ R5, R6, R9, R10, R11 = 1 kΩ R7 = optional (not included) P1 = potentiometer 100 kΩ, linear Capacitors C1 = 22 µF 16V C2, C4 = 10 nF C3 = 150 pF Miscellaneous K1 = 4×1 pin socket K2, K3 = 3.5 mm socket Raspberry Pi Pico pushbutton, angle mount 0.96" monochrome I²C OLED display PCB 150292-1

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