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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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This bundle includes the Arduino UNO Q (2 GB) and the book "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Specifications Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68.85 × 53.34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. This bundle contains: Arduino UNO Q (2 GB) (normal price: €50) Book: Arduino UNO Q and AI (normal price: €35)

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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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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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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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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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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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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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AI in Practice Dive into the fascinating world of robotics and automation! This Elektor Special shows you how to build your own robots with creativity, a little know-how, and affordable technology. From your first DIY project with Arduino or Raspberry Pi to intelligent systems with AI – this issue makes modern robotics understandable and accessible. Discover practical instructions, inspiring projects, and exciting insights into the maker scene. Learn how experimentation, community, and openness give rise to true innovation – and why robotics is so much more than just a technical hobby. Contents Imagination turns into reality Arduino-controlled Drawing Robot GalaxyRVR Mars Rover Kit for Arduino YDLIDAR X4Pro Lidar xHuskyLens AI Camera DOF Robot Arm with Raspberry Pi Pico Manufacturing Robots with Fischertechnik Pneumatic Industrial Robot Why Do We Keep Building Robot Dogs? Elektor Mini-Wheelie Robot Vehicles and Autonomous Driving

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Vom Messwert zur stabilen Entscheidung Wie wird aus einem einfachen Mikrocontroller ein intelligentes System, das Sensorwerte erfasst, verarbeitet und sinnvoll darauf reagiert? Dieses Buch zeigt es Ihnen Schritt für Schritt – verständlich, praxisnah und ohne unnötige Vorkenntnisse. Sie beginnen mit den Grundlagen der digitalen und analogen Ein- und Ausgänge. Anschließend lernen Sie, wie Sensorwerte gelesen, geglättet und zuverlässig bewertet werden. Anschauliche Beispiele erklären, warum einzelne Messwerte oft täuschen können und wie Mittelwertbildung, Hysterese und einfache Entscheidungsregeln für stabile Ergebnisse sorgen. Nach und nach erweitern Sie Ihre Projekte um Displays, I²C-Kommunikation und mehrere vernetzte Mikrocontroller. So entstehen verteilte Systeme, in denen Raspberry Pi Pico und ATtiny-Controller Daten austauschen und gemeinsam Aufgaben übernehmen. Im fortgeschrittenen Teil erhalten Sie einen leicht verständlichen Einstieg in Merkmalsbildung, Datenvorverarbeitung, hybride Entscheidungsmodelle und TinyML-nahe Anwendungen. Dabei verbinden Sie klassische Regelungstechnik mit modernen datenbasierten Methoden. Alle Projekte werden von ausführlich kommentierten Programmen in C und MicroPython begleitet. Das Buch richtet sich an Einsteiger, Maker, Studierende und alle, die Embedded-Systeme von Grund auf verstehen möchten. Am Ende können Sie eigene Systeme entwickeln, die nicht nur messen, sondern Informationen auswerten, zuverlässige Entscheidungen treffen und gezielt reagieren.

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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. Included 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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DRIVING MOTORS WITH H-BRIDGESAn Introduction to DC, Stepper, and Brushless Motors THE ELEKTOR LAB TEAMOur Approach, Preferred Tools, and More RASPBERRY PI AS A KVM REMOTE CONTROLPi-KVM Software Test IQAUDIO CODEC ZEROA Sound Card for the Raspberry Pi Family THE PIKVM PROJECT AND LESSONS LEARNEDInterview with Maxim Devaev (Developer, PiKVM) AUTONOMOUS VEHICLE WITH 2D LIDARESP32 Pico Interprets Data from the Lidar Module THE RASPBERRY PI ZERO 2 W GOES QUAD-CORE NOTES FROM THE 2021 WORLD ETHICAL ELECTRONICS FORUM MOTOR CONTROLHow the Complexity of Motor Control Is Simplified LARGE ELECTRIC MOTORSBasic Principles and Useful Information GETTING STARTED WITH THE ESP32-C3 RISC-V MCU PROTECT YOURSELF AND OTHERS!DIY Master Power Switch for the Lab Bench CREATE GUIS WITH PYTHON (PART 2)Spy name chooser PRODUCTRONICA FAST FORWARD 2021 WINNERSExciting Technologies and Creative Engineering Solutions VERSATILE SERVO TESTERCheck Behavior When There’s No Datasheet MODBUS OVER WLAN (PART 2)Software for the Modbus TCP WLAN Module UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 3)Practical Neurons INSIDE AN OPEN-SOURCE PROCESSORSample Chapter: Lattice and Xilinx FPGA Results STARTING OUT IN ELECTRONICSWe Are Not Yet Done with the Coil ERR-LECTRONICSCorrections, Updates and Readers’ Letters COLOR TO SOUNDHow to Read Out a Color Sensor via I2C BATTLAB-ONEMeasure and Optimize the Battery Life of IoT Devices SIMPLE EARTH-LEAKAGE TRACERTesting Isolation of Mains Supply POVERTY AND ELECTRONICSSustainable Development Goal 1 HEXADOKUThe Original Elektorized Sudoku

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