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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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Zeitsteuerung, Scheduler, PIO und Zustandsmaschinen Multitasking ist der Schlüssel zu leistungsfähigen Embedded-Systemen, und zugleich eine der größten Herausforderungen in der Mikrocontroller-Programmierung. Dieses Buch zeigt Ihnen Schritt für Schritt, wie Sie von einem einfachen Ein-Task-Programm zu einem strukturierten, reaktionsfähigen und skalierbaren System gelangen. Dabei steht nicht nur das Wie, sondern vor allem das Warum im Mittelpunkt. Sie lernen: warum scheinbare Parallelität entsteht weshalb blockierende Programme instabil werden wie Aufgaben effizient und kontrolliert parallel ablaufen Ausgehend vom klassischen Superloop vermittelt das Buch moderne Multitasking-Strategien – von nicht-blockierender Programmierung und Tick-Systemen bis zu Task-Schedulern, Zustandsmaschinen und ereignisgesteuerten Konzepten. Der Fokus liegt auf der Praxis: Sensoren, Displays, Kommunikation und reale Anwendungen werden Schritt für Schritt integriert und mit verständlich kommentierten Beispielprogrammen erklärt. Fortgeschrittene Themen umfassen: Multicore-Programmierung mit dem Raspberry Pi Pico asynchrones Programmieren mit uasyncio RTOS-Grundlagen mit FreeRTOS die Kombination aus Multicore und RTOS Dabei werden auch die Grenzen dieser Techniken, insbesondere unter MicroPython, klar aufgezeigt. Das Buch richtet sich an ambitionierte Einsteiger und fortgeschrittene Entwickler, die Embedded-Systeme fundiert verstehen und robuste, wartbare Multitasking-Anwendungen entwickeln möchten.

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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 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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Specifications Dual ARM Cortex-M0+ @ 133 MHz 264 kB on-chip SRAM in six independent banks Support for up to 16 MB of off-chip Flash memory via dedicated QSPI bus DMA controller Fully-connected AHB crossbar Interpolator and integer divider peripherals On-chip programmable LDO to generate core voltage 2x on-chip PLLs to generate USB and core clocks 30x GPIO pins, 4 of which can be used as analogue inputs Peripherals 2x UARTs 2x SPI controllers 2x I²C controllers 16x PWM channels USB 1.1 controller and PHY, with host and device support 8x PIO state machines What you'll get 10x bare RP2040 chips

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Contents Projects PicoVoiceVoice alienation and sound effects with the Raspberry Pi Pico Navigation with Vibration Feedback POV Display Pulse Width Modulation (PWM) with the Raspberry Pi Pico Wi-Fi with the Raspberry Pi Pico 'Hello World' from the Raspberry Pi Pico and RP2040A look at the Raspberry Pi Foundation’s first microcontroller Simple On-Off Temperature Controller with Raspberry Pi HAT Multitasking with the Raspberry PiShowcase: a traffic lights controller The Raspberry Pi Ruler GadgetFun with a time-of-flight sensor Raspberry Pi Buffer Board (Mk. 1)Never blow up the I/O again FM radio with RDSA top HAT project for the Raspberry Pi LoRa with the Raspberry Pi PicoFun with MicroPython! Tutorials Qt for the Raspberry Pi Raspberry Pi Pico Programmingwith MicroPython and Thonny Raspberry Pi Full StackRPi and RF24 at the heart of a sensor network Raspberry Pi Bash Command Cheat Sheet Community Java on the Raspberry PiAn interview with Frank Delporte Reviews Introducing the New Raspberry Pi Pico W, H, and WH Secure Boot Solution for Raspberry PiRetrofit security at a reasonable price Review: SmartPi – Smart Meter Extension for Raspberry Pi Review: The Enviro+ Raspberry Pi HATMeasuring environmental data with Raspberry Pi and the HAT Enviro+ Review: Meet the Raspberry Pi 4All new but still good? Raspberry Pi Gets a Fast 3.5' Touch DisplayMore power at no extra charge Book Launch: Raspberry Pi for Radio Amateurs

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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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Enhance your Raspberry Pi 5 with the Pironman 5, built with sturdy aluminum, superior cooling, NVMe M.2 SSD support, OLED display, RGB lighting, standard HDMI ports x2, and a secure power switch. It is perfect for NAS, Home Assistant, Media and Game Centers. The Pironman 5 is not just a case; it’s an upgrade that transforms your Raspberry Pi 5 into a powerful, efficient, and stylish device. The Pironman 5 includes the Pi 5 NVMe PIP (PCIe Peripheral Board), a PCIe adapter board specifically designed for NVMe solid-state drives. This board supports four sizes of NVMe SSDs: 2230, 2242, 2260, and 2280, all of which can be installed in an M.2 M key slot. The connection is certified for Gen 2.0 speeds (5 GT/sec), but can be forced to Gen 3.0 (10 GT/sec) for faster performance. Expandable NVMe M.2 SSD Slot Boost your Raspberry Pi 5's performance with the Pironman 5's NVMe M.2 SSD slot, supporting multiple sizes (2230, 2242, 2260, 2280) for increased storage and faster system response. Advanced Cooling System Keep your Raspberry Pi 5 cool and stylish with the Pironman 5's tower cooler and dual RGB fans, featuring dust filters for durable, low-maintenance operation. OLED Display for Instant Insights The Pironman 5 includes a 0.96" OLED display, providing immediate updates on CPU and RAM usage, temperature, IP address, and more. Enhanced Functionality and Safety The Pironman 5 secures your Raspberry Pi 5 with features like safe shutdown, customizable RGB LEDs, HDMI ports, an IR receiver, and an external GPIO extender, enhancing functionality and connectivity. Features Raspberry Pi 5 mini PC 0.96" OLED Display showing Raspberry Pi’s CPU usage, temperature, disk usage, IP address, RAM usage etc. Tower cooler can cool a 100% CPU load Pi to 39°C at 25°C room temperature 2 RGB Fans, with GPIO control 1 PWM Fan on the Tower Cooler is controlled by the Raspberry Pi system. Supports four (PCIe Gen 2.0 / PCIe Gen 3.0) NVMe M.2 SSD sizes: 2230, 2242, 2260, and 2280. 4 WS2812 Addressable RGB LED light up the whole case with cool light effect IR Receiver for multi-media center like Kodi or Volumio Retro metal power button for safe shut down External GPIO extender with pin name label, for easy access Equipped with a spring-loaded socket for easy card removal Aluminum main body with clear Acrylic side panel Features two standard HDMI ports Downloads Documentation

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Raspberry Pi-based Eye Catcher A standard sand clock just shows how time passes. In contrast, this Raspberry Pi Pico-controlled sand clock shows the exact time by “engraving” the four digits for hour and minute into the layer of sand. After an adjustable time the sand is flattened out by two vibration motors and everything begins all over again. At the heart of the sand clock are two servo motors driving a writing pen through a pantograph mechanism. A third servo motor lifts the pen up and down. The sand container is equipped with two vibration motors to flatten the sand. The electronic part of the sand clock consists of a Raspberry Pi Pico and an RTC/driver board with a real-time clock, plus driver circuits for the servo motors. A detailed construction manual is available for downloading. Features Dimensions: 135 x 110 x 80 mm Build time: approx. 1.5 to 2 hours Included 3x Precut acrylic sheets with all mechanical parts 3x Mini servo motors 2x Vibration motors 1x Raspberry Pi Pico 1x RTC/driver board with assembled parts Nuts, bolts, spacers, and wires for the assembly Fine-grained white sand

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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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