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Projects with Arduino Uno & Raspberry Pi with Examples for the MCP2515 CAN Bus Interface Module This book details the use of the Arduino Uno and the Raspberry Pi 4 in practical CAN bus based projects. Using either the Arduino Uno or the Raspberry Pi with off-the-shelf CAN bus interface modules considerably ease developing, debugging, and testing CAN bus based projects. This book is written for students, practicing engineers, enthusiasts, and for everyone else wanting to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C and Python programming languages and programming the Arduino Uno using its IDE and Raspberry Pi will be useful, especially if the reader intends to develop microcontroller-based projects using the CAN bus. The book should be a useful source of reference material for anyone interested in finding answers to questions such as: What bus systems are available for the automotive industry? What are the principles of the CAN bus? How can I create a physical CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how dependable is a CAN bus system? What types of CAN bus controllers exist? How do I use the MCP2515 CAN bus controller? How do I create 2-node Arduino Uno-based CAN bus projects? How do I create 3-node Arduino Uno-based CAN bus projects? How do I set the acceptance masks and acceptance filters? How do I analyze data on the CAN bus? How do I create 2-node Raspberry Pi-based CAN bus projects? How do I create 3-node Raspberry Pi-based CAN bus projects?

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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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Sensoren am Raspberry Pi (E-book)

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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. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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Met de Raspberry Pi heeft u voor slechts een paar tientjes een complete computer in handen, waar op eenvoudige wijze allerlei elektronica aangesloten kan worden. In deze 2e herziene en uitgebreide versie gaan we in op een van de sterke kanten van de Raspberry Pi: de combinatie van programmeren en elektronica. Na een korte introductie van de Raspberry Pi wordt de benodigde software geïnstalleerd. Op de SD-kaart die u bij dit boek kunt aanschaffen, is die allemaal al aanwezig voor de Raspberry Pi. Aan de (optionele) Windows PC kant gebeurt dit met gratis software die u kunt downloaden. Daarna volgt een beknopte inleiding in het besturingssysteem Linux en gaan we programmeren in Bash, Python en JavaScript. De nadruk ligt hierbij op Python, maar in alle gevallen houden we het kort. We bespreken net voldoende zodat u de projecten kunt begrijpen en aan uw wensen aanpassen, en gaan dan aan de slag met leuke projecten. Maar liefst 45 spannende en interessante projecten worden in detail besproken en uitgelegd. Van wisselknipperlicht, aansluiten van een elektromotor, het verwerken en maken van analoge signalen tot lichtmeter en temperatuurregeling. Maar ook gecompliceerdere projecten zoals een motorsnelheidsregeling, webserver met CGI, client-server applicaties en Xwindows programma‘s. U kunt dit boek gebruiken als projecten boek en de projecten nabouwen en in de praktijk inzetten. Door de duidelijke uitleg, schema‘s en foto‘s van de opstellingen op een steekbord wordt het nabouwen een erg leuke bezigheid. RPi Alle software voor de RPi is voorgeïnstalleerd op een SD-kaart die u bij dit boek kunt aanschaffen. Dat wil zeggen dat alle software en drivers voor SSH, SPI, I²C, GPIO, PWM, muziek, Python Ontwikkelversie, wxPython, IdleX en de seriële verbinding gegarandeerd werken. Tevens staan alle broncodes van de projecten uitdit boek op deze kaart. Windows-PC In het gratis download-pakket dat bij dit boek hoort, vindt u de software die in dit boek gebruikt wordt op de Windows-PC handig bij elkaar in een enkel ZIP-bestand. Alle software is gratis. Tevens bevat het pakket een filmpje van de Nutteloze Doos (Useless Machine) van project 13.4. Software download-pakket WinOscillo Putty Xming WinSCP DiskImager Notepad2 IdleX Useless Box film

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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. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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Maîtrise de la puce RP2040 avec plus de 60 projets à réaliser et à programmer Les cartes Raspberry Pi Pico et Pico W sont animées par un microcontrôleur ARM Cortex M0+ RP2040 à double coeur, rapide, efficace et peu coûteux, qui fonctionne jusqu'à 133 MHz et dispose de 264 Ko de SRAM et de 2 Mo de mémoire Flash. Outre une vaste mémoire, le Pico et le Pico W disposent de nombreuses broches GPIO et d'interfaces telles que CA/N, SPI, I²C, UART, MLI, de fonctions de temporisation, d'une interface de débogage matériel et d'un capteur de température interne. La carte Raspberry Pi Pico W comporte en plus une puce CYW43439 Bluetooth et Wi-Fi d'Infineon. Au moment de la rédaction de ce livre, le micrologiciel Bluetooth pour le Pico W n'était pas encore disponible. Le Wi-Fi à 2,4 GHz est toutefois entièrement pris en charge avec les protocoles 802.11b/g/n. Ce livre est une introduction à l'utilisation du Raspberry Pi Pico W avec le langage de programmation MicroPython. Les quelque soixante projets testés et opérationnels sont présentés à l'aide de l'environnement de développement intégré (EDI) Thonny. Les sujets abordés sont nombreux : Installation de MicroPython sur le Raspberry Pi Pico depuis un PC Interruptions de l'horloge et interruptions externes Convertisseur analogique-numérique (CA/N) Capteurs de température interne et externe Capteurs externes (pression, humidité, pouls, à ultrasons) Enregistrement de données MLI, UART, I²C et SPI Bluetooth, Wi-Fi et applis sur smarphone Convertisseur numérique-analogique (CN/A) Tous les projets ont été testés et éprouvés. Ils peuvent être mis en oeuvre sur le Raspberry Pi Pico ainsi que sur le Raspberry Pi Pico W. Toutefois les projets avec une liaison Wi-Fi ne fonctionnent que sur le Pico W. Une petite expérience en programmation et en électronique est nécessaire pour suivre les projets. De brèves descriptions, des schémas fonctionnels, des schémas détaillés du câblage des montages et des listings MicroPython complets sont fournis pour tous les projets.

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From basics to flows for sensors, automation, motors, MQTT, and cloud services This book is a learning guide and a reference. Use it to learn Node-RED, Raspberry Pi Pico W, and MicroPython, and add these state-of-the-art tools to your technology toolkit. It will introduce you to virtual machines, Docker, and MySQL in support of IoT projects based on Node-RED and the Raspberry Pi Pico W. This book combines several elements into a platform that powers the development of modern Internet of Things applications. These elements are a flow-based server, a WiFi-enabled microcontroller, a high-level programming language, and a deployment technology. Combining these elements gives you the tools you need to create automation systems at any scale. From home automation to industrial automation, this book will help you get started. Node-RED is an open-source flow-based development tool that makes it easy to wire together devices, APIs, and online services. Drag and drop nodes to create a flowchart that turns on your lights at sunset or sends you an email when a sensor detects movement. Raspberry Pi Pico W is a version of the Raspberry Pi Pico with added 802.11n Wi-Fi capability. It is an ideal device for physical computing tasks and an excellent match to the Node-RED. Quick book facts Project-based learning approach. Assumes no prior knowledge of flow-based programming tools. Learn to use essential infrastructure tools in your projects, such as virtual machines, Docker, MySQL and useful web APIs such as Google Sheets and OpenWeatherMap. Dozens of mini-projects supported by photographs, wiring schematics, and source code. Get these from the book GitHub repository. Step-by-step instructions on everything. All experiments are based on the Raspberry Pi Pico W. A Wi-Fi network is required for all projects. Hardware (including the Raspberry Pi Pico W) is available as a kit. Downloads GitHub

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Learn to program displays and GUIs with Python This book is about Raspberry Pi 4 display projects. The book starts by explaining how to install the latest Raspbian operating system on an SD card, and how to configure and use the GPIO ports. The core of the book explains the following topics in simple terms with fully tested and working example projects: Simple LED projects Bar graph LED projects Matrix LED projects Bitmap LED projects LED strips LCDs OLED displays E-paper displays TFT displays 7-inch touch screen GUI Programming with Tkinder One unique feature of this book is that it covers almost all types of display that readers will need to use in their Raspberry Pi based projects. The operation of each project is fully given, including block diagrams, circuit diagrams, and commented full program listings. It is therefore an easy task to convert the given projects to run on other popular platforms, such as Arduino or PIC microcontrollers. Python program listings of all Raspberry Pi projects developed in this book are available for download at Elektor.com. Readers can use these programs in their projects. Alternatively, they can modify the programs to suit their applications.

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The Arduino Uno is an open-source microcontroller development system encompassing hardware, an Integrated Development Environment (IDE), and a vast number of libraries. It is supported by an enormous community of programmers, electronic engineers, enthusiasts, and academics. The libraries in particular really smooth Arduino programming and reduce programming time. What’s more, the libraries greatly facilitate testing your programs since most come fully tested and working. The Raspberry Pi 4 can be used in many applications such as audio and video media devices. It also works in industrial controllers, robotics, games, and in many domestic and commercial applications. The Raspberry Pi 4 also offers Wi-Fi and Bluetooth capability which makes it great for remote and Internet-based control and monitoring applications. This book is about using both the Raspberry Pi 4 and the Arduino Uno in PID-based automatic control applications. The book starts with basic theory of the control systems and feedback control. Working and tested projects are given for controlling real-life systems using PID controllers. The open-loop step time response, tuning the PID parameters, and the closed-loop time response of the developed systems are discussed together with the block diagrams, circuit diagrams, PID controller algorithms, and the full program listings for both the Raspberry Pi and the Arduino Uno. The projects given in the book aim to teach the theory and applications of PID controllers and can be modified easily as desired for other applications. The projects given for the Raspberry Pi 4 should work with all other models of Raspberry Pi family. The book covers the following topics: Open-loop and closed-loop control systems Analog and digital sensors Transfer functions and continuous-time systems First-order and second-order system time responses Discrete-time digital systems Continuous-time PID controllers Discrete-time PID controllers ON-OFF temperature control with Raspberry Pi and Arduino Uno PID-based temperature control with Raspberry Pi and Arduino Uno PID-based DC motor control with Raspberry Pi and Arduino Uno PID-based water level control with Raspberry Pi and Arduino Uno PID-based LED-LDR brightness control with Raspberry Pi and Arduino Uno

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A comprehensive course that will teach you how to build a modern IoT application This book will take you on a whirlwind tour of full-stack web application development using Raspberry Pi. You will learn how to build an application from the ground up. You will gain experience and know-how of technologies including: The Linux operating system and command line. The Python programming language. The Raspberry Pi General Purpose Input Output pins (GPIOs). The Nginx web server. Flask Python web application microframework. JQuery and CSS for creating user interfaces. Dealing with time zones. Creating charts with Plotly and Google Charts. Data logging with Google Sheet. Developing applets with IFTTT. Securing your application with SSL. Receiving SMS notifications to your phone using Twilio. This book will also teach you how to set up a remote wireless Arduino sensor node and collect data from it. Your Raspberry Pi web application will be able to process Arduino node data in the same way it processes data from its onboard sensor. Raspberry Pi Full Stack will teach you many skills essential to building Web and Internet of Things applications. The application you will build in this project is a platform that you can extend upon. This is just the start of what you can do with a Raspberry Pi and the software and hardware components that you will learn about. This book is supported by the author via a dedicated discussion space.

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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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