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The Raspberry Pi 5 case is a refinement of the Raspberry Pi 4 case with improved thermal features to support the higher peak power consumption of the Raspberry Pi 5. It integrates a variable speed fan that is powered and controlled via a dedicated connector on the Raspberry Pi 5.

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Program, build, and master 60+ projects with the Wireless RP2040 The Raspberry Pi Pico and Pico W are based on the fast, efficient, and low-cost dual-core ARM Cortex M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM and 2 MB of Flash memory. Besides spacious memory, the Pico and Pico W offer many GPIO pins, and popular peripheral interface modules like ADC, SPI, I²C, UART, PWM, timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico W additionally includes an on-board Infineon CYW43439 Bluetooth and Wi-Fi chipset. At the time of writing this book, the Bluetooth firmware was not yet available. Wi-Fi is however fully supported at 2.4 GHz using the 802.11b/g/n protocols. This book is an introduction to using the Raspberry Pi Pico W in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all of the 60+ working and tested projects covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external sensor chips Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Bluetooth, WiFi, and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects are tried & tested. They can be implemented on both the Raspberry Pi Pico and Raspberry Pi Pico W, although the Wi-Fi-based subjects will run on the Pico W only. Basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects.

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ModbusRTU and ModbusTCP examples with the Arduino Uno and ESP8266 Introduction to PLC programming with OpenPLC, the first fully open source Programmable Logic Controller on the Raspberry Pi, and Modbus examples with Arduino Uno and ESP8266 PLC programming is very common in industry and home automation. This book describes how the Raspberry Pi 4 can be used as a Programmable Logic Controller. Before taking you into the programming, the author starts with the software installation on the Raspberry Pi and the PLC editor on the PC, followed by a description of the hardware. You'll then find interesting examples in the different programming languages complying with the IEC 61131-3 standard. This manual also explains in detail how to use the PLC editor and how to load and execute the programs on the Raspberry Pi. All IEC languages are explained with examples, starting with LD (Ladder Diagram) over ST (Structured Control Language) to SFC (Special Function Chart). All examples can be downloaded from the author's website. Networking gets thorough attention too. The Arduino Uno and the ESP8266 are programmed as ModbusRTU or ModbusTCP modules to get access to external peripherals, reading sensors and switching electrical loads. I/O circuits complying with the 24 V industry standard may also be of interest for the reader. The book ends with an overview of commands for ST and LD. After reading the book, the reader will be able to create his own controllers with the Raspberry Pi.

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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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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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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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! PIO-Programmierung des Raspberry Pi PicoNeun Befehle, viele Möglichkeiten KI aus dem Browser befreienSo nutzen Sie KI-CLIs zum Programmieren, Kompilieren und Validieren von Embedded-Projekten Der Scrutiny DebuggerDebuggen, Visualisieren und Testen von Embedded-C/C++ Code Sigfox-Breakout-Board (Teil 1)Ein selbst gebautes Funk-BoB Rauscharmes Labor-Netzteil (Teil 2)Konstruktion, Montage und praktische Implementierung Einfacher Signalgenerator mit dem RP2040Analoge und digitale Signale für rund 10 Euro Matter und Edge-KI für die Smart Homes der ZukunftBieten die neuesten Updates von Matter und der Aufstieg der Edge-KI Entwicklern endlich die Werkzeuge, um das versprochene intelligente und vernetzte Smart Home zu schaffen? Die SMU für alleSiglent bringt die SMM3000X-Serie auf den Markt DifferenzdrucksensorenVorausschauende Wartung in HLK-Systemen Security by DesignSchadensbegrenzung durch Entwicklungsprinzipien Embedded Security ist nicht mehr optional CRA und PQC setzen neue Prioritäten für Embedded-SicherheitWarum auch kleine IoT- und Industrie-Unternehmen einen Upgrade-Plan benötigen embedded world 2026Interview mit Benedikt Weyerer, Executive Director der embedded world I3C in der PraxisMit Hardware von ST und Microchip Das BLEnky-ProjektSchnelles Prototyping für Bluetooth-Low-Energy-Anwendungen PulsbreitensteuerungVom einfachen Thermostat bis zum geglätteten Analogsignal AudiotronicsKlangvolle Elektronik zum Selberbauen ESP32-Audio-Transceiver-Board (Teil 4)Taktsynchronisation – und eine kabelgebundene Option 2026: Eine KI-OdysseeDer Vibe-Coding-Kater von 2025 Symmetrische DC-LastGleichstromlast, statisch oder dynamisch und symmetrisch Gesichter zählen mit MaixCAMEine einfache Methode zur Erfassung von Publikumsgrößen

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USB-Logikanalysatoren am PC mit Arduino, Raspberry Pi und Co Schritt-für-Schritt-Anleitungen führen Sie in die Analyse moderner Protokolle von I²C, SPI, UART, RS-232, NeoPixel, WS28xx, HD44780 und 1-Wire ein. Anhand von zahlreichen Experimentierschaltungen mit dem Raspberry Pi Pico, Arduino Uno und dem Bus Pirate üben Sie die praxisnahe Anwendung gängiger USB-Logikanalysatoren ein. Alle in diesem Buch vorgestellten Experimentierschaltungen wurden vollständig getestet und sind funktionsfähig. Die notwendigen Programmlistings sind enthalten, es sind keine besonderen Programmier- oder Elektronikkenntnisse für diese Schaltungen notwendig. Es werden die Programmiersprachen MicroPython und C mit den Entwicklungsumgebungen Thonny und Arduino IDE eingesetzt. Dieses Buch verwendet mehrere Modelle flexibler und weit verbreiteter USB-Logikanalysatoren und zeigt die Stärken und Schwächen jeder Preisklasse. Sie werden kennenlernen, welche Kriterien für Ihre Arbeit wichtig sind und in der Lage sein, das für Sie passende Gerät zu finden. Egal ob Arduino, Raspberry Pi oder Raspberry Pi Pico: Die abgebildeten Beispielschaltungen ermöglichen einen schnellen Start in die Protokollanalyse und können auch als Grundlage für eigene weitere Experimente dienen. Sie werden alle wichtigen Begriffe und Zusammenhänge kennenlernen, eigene Experimente durchführen, selbstständig Protokolle analysieren und nach der Lektüre dieses Buches – im Bereich der digitalen Signale und Protokolle – ein umfassendes Wissen aufgebaut haben.

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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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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Die Open-Source-Prozessorarchitektur RISC-V16 Boards und MCUs, die Sie kennen sollten Audio-Player mit FPGA und EqualizerTeil 1. Digitale Audiosignale mischen mit einem MKR Vidor 4000 von Arduino Laserkopf für Pico-basierte SanduhrZeichnen mit Licht Nehmen Sie teil am STM32 Edge AI Contest! Umweltüberwachung von Pflanzen mit mehreren SensorenDrahtlose Messung der Wasserversorgung und Lichtverhältnisse Maixduino: Automatischer KI-TüröffnerGesichtserkennung mit einer Kamera Embedded-Elektronik 2024KI wird die Branche neu definieren Ladungsbasiertes In-Memory Compute bei EnCharge AI KI-Inferencing bei 10-fach geringerer Leistungsaufnahme zu 20-fach geringeren Kosten Click-Board hilft bei der Entwicklung und dem Training von ML-Modellen für die Schwingungsanalyse Der Elektor Mini-WheelieEin Bausatz für einen selbstbalancierenden Roboter MCU, ich sehe dich!MCUViewer, ein Open-Source-Multiplattform-Debugging-Werkzeug USB-2.0-IsolatorGeräte galvanisch isoliert per USB verbinden Eingriff vor dem SchadenPredictive Maintenance in der Praxis SPoE - Elektromagnetische VerträglichkeitSingle-Pair mit Power-over-Ethernet im EMV-Fokus Retro-TechnikWie das Farbfernsehen eine neue Welt schuf EKG-MonitorMit Hexabitz-Modulen und einem STM32CubeMonitor Der Kampf um KI at the Edge HaLow erreicht Rekorddistanz von 16 km für WLAN bei 900 MHz Erster CHERI RISC-V-Embedded Chip und Early Access Programm Die dritte Generation der Waldbrandfrüherkennung nutzt Satellitenverbindungen Aus dem Leben gegriffenDie Qual der Wahl Aller Anfang......ist nicht schwer: Wir setzen die Filterung und Klangregelung fort. Riesen-LED-UhrNeuauflage eines Elektor-Klassikers Ein modularer Ansatz für die SensorprüfungDas Sensor Evaluation Board mit ESP32-S3 2025: Eine Odyssee in die KIDer Aufstieg der Basismodelle und ihre Rolle bei der Demokratisierung der KImocratizing AI Standalone MIDI-Synthesizer mit Raspberry PTeil 1: Eine Plattform für Edge-KI-Experimente vorbereiten Projekt 2.0Korrekturen, Updates und Leserbriefe CPU, GPU, DSP, FPGA; ein universeller KI-RISC-V-Prozessor kann alles! CEO-Interview: Ventivas dünne und kühle Technologie Dual-Core-Programmierung beim Raspberry Pi PicoEinstieg in die Welt der parallelen Programmierung

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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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Complete ESP32 microcontroller learning course featuring a custom-designed MCU expansion board, hands-on projects, and a comprehensive online guide – perfect for learning hardware, programming, and connectivity step by step. A Practical Introduction to Embedded Systems with the ESP32 This course is designed for readers who are new to embedded systems and looking for a structured, example-driven way to get started. If you’ve explored general-purpose electronics or Arduino-based materials but found them too broad or lacking in practical guidance, this course offers a more focused alternative. Using the "ESP32 by Example Kit" (EEK) – a compact and affordable set of components featuring LEDs, sensors, an OLED display, and a motion processor – you’ll work with a consistent hardware setup throughout the course. Once assembled, the EEK stays mostly unchanged, allowing you to concentrate on learning and experimentation without constant reconfiguration. Topics include: Understanding and programming the ESP32 microcontroller Writing and deploying code with the Arduino IDE Exploring cyber-physical systems, culminating in basic drone control 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 book’s examples but also to build on them with your own ideas and applications. Whether you're interested in embedded programming, interactive systems, or introductory drone control, this course provides a clear and practical path to getting started. What you'll learn? Embedded programming with the ESP32 using the Arduino IDE Real-time sensor input and control via buttons, LEDs, and displays Gesture-based interaction using the MPU6050 motion sensor Bluetooth gamepad integration and drone control simulation Wi-Fi and UDP networking, local web servers, and NTP MQTT communication with cloud platforms like AWS and Arduino IoT How to build and deploy full-featured IoT systems Perfect 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 Developers moving beyond Raspberry Pi or Arduino basics Support when you need it Access to instructors via Elektor Academy Helpful community forums and essential documentation What's inside the Box (Course)? New 384-page book: "ESP32 by Example" (valued at €45) Elektor ESP32 by Example Kit (EEK): Microcontroller Extension Board with 6 LEDs and 6 Buttons installed + OLED Display, MPU6050 3-axis Accelerometer and Gyroscope Module (valued at €40) Adafruit HUZZAH32 – ESP32 Feather MCU Board (valued at €30) ESP32 Cheap Yellow Display Board (valued at €25) DHT11 Humidity & Temperature Sensor Breadboard Jumper wires USB-C cable Access to the full course on the Elektor Academy Pro Learning Platform Instructional videos Downloadable Arduino project files for every module Learning Material (of this Box/Course) ▶  Click here to open Module 1 – Getting Started with the ESP32 & EEK Module 2 – Digital Output – LEDs and GPIO Module 3 – Switches and Input Handling Module 4 – EEK and PWM Module 5 – OLED and Display Output Module 6 – Motion Sensing with the MPU6050 Module 7 – Capstone Project (EEK in Action) Module 8 – WiFi and Web Control with ESP32 Module 9 – Cloud Concepts using EEK Module 10 – Hands-on: Arduino IoT Cloud and EEK Module 11 – BlueTooth and EEK GamePad Integration Module 12 – Why Drones? Module 13 – Drone Simulator Concepts Module 14 – Simple Drone Flight Control Module 15 – Real-Time Drone Flight Control Module 16 – Drone Control Mini-Projects Module 17 – Middleware and Python Scripting Module 18 – Python Applications for Drone Control Module 19 – Capstone EEK Control Project and Presentation About the Author Dr. Jim Solderitsch is an educator, software architect, systems developer, and cybersecurity researcher with a focus on cyber-physical systems. He currently serves as an Adjunct Professor in Computing Sciences at Villanova University in Pennsylvania. What is Elektor Academy Pro? Elektor Academy Pro delivers specialized learning solutions designed for professionals, engineering teams, and technical experts in the electronics and embedded systems industry. It enables individuals and organizations to expand their practical knowledge, enhance their skills, and stay ahead of the curve through high-quality resources and hands-on training tools. From real-world projects and expert-led courses to in-depth technical insights, Elektor empowers engineers to tackle today’s electronics and embedded systems challenges. Our educational offerings include Academy Books, Pro Boxes, Webinars, Conferences, and industry-focused B2B magazines – all created with professional development in mind. Whether you're an engineer, R&D specialist, or technical decision-maker, Elektor Academy Pro bridges the gap between theory and practice, helping you master emerging technologies and drive innovation within your organization.

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