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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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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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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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When you experiment with the Raspberry Pi on a regular basis and you connect a variety of external hardware to the GPIO port via the header you may well have caused some damage in the past. The Elektor Raspberry Pi Buffer Board is there to prevent this! The board is compatible with Raspberry Pi Zero, Zero 2 (W), 3, 4, 5, 400 and 500. All 26 GPIOs are buffered with bi-directional voltage translators to protect the Raspberry Pi when experimenting with new circuits. The PCB is intended to be inserted in the back of Raspberry Pi 400/500. The connector to connect to the Raspberry Pi is a right angled 40-way receptacle (2x20). The PCB is only a fraction wider. A 40-way flat cable with appropriate 2x20 headers can be connected to the buffer output header to experiment for instance with a circuit on a breadboard or PCB. The circuit uses 4x TXS0108E ICs by Texas Instruments. The PCB can also be put upright on a Raspberry Pi. Downloads Schematics Layout

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Program, build, and master over 50 projects with MicroPython and the RP2040 microprocessor The Raspberry Pi Pico is a high-performance microcontroller module designed especially for physical computing. Microcontrollers differ from single-board computers, like the Raspberry Pi 4, in not having an operating system. The Raspberry Pi Pico can be programmed to run a single task very efficiently within real-time control and monitoring applications requiring speed. The ‘Pico’ as we call it, is 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 its large memory, the Pico has even more attractive features including a vast number of GPIO pins, and popular interface modules like ADC, SPI, I²C, UART, and PWM. To cap it all, the chip offers fast and accurate timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico is easily programmed using popular high-level languages such as MicroPython and or C/C++. This book is an introduction to using the Raspberry Pi Pico microcontroller in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all the projects described. There are over 50 working and tested projects in the book, 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 temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Wi-Fi and apps to communicate with smartphones Using Bluetooth and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects given in the book have been fully tested and are working. Only basic programming and electronics experience is required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects described. Readers can find the program listings on the Elektor web page created to support the book.

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Mehr als 50 Grundlagenprojekte mit MicroPython und dem RP2040-Mikrocontroller Der Raspberry Pi Pico ist eine leistungsstarke Mikrocontroller-Platine, die speziell für das Physical Computing – also hardwarenahe Anwendungen – entwickelt wurde. Der Raspberry Pi Pico kann so programmiert werden, dass er eine einzelne Aufgabe sehr effizient ausführt und ermöglicht so schnelle Steuerungs- und Überwachungsanwendungen in Echtzeit. Der 'Pico', wie wir ihn nennen, basiert auf dem schnellen, effizienten und kostengünstigen Dual-Core ARM Cortex-M0+ RP2040 Mikrocontroller-Chip, der mit bis zu 133 MHz läuft und über 264 KB SRAM und 2 MB Flash-Speicher verfügt. Neben dem großen Speicher hat der Pico noch weitere attraktive Eigenschaften, darunter eine große Anzahl von GPIO-Pins sowie gängige Schnittstellen wie ADC, SPI, I²C, UART und PWM. Als Krönung bietet der Chip schnelle und genaue Timer, eine Hardware-Debug-Schnittstelle und einen internen Temperatursensor. Zur Programmierung lassen sich leicht die gängigen Hochsprachen wie MicroPython oder C/C++ verwenden. Dieses Buch ist eine Einführung in die Verwendung des Pico mit der Programmiersprache MicroPython. In allen Projekten wird die Thonny-Entwicklungsumgebung (IDE) eingesetzt. Über 50 Projekte decken folgende Themen ab: Installation von MicroPython auf dem Raspberry Pi Pico Timer-Interrupts und externe Interrupts Projekte mit Analog-Digital-Wandler (ADC) Verwendung des internen sowie externer Temperatursensoren Datenlogger Projekte zur PWM, UART, I²C-Bus und SPI-Bus Wi-Fi und Bluetooth für die Kommunikation mit Smartphones Projekte mit dem Digital-Analog-Wandler (DAC) Alle in diesem Buch vorgestellten Projekte wurden vollständig getestet und sind funktionsfähig. Es werden keine Programmier- oder Elektronikkenntnisse vorausgesetzt, um sie nachzuvollziehen. Für alle beschriebenen Projekte gibt es kurze Beschreibungen, Blockdiagramme, detaillierte Schaltpläne und vollständige MicroPython-Programmlistings. Die Listings sind auch auf der zum Buch gehörenden Elektor-Webseite zu finden.

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Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards. Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components. With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system. In this Edition Which Microcontroller Fits My Project? The Right Development Environment Tracking Wind and Weather Weather Display with OpenWeatherMap and Vacuum Fluorescent Display Volatile Organic Compounds in the Air We Breathe Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic CO2 Traffic Light with ThingSpeak IoT Connection An Automatic Plant Watering System Good Indoor Climate: Temperature and Humidity are Important criteria Classy Thermometer with Vintage Tube Technology Nostalgic Weather House for the Whole Family Measuring Air Pressure and Temperature Accurately Sunburn Warning Device DIY Sensor for Sunshine Duration Simple Smartphone Says: Fog or Clear View? Identifying Earthquakes Liquid Level Measurement for Vessels and Reservoirs Water pH Value Measurement Detecting Radioactive Radiation GPS: Sensor Location Service Across the Globe Saving and Timestamping Log Files on SD Cards LoRaWAN, The Things Network, and ThingSpeak Operating a LoRaWAN Gateway for TTN Defying "Wind and Weather" Mega Display with Weather Forecasz

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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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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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PC USB Logic Analyzers with Arduino, Raspberry Pi, and Co. Step-by-step instructions guide you through the analysis of modern protocols such as I²C, SPI, UART, RS-232, NeoPixel, WS28xx, HD44780 and 1-Wire. With the help of numerous experimental circuits based on the Raspberry Pi Pico, Arduino Uno and the Bus Pirate, you will learn the practical application of popular USB logic analyzers. All the experimental circuits presented in this book have been fully tested and are fully functional. The necessary program listings are included – no special programming or electronics knowledge is required for these circuits. The programming languages used are MicroPython and C along with the development environments Thonny and Arduino IDE. This book uses several models of flexible and widely available USB logic analyzers and shows the strengths and weaknesses of each price range. You will learn about the criteria that matter for your work and be able to find the right device for you. Whether Arduino, Raspberry Pi or Raspberry Pi Pico, the example circuits shown allow you to get started quickly with protocol analysis and can also serve as a basis for your own experiments. After reading this book, you will be familiar with all the important terms and contexts, conduct your own experiments, analyze protocols independently, culminating in a comprehensive knowledge set of digital signals and protocols.

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VOYAGE DANS LES RÉSEAUX NEURONAUX (1ÈRE PARTIE)Les neurones artificiels TEST DE PRÉCONFORMITÉ CEM POUR UN PROJET ALIMENTÉ EN COURANT CONTINUPartie 1 : RSIL double continu CHARGE ÉLECTRONIQUE EN CC ET CAJusqu?à 400 V et 10 A (crête) DÉMARRER EN ÉLECTRONIQUE (9)N'ayez pas peur du choc... un peu de « self control » suffit ! TRAITEMENT D'IMAGES AVEC LE MODULE JETSON NANO DE NVIDIA (1ÈRE PARTIE)Matériel et logiciel ZOOM SUR LES TRANSFORMATEURS SECTEURComportement transitoire à l?allumage et l?extinction « YES WE CAN » AVEC PICAN 3Module de bus CAN pour le Raspberry Pi 4 CENTRALE SOLAIRE SUR BALCONUn investissement vite amorti PRISE DE VUE ET DIFFUSION VIDÉO EN CONTINU AVEC UN RASPBERRY PI 4La caméra Raspberry Pi HQ en action UTILISATION D?ÉCRANS DANS LES PROJETS RASPBERRY PIExtrait : écrans à diodes électroluminescentes organiques (OLED) PROPELLER 2 DE PARALLAX (4)Envoi de chaînes de caractères 60 ANS D?ELEKTORRegard sur septembre DANS L?ANTRE DE?Menno van der Veen et de ses tubes amplificateurs CIRCUITS HYBRIDES ROSE DES VENTS AVEC LE CAPTEUR GY-271Ou pourquoi il faut faire des huit pour calibrer un capteur MESUREZ VOTRE EMPREINTEÉlectronique et émissions de gaz à effet de serre THERMOSTAT CONNECTÉ À ESP32Conservez votre vin à la bonne température ! LÉVITATION MAGNÉTIQUE, VERSION NUMÉRIQUEComparateur analogique remplacé par un ESP32 Pico ULTIMATE ARDUINO UNO HARDWARE MANUAL - FR TRANSLATIONExtrait : chargeur d?amorçage du microcontrôleur principal MICROPYTHON POUR L'ESP32 ET SES COPAINSPartie 2 : piloter facilement les écrans matriciels CARTE MADMACHINE SWIFTIOUn langage récent pour du matériel tout nouveau SUR LE VIFPassions incertaines HEXADOKUCasse-tête pour elektorniciens

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Inhalt Projekte Pico-VoiceSprachverfremdung und Soundeffekte mit dem Raspberry Pi Pico Navi mit Vibrations-Feedback POV-Anzeige Impulsbreitenmodulation (PWM) mit dem Raspberry Pi Pico Verwendung von Wi-Fi mit dem Raspberry Pi Pico „Hello World“ vom Raspberry Pi Pico und RP2040Ein Blick auf den ersten Mikrocontroller der Raspberry Pi Foundation Einfacher Ein-Aus-Temperaturregler mit Raspberry-Pi-HAT Multitasking mit dem Raspberry PiBeispiel: Ampelsteuerung Das Raspberry-Pi-LinealSpaß mit einem Laufzeitsensor Puffer-Board für Raspberry Pi (Mk. 1)Nie wieder defekte I/O-Ports FM-Radio mit RDSEin HAT für den Raspberry Pi LoRa mit dem Raspberry Pi PicoViel Spaß mit MicroPython! Tutorials Qt für Raspberry Pi Raspberry Pi Pico Programmierungmit MicroPython und Thonny Raspberry Pi Full StackRPi und RF24 als Herzstück eines Sensornetzwerks Raspberry Pi – Bash-Befehle in der Übersicht Community Java auf dem Raspberry PiEin Interview mit Buch-Autor Frank Delporte Reviews Buchvorstellung: Raspberry Pi for Radio Amateurs Secure-Boot-Lösung für Raspberry PiViel Sicherheit zum vernünftigen Preis Review: SmartPi – Smartmeter-Erweiterung für Raspberry Pi Review: RPi-HAT Enviro+Umweltdaten messen mit Raspberry Pi und der HAT Enviro+ Review: Raspberry Pi 4Alles neu und doch gut? Schnelles 3,5“-Touch-Display für RPiMehr Leistung ohne Aufpreis

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