Suchergebnisse für "raspberry OR pi OR 400 OR fr"

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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Der Raspberry Pi 5 verfügt über zwei vierspurige MIPI-Anschlüsse, von denen jeder entweder eine Kamera oder ein Display unterstützen kann. Diese Anschlüsse verwenden dasselbe 22-polige "Mini"-FPC-Format mit 0,5 mm Raster wie das Compute Module Development Kit und erfordern Adapterkabel für den Anschluss an die 15-poligen "Standard"-Anschlüsse mit 1 mm Raster an aktuellen Raspberry Pi Kamera- und Display-Produkten. Diese Mini-zu-Standard-Adapterkabel für Kameras und Displays (beachten Sie, dass ein Kamerakabel nicht mit einem Display verwendet werden sollte und umgekehrt) sind in den Längen 200 mm, 300 mm und 500 mm erhältlich.

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Develop innovative hardware-based projects in C The Raspberry Pi has traditionally been programmed using Python. Although this is a very powerful language, many programmers may not be familiar with it. C on the other hand is perhaps the most commonly used programming language and all embedded microcontrollers can be programmed using it. The C language is taught in most technical colleges and universities and almost all engineering students are familiar with using it with their projects. This book is about using the Raspberry Pi with C to develop a range of hardware-based projects. Two of the most popular C libraries, wiringPi and pigpio are used. The book starts with an introduction to C and most students and newcomers will find this chapter invaluable. Many projects are provided in the book, including using Wi-Fi and Bluetooth to establish communication with smartphones. Many sensor and hardware-based projects are included. Both wiringPi and pigpio libraries are used in all projects. Complete program listings are given with full explanations. All projects have been fully tested and work. The following hardware-based projects are provided in the book: Using sensors Using LCDs I²C and SPI buses Serial communication Multitasking External and timer interrupts Using Wi-Fi Webservers Communicating with smartphones Using Bluetooth Sending data to the cloud Program listings of all Raspberry Pi projects developed in this book are available on the Elektor website. Readers can download and use these programs in their projects. Alternatively, they can customize them to suit their applications.

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Projekte mit Arduino Uno und Raspberry Pi In diesem Buch werden Anwendungen von Arduino Uno und Raspberry Pi 4 in praxisnahen Projekten auf Basis von CAN-Bus detailliert beschrieben. Durch den Einsatz von entweder Arduino Uno oder Raspberry Pi in Verbindung mit handelsüblichen CAN-Bus-Schnittstellenmodulen werden die Entwicklung, Fehlersuche und Fehlerbeseitigung sowie die Überprüfung von Projekten auf CAN-Bus-Basis erheblich erleichtert. Dieses Buch richtet sich an jeden, der mehr über den CAN-Bus lernen möchte und mit den Grundlagen der Elektronik vertraut ist. Hilfreich ist auch, Erfahrungen mit den Programmiersprachen C und Python sowie mit der Programmierung von Arduino Uno unter Verwendung seiner IDE und von Raspberry Pi zu haben. Das Buch ist eine nützliche Informationsquelle und ein Nachschlagewerk für jeden, der Antworten auf eine oder mehrere der folgenden Fragen sucht: Welche Bussysteme stehen für die Automobilindustrie zur Verfügung? Was sind die Grundprinzipien des CAN-Bus? Welche Arten von Frames (oder Datenpaketen) stehen in einem CAN-Bussystem zur Verfügung? Wie können Fehler in einem CAN-Bussystem erkannt werden, und wie zuverlässig ist ein CAN-Bussystem? Welche Arten von CAN-Bus-Controllern gibt es? Was sind die Funktionsprinzipien des MCP2515 CAN-Bus-Controllers? Wie kann ich ein CAN-Bus-Projekt mit Arduino Uno realisieren? Wie kann ich Arduino- oder Raspberry Pi-CAN-Bus-Projekte mit 2 und 3 Knoten erstellen? Wie kann ich die Daten auf dem CAN-Bus analysieren? Wie kann ich ein CAN-Bus-Projekt mit Raspberry Pi ausführen?

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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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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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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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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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This book is about advanced programming of the Raspberry Pi computer using the Python programming language. The book explains in simple terms and with examples: How to configure the Raspberry Pi computer; How to install and use the Linux operating system and the desktop; How to write advanced programs using the Python programming language; How to use graphics in our programs; How to develop hardware based projects using the Raspberry Pi. The book starts with an introduction to the Raspberry Pi computer and covers the topics of purchasing all the necessary accessories and installing and operating the Linux operating system in command mode. The network interface of the RPi is explained in simple steps, demonstrating how the computer can be accessed remotely from a desktop or a laptop computer. The remaining parts of the book cover the Python programming language in detail, including advanced topics such as operating system calls, multitasking, interprocess synchronization and interprocess communication techniques. The important topic of network programming using UDP and TCP protocols is described with working examples. The Tkinter graphical user interface module (GUI) is described in detail with example widgets and programs. The last part of the book includes hardware projects based on using the advanced programming topics such as multitasking and interprocess communication techniques. All the projects given in the book have been fully tested and are working. Complete program listings of all projects are provided with detailed explanations.

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This book is about teaching the Python programming language using the Raspberry Pi 4 computer. The book makes an introduction to Raspberry Pi 4 and then teaches Python with the topics: variables, strings, arrays, matrices, tuples, lists, dictionaries, user functions, flow of control, printing, keyboard input, graphics, GUI, object oriented programming and many more topics. The book is aimed for beginners, students, practising engineers, hobbyists, and for anyone else who may want to learn to program in Python. The book includes many example programs and case studies. All the example programs and case studies have been tested fully by the author and are all working. The example programs aim to teach the various programming concepts of Python. The case studies cover the use of Python in the analysis and design of electronic circuits. Some of the case study topics are: Resistor colour code identification Resistive potential divider circuits Resistive attenuator design Zener diode voltage regulator design RC and RLC transient circuits Circuit frequency response Saving data on external memory stick Mesh and node circuit analysis using matrices Resonance in RLC circuits Transistor Biasing analysis Transistor amplifier design Design of active filters Interfacing hardware with GPIO, I²C and SPI Using Wi-Fi with Python and TCP/IP and UDP programs Using Bluetooth from Python Full program listings of all the programs used in the book are available at the Elektor website of the book. Readers should be able just to copy and use these programs in their Raspberry Pi projects without any modifications.

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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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