Zoekresultaten voor "raspberry or pi or camera or module or 3"

Program, build, and master over 60 projects with Python The Raspberry Pi 5 is the latest single-board computer from the Raspberry Pi Foundation. It can be used in many applications, such as in audio and video media centers, as a desktop computer, in industrial controllers, robotics, and in many domestic and commercial applications. In addition to the well-established features found in other Raspberry Pi computers, the Raspberry Pi 5 offers Wi-Fi and Bluetooth (classic and BLE), which makes it a perfect match for IoT as well as in remote and Internet-based control and monitoring applications. It is now possible to develop many real-time projects such as audio digital signal processing, real-time digital filtering, real-time digital control and monitoring, and many other real-time operations using this tiny powerhouse. The book starts with an introduction to the Raspberry Pi 5 computer and covers the important topics of accessing the computer locally and remotely. Use of the console language commands as well as accessing and using the desktop GUI are described with working examples. The remaining parts of the book cover many Raspberry Pi 5-based hardware projects using components and devices such as LEDs and buzzers LCDs Ultrasonic sensors Temperature and atmospheric pressure sensors The Sense HAT Camera modules Example projects are given using Wi-Fi and Bluetooth modules to send and receive data from smartphones and PCs, and sending real-time temperature and atmospheric pressure data to the cloud. All projects given in the book have been fully tested for correct operation. Only basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full Python program listings are given for all projects described.

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Von den Machern von MagPi, dem offiziellen Raspberry Pi Magazin Starten Sie jetzt mit dem Raspberry Pi 5, dem neuesten und besten Minicomputer von Raspberry Pi – und lernen Sie, mit diesem unglaublichen Computer zu programmieren und Projekte zu erstellen. In diesem Buch finden Sie außerdem jede Menge kreative Ideen und Tipps, die Sie mit dem Raspberry Pi 4, dem Raspberry Pi Zero 2 W und dem Raspberry Pi Pico W umsetzen können. Mit den neuesten Reviews, Tutorials, Projekten, Anleitungen und mehr ist dies Ihre ultimative Ressource für den Raspberry Pi! 228 Seiten über Raspberry Pi Alles, was Sie über den Raspberry Pi 5 wissen müssen Erste Schritte für jeden Raspberry Pi Viel Spaß mit Elektronik und dem Pico W Inspirierende Projekte für Ihre nächste Bauidee Lernen Sie MicroPython, indem Sie ein Handheld bauen Erste Schritte mit dem Raspberry Pi Camera Modul Künstliche Intelligenz: Bauen Sie Ihren eigenen GPT Chatbot

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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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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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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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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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Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR The RTL-SDR devices (V3 and V4) have gained popularity among radio amateurs because of their very low cost and rich features. A basic system may consist of a USB based RTL-SDR device (dongle) with a suitable antenna, a Raspberry Pi 5 computer, a USB based external audio input-output adapter, and software installed on the Raspberry Pi 5 computer. With such a modest setup, it is possible to receive signals from around 24 MHz to over 1.7 GHz. This book is aimed at amateur radio enthusiasts and electronic engineering students, as well as at anyone interested in learning to use the Raspberry Pi 5 to build electronic projects. The book is suitable for both beginners through experienced readers. Some knowledge of the Python programming language is required to understand and eventually modify the projects given in the book. A block diagram, a circuit diagram, and a complete Python program listing is given for each project, alongside a comprehensive description. The following popular RTL-SDR programs are discussed in detail, aided by step-by-step installation guides for practical use on a Raspberry Pi 5: SimpleFM GQRX SDR++ CubicSDR RTL-SDR Server Dump1090 FLDIGI Quick RTL_433 aldo xcwcp GPredict TWCLOCK CQRLOG klog Morse2Ascii PyQSO Welle.io Ham Clock CHIRP xastir qsstv flrig XyGrib FreeDV Qtel (EchoLink) XDX (DX-Cluster) WSJT-X The application of the Python programming language on the latest Raspberry Pi 5 platform precludes the use of the programs in the book from working on older versions of Raspberry Pi computers.

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Projekte mit Arduino, ESPHome, Home Assistant und Raspberry Pi & Co Dieses E-Book enthält verschiedene Projektbeispiele und beginnt mit einer Einführung in die Elektronik. Es erklärt unter anderem, wie man Home Assistant auf einem Raspberry Pi installiert, wie man Raumklimasensoren für Temperatur und Luftfeuchtigkeit nutzt, das MQTT-Protokoll sowie weitere Schnittstellen einsetzt und ESPHome verwendet, um Sensoren und Aktoren in Home Assistant zu integrieren. Zahlreiche Video-Tutorials ergänzen das Buch. Grundlagen der Elektrotechnik Das Buch beginnt mit einer Einführung in die Elektrotechnik. Ihr lernt die Grundlagen von Spannung, Strom, Widerständen, Dioden und Transistoren. Arduino und Mikrocontroller Ein kompletter Abschnitt widmet sich dem Arduino Uno. Ihr lernt den Aufbau kennen, schreibt erste Programme und erarbeitet praktische Beispiele. Home Assistant und Automatisierung Ihr erfahrt, wie Home Assistant auf einem Raspberry Pi eingerichtet wird, und lernt den Umgang mit Automatisierungen, Szenen und Geräten. Zusätzlich wird auf Zigbee, MQTT und ESP-NOW eingegangen – wichtige Technologien für die Heimautomation. ESP8266, ESP32 und ESP32-CAM Die beliebten ESP-Mikrocontroller werden ausführlich behandelt. Nach einer theoretischen Einführung folgen praktische Projekte, die euch zeigen, wie ihr das Beste aus diesen Geräten herausholen könnt. Sensoren und Aktoren Das Buch erklärt die Funktionsweise und Anwendung zahlreicher Sensoren wie Temperatur- und Luftfeuchtigkeitssensoren, Bewegungsmelder und RFID-Reader. Bei den Aktoren werden Schrittmotoren, e-ink Displays, Servo-Motoren und vieles mehr beleuchtet. Zu allen Geräten gibt es praxisnahe Anwendungsbeispiele. ESPHome Dieses Kapitel zeigt euch, wie ihr Sensoren und Aktoren ohne Programmieraufwand in Home Assistant integriert. Ihr werdet Schritt für Schritt durch die Einrichtung mit ESPHome geführt. LEDs und Lichttechnik In diesem Kapitel lernt ihr verschiedene LED-Typen und deren Einsatzmöglichkeiten kennen. Grundlagen der Lichttechnik werden ebenfalls erklärt. Node-RED Ein eigenes Kapitel ist Node-RED gewidmet. Ihr erlernt die Grundlagen dieses leistungsstarken Tools und werdet Schritt für Schritt durch die Einrichtung und Nutzung geführt. Integrierte Schaltkreise (ICs) In der Elektronik gibt es zahlreiche ICs, die uns das Leben erleichtern. Ihr lernt die wichtigsten kennen und wendet das Wissen in praktischen Projekten an. Programmieren für Profis Fortgeschrittene Themen wie die korrekte Verwendung von Tastern, der Einsatz von Interrupts und die Nutzung eines NTP-Servers für Zeit-Synchronisation werden in diesem Kapitel detailliert behandelt. Downloads GitHub

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Wanneer u regelmatig experimenteert met de Raspberry Pi en verschillende externe hardware aansluit op de GPIO-poort via de header, heeft u mogelijk in het verleden schade veroorzaakt. Het Elektor Raspberry Pi Buffer Board is er om dit te voorkomen! Het board is compatibel met de Raspberry Pi Zero, Zero 2 (W), 3, 4, 5, 400 en 500. Alle 26 GPIO's zijn gebufferd met bidirectionele spanningsomzetters om de Raspberry Pi te beschermen tijdens het experimenteren met nieuwe circuits. De printplaat is bedoeld om aan de achterkant van de Raspberry Pi 400/500 te worden geplaatst. De connector voor aansluiting op de Raspberry Pi is een haakse 40-polige connector (2x20). De printplaat is slechts iets breder. Een 40-polige flatcable met bijpassende 2x20 headers kan worden aangesloten op de buffer-uitgangsheader om bijvoorbeeld te experimenteren met een circuit op een breadboard of een printplaat. Het circuit maakt gebruik van 4x TXS0108E IC's van Texas Instruments. De printplaat kan ook rechtop op een Raspberry Pi worden geplaatst. Downloads Schematics Layout

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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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Verbeter je Raspberry Pi 5 met de Pironman 5, gebouwd met stevig aluminium, superieure koeling, NVMe M.2 SSD-ondersteuning, OLED-display, RGB-verlichting, standaard HDMI-poorten x2 en een veilige aan/uit-schakelaar. Het is perfect voor NAS, Home Assistant, Media en Game Centers. De Pironman 5 is niet zomaar een behuizing; het is een upgrade die uw Raspberry Pi 5 verandert in een krachtig, efficiënt en stijlvol apparaat. De Pironman 5 bevat de Pi 5 NVMe PIP (PCIe Peripheral Board), een PCIe-adapterkaart die speciaal is ontworpen voor NVMe solid-state drives. Dit bord ondersteunt NVMe SSD's in vier formaten: 2230, 2242, 2260 en 2280, die allemaal in een M.2 M key-slot kunnen worden geïnstalleerd. De verbinding is gecertificeerd voor Gen2.0-snelheden (5 GT/sec), maar kan worden geforceerd naar Gen 3.0 (10 GT/sec) voor snellere prestaties. Uitbreidbaar NVMe M.2 SSD-slot Verbeter de prestaties van uw Raspberry Pi 5 met de NVMe M.2 SSD-sleuf van de Pironman 5, die meerdere formaten ondersteunt (2230, 2242, 2260, 2280) voor meer opslag en snellere systeemreactie. Geavanceerd koelsysteem Houd je Raspberry Pi 5 koel en stijlvol met de torenkoeler en dubbele RGB-ventilatoren van de Pironman 5, voorzien van stoffilters voor een duurzame en onderhoudsarme werking. OLED-display voor direct inzicht De Pironman 5 heeft een OLED-scherm van 0,96 inch, dat onmiddellijke updates biedt over CPU- en RAM-gebruik, temperatuur, IP-adres en meer. Verbeterde functionaliteit en veiligheid De Pironman 5 beveiligt je Raspberry Pi 5 met functies zoals veilig uitschakelen, aanpasbare RGB-LED's, HDMI-poorten, een IR-ontvanger en een externe GPIO-extender, waardoor de functionaliteit en connectiviteit worden verbeterd. Kenmerken Raspberry Pi 5 mini-pc OLED-display van 0,96 inch waarop het CPU-gebruik, de temperatuur, het schijfgebruik, het IP-adres, het RAM-gebruik enz. van de Raspberry Pi worden weergegeven. Torenkoeler kan een CPU-belasting Pi van 100% koelen tot 39°C bij een kamertemperatuur van 25°C 2 RGB-ventilatoren, met GPIO-bediening 1 PWM-ventilator op de torenkoeler wordt bestuurd door het Raspberry Pi-systeem. Ondersteunt vier (PCIe Gen 2.0 / PCIe Gen 3.0) NVMe M.2 SSD-formaten: 2230, 2242, 2260 en 2280. 4 WS2812 adresseerbare RGB-LED's verlichten de hele behuizing met een cool lichteffect IR-ontvanger voor multimediacentra zoals Kodi of Volumio Retro metalen aan/uit-knop voor veilig uitschakelen Externe GPIO-extender met pinnaamlabel, voor gemakkelijke toegang Uitgerust met een veerbelaste aansluiting voor eenvoudig verwijderen van de kaart Aluminium hoofdgedeelte met helder acryl zijpaneel Beschikt over twee standaard HDMI-poorten Downloads Documentation

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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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