Zoekresultaten voor "raspberry or pi or 500 or de"

TurtleBot 4 is the next-generation of the world’s most popular open source robotics platform for education and research, offering better computing power, better sensors and a world class user experience at an affordable price point.TurtleBot 4 Lite is equipped with an iRobot Create 3 mobile base, a powerful Raspberry Pi 4 running ROS 2, OAK-D spatial AI stereo camera, 2D LiDAR and more. All components have been seamlessly integrated to deliver an out-of-the-box development and learning platform.Specifications Base platform iRobot Create 3 Wheels (Diameter) 72 mm Ground Clearance 4.5 mm On-board Computer Raspberry Pi 4 (4 GB) Maximum linear velocity 0.31 m/s in safe mode0.46 m/s without safe mode Maximum angular velocity 1.90 rad/s Maximum payload 9 kg Operation time 2h 30m – 4h depending on load Charging time 2h 30m Lidar RPLIDAR A1M8 Camera OAK-D-Lite User Power VBAT @1.9 A5 V @ Low current3.3 V @ Low current USB Expansion 2x USB 2.0 (Type A)2x USB 3.0 (Type A) Programmable LEDs Create 3 Lightring Buttons and Switches 2x Create 3 User buttons1x Create 3 Power Button Battery 26 Wh Lithium Ion (14.4 V nominal) Charging Dock Included Size (L x W x H) 342 x 339 x 192 mm Weight 3.3 kg DownloadsUser Manual

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Arduino-compatibele, ESP32-aangedreven tweewielige balansrobot De Elektor Mini-Wheelie is een experimenteel autonoom zelfbalancerend robotplatform. De zelfbalancerende robot is gebaseerd op een ESP32-S3-microcontroller en is volledig programmeerbaar met behulp van de Arduino-omgeving en open-sourcebibliotheken. Dankzij de draadloze mogelijkheden kan hij op afstand worden bediend via Wi-Fi, Bluetooth of ESP-NOW, of kan hij communiceren met een gebruiker of zelfs een andere robot. Er is een ultrasone transducer beschikbaar voor het detecteren van obstakels. Het kleurendisplay kan worden gebruikt voor het weergeven van schattige gezichtsuitdrukkingen of, voor de meer nuchtere gebruikers, voor cryptische debug-berichten. De robot wordt geleverd als een compleet bouwpakket met onderdelen die u zelf in elkaar moet zetten. Alles zit erbij, zelfs een schroevendraaier. Let op: De Mini-Wheelie is een educatief ontwikkelingsplatform bedoeld voor leren, experimenteren en robotica-ontwikkeling. Het is niet geclassificeerd als speelgoed voor kinderen en de functies, documentatie en beoogde doelgroep weerspiegelen dit doel. Het product is gericht op studenten, docenten en ontwikkelaars die robotica, programmeren en hardware-integratie willen verkennen in een educatieve omgeving. Specificaties ESP32-S3-microcontroller met Wi-Fi en Bluetooth MPU6050 6-assige Inertial Measurement Unit (IMU) Twee onafhankelijk geregelde 12 V elektromotoren met toerenteller Ultrasone transducer 2,9" TFT-kleurendisplay (320 x 240) MicroSD-kaartsleuf Batterijstroommonitor 3S oplaadbare Li-Po-batterij (11,1 V/2200 mAh) Batterijlader meegeleverd Op Arduino gebaseerde open source-software Afmetingen (B x L x H): 23 x 8 x 13 cm Inbegrepen 1x ESP32-S3 Mainboard + MPU6050 module 1x LCD-board (2,9 inch) 1x Ultrasone-sensor 1x Batterijpakket (2200 mAh) 1x Batterijlader 1x Motorbandenset 1x Kastboard 1x Acrylplaat 1x Schroevendraaier 1x Beschermstrip 1x Flexkabel B (8 cm) 1x Flexkabel A (12 cm) 1x Flexkabel C 4x Koperen kolom A (25 mm) 4x Koperen kolom B (55 mm) 4x Koperen kolom C (5 mm) 2x Kunststof nylon zuil 8x Schroeven A (10 mm) 24x Schroeven B (M3x5) 8x Moeren 24x Metalen ringen 2x Ritssluiting 1x MicroSD-kaart (32 GB) Downloads Documentation

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In 35 Projects with the Raspberry Pi and Arduino The Internet of Things (IoT) is a trend with a strong technological impulse. At home, we want to do everything on our tablets, from browsing Facebook to watching TV, from operating lights to keeping an eye on the temperature. In 35 fun projects, this book will show you how to build your own Internet of Things system. We'll cover the hardware (primarily the Raspberry Pi and Arduino) and the software that makes control via Internet possible. We employ Wi-Fi and radio links so no requirement any longer to install cabling crisscross through your home. Assuming the projects in the book are finished, you have a complete Internet of Things system that allows you to control and view of everything in your home. For example, if there's something in the mail box or the car is securely in the garage. Also, you can switch on the lights and the alarm from your couch. The crisp explanations allow the projects to be customized with ease, for example, to turn on your coffee machine or TV remotely. The index gives easy access to creative projects that can serve as an example, enabling you to do all the connecting to the IoT independently. All project software can be downloaded free of charge from the Elektor website. In this unique book, Raspberry Pi, Arduino and HTML webpages with stylesheets and JavaScript come together in clearly-described, easy-to-build projects. This special book is an essential part of your collection!

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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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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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61 pagina's met de beste Raspberry Pi artikelen en projecten uit Elektor Magazine: Windows op de Raspberry Pi (1) Windows op de Raspberry Pi (2) Windows op de Raspberry Pi (3) Raspberry Pi wobbulator Raspberry-Pi-emulator Raspberry-Pi-voltmeter Raspberry Pi prototyping-board Visual Basic op de Raspberry Pi RPi meet energieverbruik Voor Linux-board en Raspberry Pi Maak uw eigen I2C-device voor de Raspberry Pi SD-kaart-upgrade voor RPi model 2 Mini-workshop GestIC & 3D-touchpad (2) Surfen op de golven van de RPi ATmega op het web (1) ATmega op het web (2)

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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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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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Het boek “Sensoren aan de Raspberry Pi” richt zich tot iedereen die zich wil verdiepen in een Raspberry Pi in combinatie met Windows 10 IoT Core. Dit besturingssysteem biedt samen met een RPi weliswaar veel rekenkracht, maar voor de communicatie met de buitenwereld zijn nog externe modules en sensoren nodig. Daartoe wordt in dit boek gebruik gemaakt van een sensor-kit met 35 modules die nog geen 60 euro kost. Auteur Florian Schäffer begint zijn boek met de introductie van de Raspberry Pi en hij beschrijft welke hardware u nodig hebt om met de RPi te kunnen werken. Dan volgt een eerste kennismaking met Windows 10 IoT Core. Daarna wordt dieper ingegaan op het gebruik van Visual Studio 2015 en worden de eerste programmeervoorbeelden beschreven. Ook wordt uitgelegd hoe een MySQL-databank kan worden aangestuurd via een app en hoe de als webserver kan worden ingezet. In het tweede deel worden de sensoren stuk voor stuk beschreven met hun eigenschappen en worden er veel toepassingsvoorbeelden gegeven. De source-codes van de programma’s zijn als download bij het boek beschikbaar. Tot slot wordt nog aandacht besteed aan het gebruik van druktoetsen en schakelaars, en het werken met digitale uitgangen en analoge ingangen.

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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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Mit RPi-basierten Tools und Messgeräten Amateurfunkstationen bauen und programmieren Obwohl viele Funkamateure immer noch mit klassischer HF- und Mobilfunkausrüstung arbeiten, ist der Einsatz von Computern und digitalen Techniken inzwischen sehr beliebt. Heutzutage kann jeder für ca. 40 € einen Raspberry Pi-Computer kaufen und fast jede Amateurfunk-Software auf dem 'RPi' ausführen. Die RTL-SDR-Geräte sind bei Funkamateuren sehr beliebt, weil sie sehr preiswert sind und viele Funktionen bieten. Ein Basissystem kann aus einem USB-basierten RTL-SDR-Dongle mit einer geeigneten Antenne, einem RPi-Computer, einem USB-basierten externen Audio-Eingangs-/ Ausgangsadapter und einer auf dem RPi installierten Software bestehen. Mit einer solch einfachen Einrichtung ist es möglich, Signale von etwa 24 MHz bis über 1,7 GHz zu empfangen. Dieses Buch richtet sich an Funkamateure, die lernen wollen, wie man mit dem Raspberry Pi elektronische Projekte baut. Das Buch eignet sich für die gesamte Bandbreite von Anfängern bis hin zu alten Hasen im Amateurfunk. Die schrittweise Installation des Betriebssystems wird mit vielen Details zu den gängigsten Linux-Befehlen beschrieben. Einige Kenntnisse der Programmiersprache Python sind erforderlich, um die im Buch beschriebenen Projekte zu verstehen und zu bearbeiten. Zu den im Buch entwickelten Beispielprojekten gehören eine Stationsuhr, ein Signalgenerator, der Entwurf eines Transistorverstärkers, der Entwurf eines aktiven Filters, ein Morsezeichen-Übungsgerät, ein Frequenzzähler, ein HF-Meter und vieles mehr. Für jedes Projekt werden das Blockdiagramm, der Schaltplan und der vollständige Python-Quellcode angegeben, einschließlich der vollständigen Beschreibung der Projekte. Neben der umfassenden Behandlung von RTL-SDR für Amateurfunk fasst das Buch auch die Installations- und Gebrauchsanweisungen der folgenden Amateurfunkprogramme zusammen, die Sie auf ihrem Raspberry Pi ausführen können: TWCLOCK, Klog, Gpredict, FLDIGI, DIRE WOLF, xcwcp, QSSTV, LinPsk, Ham Clock, CHIRP, xastir und CQRLOG.

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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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