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Van de makers van MagPi, het officiële Raspberry Pi-magazine Ga aan de slag met Raspberry Pi 5, de nieuwste en beste in de Raspberry Pi-microcomputerlijn; leer programmeren en creeren met deze fantastische computer. Daarnaast zijn er nog genoeg dingen die je kunt doen met Raspberry Pi 4, Raspberry Pi Zero 2 W en Raspberry Pi Pico W in dit handboek. Met de nieuwste recensies, tutorials, projectpresentaties, handleidingen en nog veel meer is dit je ultieme bron voor Raspberry Pi! 228 pagina’s Raspberry Pi Alles wat je moet weten over de Raspberry Pi 5 Snelle en praktische gids voor elke Raspberry Pi Beleef serieus plezier met elektronica en de Pico W Inspirerende projecten voor uw volgende bouwidee Leer μPython door een “handheld” te bouwen Aan de slag met de Raspberry Pi Camera-module Kunstmatige Intelligentie; bouw je eigen GPT Chatbot

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Pfiffige Projekte zum Messen, Steuern und Regeln Der Raspberry Pi dominiert seit vielen Jahren die Maker-Szene. Frei verfügbare I/O-Pins machten ihn zu einem der beliebtesten Prozessorboards aller Zeiten. Allerdings verfügt der klassische Raspberry Pi über keinerlei Analogeingänge. Eine direkte Messung analoger Werte ist damit nicht möglich. So können weder Photodioden noch NTCs oder Hallsensoren etc. unmittelbar ausgelesen werden. Zudem sind die Pins direkt, d. h. ohne Treiber oder Schutzschaltung, mit den freiliegenden Kontakten verbunden. Dadurch kann der zentrale Controller und damit der gesamte Raspberry Pi schnell zerstört werden. Mit dem Pico können diese Probleme elegant gelöst werden. Er kann als sogenanntes „Frontend“ problemlos vielfältige Messaufgaben übernehmen. Zudem ist der Pico deutlich preisgünstiger als ein klassischer Raspberry Pi 4. Falls eine Fehlbeschaltung zur Zerstörung des Pico führt, ist dies vor allem für nicht-professionelle Anwender relativ leicht zu verkraften. Der klassische Raspberry Pi und der Pico werden so zum idealen Duo. Das Buch führt entsprechend in das weite und hochaktuelle Gebiet der modernen Controllertechnik anhand der beiden Boards „Raspberry Pi 4“ und „Raspberry Pi Pico“ ein. Neben einer tiefergehenden Einführung in die Arbeits- und Funktionsweise der Controllerboards selbst wird insbesondere auch auf die Messwerterfassung und -verarbeitung mit digitalen Prozessoren eingegangen. Insbesondere die Kombination beider Systeme bietet vielfältige und hochinteressante Möglichkeiten. Praktische Projekte aus dem Inhalt: USB-Verbindung zwischen Raspberry Pi 4 und Pico I²C-Kommunikation und Pico als I²C-Device Voltmeter und Computerthermometer Pico W als Web-Server und WLAN-Scanner Frequenzmesser und -generatoren OLED-Displays an Pico und Raspberry Pi 4 Energiesparmonitor Welche Astronauten sind im Orbit? Mini-Monitor für den aktuellen Bitcoin-Kurs

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Design IoT Projects with Raspberry Pi, Arduino and ESP32 The Internet of Things (IoT) is becoming a major application area for embedded systems. As a result, more and more people are becoming interested in learning about embedded design and programming. Technical colleges and universities are moving away from legacy 8 and 16-bit microcontrollers and are introducing 32-bit embedded microcontrollers to their curriculums. Many IoT applications demand precision, high processing power, and low power consumption. Produced by IBM, Node-RED is an open-source visual editor for wiring the Internet of Things. Node-RED comes with a large number of nodes to handle a multitude of tasks. The required nodes are selected and joined together to perform a particular task. Node-RED is based on flow type programming where nodes are configured and joined together to form an application program. There are nodes for performing complex tasks, including web access, Twitter, E-mail, HTTP, Bluetooth, MQTT, controlling GPIO ports, etc. One particularly nice aspect of Node-RED is that the programmer does not need to learn how to write complex programs. For example, an email can be sent by simply joining nodes together and writing only a few lines of code. The aim of this book is to teach how Node-RED can be used in projects. The main hardware platform used with most of the projects in this book is Raspberry Pi 4. Chapters are included to show how Node-RED can be also be used with Arduino Uno, ESP32 DevKitC, and the ESP8266 NodeMCU microcontroller development boards.

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This clear acrylic case is the official case for the HackRF One/Pro board. It can replace the standard black plastic case of the HackRF One/Pro. Assembly Instructions Use a guitar pick or spudger to extract the HackRF One/Pro circuit board from the black plastic case. Insert one long screw into each corner of the bottom acrylic panel. Secure each long screw with a short (5 mm) spacer on the opposite side of the panel. Place the HackRF One/Pro circuit board (facing up) on top of the bottom panel, fitting the ends of the long screws through the corner mounting holes of the circuit board. Secure the circuit board with one long (6 mm) spacer in each corner. Place the top acrylic panel on top of the circuit board, aligning the cutouts with the circuit board’s expansion headers. Secure each corner with a short screw. Note: Do not overtighten! Hand-tighten only at every step.

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This bundle contains the popular Elektor Sand Clock for Raspberry Pi Pico and the new Elektor Laser Head Upgrade, offering even more options for displaying the time. Not only can you "engrave" the current time in sand, you can now alternatively write it on a glow-in-the-dark foil or create green drawings. Contents of the bundle Elektor Sand Clock for Raspberry Pi Pico (normal price: €50) Elektor Laser Head Upgrade for Sand Clock (normal price: €35) Elektor Sand Clock for Raspberry Pi (Raspberry Pi-based Eye Catcher) A standard sand clock just shows how time passes. In contrast, this Raspberry Pi Pico-controlled sand clock shows the exact time by "engraving" the four digits for hour and minute into the layer of sand. After an adjustable time the sand is flattened out by two vibration motors and everything begins all over again. At the heart of the sand clock are two servo motors driving a writing pen through a pantograph mechanism. A third servo motor lifts the pen up and down. The sand container is equipped with two vibration motors to flatten the sand. The electronic part of the sand clock consists of a Raspberry Pi Pico and an RTC/driver board with a real-time clock, plus driver circuits for the servo motors. A detailed construction manual is available for downloading. Features Dimensions: 135 x 110 x 80 mm Build time: approx. 1.5 to 2 hours Included 3x Precut acrylic sheets with all mechanical parts 3x Mini servo motors 2x Vibration motors 1x Raspberry Pi Pico 1x RTC/driver board with assembled parts Nuts, bolts, spacers, and wires for the assembly Fine-grained white sand Elektor Laser Head Upgrade for Sand Clock The new Elektor Laser Head transforms the Sand Clock into a clock that writes the time on glow-in-the-dark film instead of sand. In addition to displaying the time, it can also be used to create ephemeral drawings. The 5 mW laser pointer, with a wavelength of 405 nm, produces bright green drawings on the glow-in-the-dark film. For best results, use the kit in a dimly lit room. Warning: Never look directly into the laser beam! The kit includes all the necessary components, but soldering three wires is required. Note: This kit is also compatible with the original Arduino-based Sand Clock from 2017. For more details, see Elektor Magazine 1-2/2017 and Elektor Magazine 1-2/2018.

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World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Waffle Pi is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.26 m/s Maximum rotational velocity 1.82 rad/s (104.27 deg/s) Maximum payload 30 kg Size (L x W x H) 281 x 306 x 141 mm Weight (+ SBC + Battery + Sensors) 1.8 kg Threshold of climbing 10 mm or lower Expected operating time 2h Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Remote Controller RC-100B + BT-410 Set (Bluetooth 4, BLE) Actuator XL430-W210 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 Camera Raspberry Pi Camera Module v2.1 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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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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Raspberry Pi-based Eye Catcher A standard sand clock just shows how time passes. In contrast, this Raspberry Pi Pico-controlled sand clock shows the exact time by “engraving” the four digits for hour and minute into the layer of sand. After an adjustable time the sand is flattened out by two vibration motors and everything begins all over again. At the heart of the sand clock are two servo motors driving a writing pen through a pantograph mechanism. A third servo motor lifts the pen up and down. The sand container is equipped with two vibration motors to flatten the sand. The electronic part of the sand clock consists of a Raspberry Pi Pico and an RTC/driver board with a real-time clock, plus driver circuits for the servo motors. A detailed construction manual is available for downloading. Features Dimensions: 135 x 110 x 80 mm Build time: approx. 1.5 to 2 hours Included 3x Precut acrylic sheets with all mechanical parts 3x Mini servo motors 2x Vibration motors 1x Raspberry Pi Pico 1x RTC/driver board with assembled parts Nuts, bolts, spacers, and wires for the assembly Fine-grained white sand

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This complete Raspberry Pi Pico microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming in MicroPython using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the Raspberry Pi Pico This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. 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 examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming in MicroPython with the Raspberry Pi Pico using the Thonny IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It 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 What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform Raspberry Pi Pico microcontroller board + USB cable Book: Programming Microcontrollers in MicroPython Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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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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Cool Projects for Test, Measurement, and Control The Raspberry Pi has dominated the maker scene for many years. Freely accessible I/O pins have made it one of the most popular processor boards of all time. However, the classic Raspberry Pi has no analog inputs. Direct measurement of analog values is therefore not possible. Consequently, photodiodes, NTCs, Hall sensors, etc. cannot be read directly. In addition, the pins are connected directly to the exposed contacts, i.e. without a driver or protection circuit. This can quickly destroy the central controller and thus the entire Raspberry Pi. These problems can be elegantly solved with the Pico. As a front-end, it can easily handle a wide range of measurement tasks. In addition, the Pico is much cheaper than a classic Raspberry Pi 4 or 5. If a faulty circuit leads to the destruction of the Pico, this is relatively easy to handle. This makes the combination of a classic Raspberry Pi 4 or 5 and the Pico an ideal pair. The book introduces the broad and highly topical field of modern controller technology using the combined force of a Raspberry Pi 4 or 5 and a Raspberry Pi Pico. In addition to a detailed introduction to the operation and functionality of the controller boards themselves, the book also focuses on data acquisition and processing with digital processors. Especially the combination of both systems offers a wide range of interesting possibilities. Some practical projects from the contents: USB between Raspberry Pi 4 or 5 and Pico I²C Communication and Pico as an I²C device Voltmeter and Computer Thermometer Pico W as a Web Server and WLAN Scanner Frequency Meters and Generators OLED Displays on Raspberry Pi 4 or 5 and Pico Energy Saving Monitor Which Astronauts are in Orbit? Mini Monitor for Current Bitcoin Exchange Rate

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – 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. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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