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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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The Raspberry Pi Bumper is a snap-on silicone cover that protects the bottom and edges of the Raspberry Pi 5. Features One-piece flexible silicone rubber bumper Enables easy access to the power button Mounting holes remain accessible underneath the bumper Downloads Datasheet

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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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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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A Fast-Lane Ride From Concept to Project The core of the book explains the use of the Raspberry Pi Zero 2 W running the Python programming language, always in simple terms and backed by many tested and working example projects. On part of the reader, familiarity with the Python programming language and some experience with one of the Raspberry Pi computers will prove helpful. Although previous electronics experience is not required, some knowledge of basic electronics is beneficial, especially when venturing out to modify the projects for your own applications. Over 30 tested and working hardware-based projects are given in the book, covering the use of Wi-Fi, communication with smartphones and with a Raspberry Pi Pico W computer. Additionally, there are Bluetooth projects including elementary communication with smartphones and with the popular Arduino Uno. Both Wi-Fi and Bluetooth are key features of the Raspberry Pi Zero 2 W. Some of the topics covered in the book are: Raspberry Pi OS installation on an SD card Python program creation and execution on the Raspberry Pi Zero 2 W Software-only examples of Python running on the Raspberry Pi Zero 2 W Hardware-based projects including LCD and Sense HAT interfacing UDP and TCP Wi-Fi based projects for smartphone communication UDP-based project for Raspberry Pi Pico W communication Flask-based webserver project Cloud storage of captured temperature, humidity, and pressure data TFT projects Node-RED projects Interfacing to Alexa MQTT projects Bluetooth-based projects for smartphone and Arduino Uno communications

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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 (200 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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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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Specifications Dual ARM Cortex-M0+ @ 133 MHz 264 kB on-chip SRAM in six independent banks Support for up to 16 MB of off-chip Flash memory via dedicated QSPI bus DMA controller Fully-connected AHB crossbar Interpolator and integer divider peripherals On-chip programmable LDO to generate core voltage 2x on-chip PLLs to generate USB and core clocks 30x GPIO pins, 4 of which can be used as analogue inputs Peripherals 2x UARTs 2x SPI controllers 2x I²C controllers 16x PWM channels USB 1.1 controller and PHY, with host and device support 8x PIO state machines What you'll get 10x bare RP2040 chips

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The Raspberry Pi is a $35 credit-card sized computer with many applications, such as in desktop computing, audio and video playback, and as a controller in many industrial, commercial and domestic applications. This book is about the Raspberry Pi computer and its use in control applications. The book explains in simple terms, with examples, how to configure the RPi, how to install and use the Linux operating system, how to write programs using the Python programming language and how to develop hardware based projects. The book starts with an introduction to the Raspberry Pi computer and covers the topics of purchasing all the necessary equipment and installing/using the Linux operating system in command mode. Use of the user-friendly graphical desktop operating environment is explained using example applications. The RPi network interface is explained in simple steps and demonstrates 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, hardware development tools, hardware interface details, and RPi based hardware projects. All the 23 projects given in the book have been tested and are working. The following headings are given for each project: Project title Project description Project block diagram Project circuit diagram Project program description using the Program Description Language (PDL) Complete program listing Description of the program The book is ideal for self-study, and is intended for electronic/electrical engineering students, practising engineers, research students, and hobbyists.

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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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A comprehensive course that will teach you how to build a modern IoT application This book will take you on a whirlwind tour of full-stack web application development using Raspberry Pi. You will learn how to build an application from the ground up. You will gain experience and know-how of technologies including: The Linux operating system and command line. The Python programming language. The Raspberry Pi General Purpose Input Output pins (GPIOs). The Nginx web server. Flask Python web application microframework. JQuery and CSS for creating user interfaces. Dealing with time zones. Creating charts with Plotly and Google Charts. Data logging with Google Sheet. Developing applets with IFTTT. Securing your application with SSL. Receiving SMS notifications to your phone using Twilio. This book will also teach you how to set up a remote wireless Arduino sensor node and collect data from it. Your Raspberry Pi web application will be able to process Arduino node data in the same way it processes data from its onboard sensor. Raspberry Pi Full Stack will teach you many skills essential to building Web and Internet of Things applications. The application you will build in this project is a platform that you can extend upon. This is just the start of what you can do with a Raspberry Pi and the software and hardware components that you will learn about. This book is supported by the author via a dedicated discussion space.

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