Search results for "raspberry pi debug probe"

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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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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Praxisnahe Projekte, Profi-Tricks und eigene Anwendungen Dieses Buch führt Sie Schritt für Schritt in die faszinierende Welt der State Machines ein und zeigt, wie Sie Hardware direkt und effizient ansteuern können – jenseits klassischer CPU-gesteuerter Ansätze. In diesem Buch lernen Sie: LEDs und NeoPixel kreativ steuern: Blinken, Dimmen, Farbwechsel und komplexe Animationen Taster und Encoder zuverlässig auslesen und in Echtzeit in Ihre Projekte integrieren Analoge Eingänge (ADC) nutzen und Signale digital steuern Servos präzise ansteuern und Bewegungsabläufe automatisieren SPI mit PIO umsetzen, um Displays, Sensoren und Module anzusteuern Menüsysteme und Submenüs auf SPI-Displays realisieren, inklusive Navigation über mehrere Taster PWM, Signalgenerierung und Frequenzsteuerung für akustische oder visuelle Effekte Debugging-Strategien und Tipps, um Ihre PIO-Programme effizient zu entwickeln Alle Beispiele sind praxisnah, sofort umsetzbar und zuverlässig. Mit klaren Anleitungen, Hintergrundwissen und fertigen Codebeispielen lernen Sie, die PIO-Fähigkeiten des Pico maximal zu nutzen – egal ob für Maker-Projekte, Prototypen oder professionelle Anwendungen. Erleben Sie, wie Sie komplexe Hardwaresteuerung elegant mit dem Pico realisieren können – schneller, flexibler und leistungsfähiger als je zuvor.

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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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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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Mehr als 50 Grundlagenprojekte mit MicroPython und dem RP2040-Mikrocontroller Der Raspberry Pi Pico ist eine leistungsstarke Mikrocontroller-Platine, die speziell für das Physical Computing – also hardwarenahe Anwendungen – entwickelt wurde. Der Raspberry Pi Pico kann so programmiert werden, dass er eine einzelne Aufgabe sehr effizient ausführt und ermöglicht so schnelle Steuerungs- und Überwachungsanwendungen in Echtzeit. Der 'Pico', wie wir ihn nennen, basiert auf dem schnellen, effizienten und kostengünstigen Dual-Core ARM Cortex-M0+ RP2040 Mikrocontroller-Chip, der mit bis zu 133 MHz läuft und über 264 KB SRAM und 2 MB Flash-Speicher verfügt. Neben dem großen Speicher hat der Pico noch weitere attraktive Eigenschaften, darunter eine große Anzahl von GPIO-Pins sowie gängige Schnittstellen wie ADC, SPI, I²C, UART und PWM. Als Krönung bietet der Chip schnelle und genaue Timer, eine Hardware-Debug-Schnittstelle und einen internen Temperatursensor. Zur Programmierung lassen sich leicht die gängigen Hochsprachen wie MicroPython oder C/C++ verwenden. Dieses Buch ist eine Einführung in die Verwendung des Pico mit der Programmiersprache MicroPython. In allen Projekten wird die Thonny-Entwicklungsumgebung (IDE) eingesetzt. Über 50 Projekte decken folgende Themen ab: Installation von MicroPython auf dem Raspberry Pi Pico Timer-Interrupts und externe Interrupts Projekte mit Analog-Digital-Wandler (ADC) Verwendung des internen sowie externer Temperatursensoren Datenlogger Projekte zur PWM, UART, I²C-Bus und SPI-Bus Wi-Fi und Bluetooth für die Kommunikation mit Smartphones Projekte mit dem Digital-Analog-Wandler (DAC) Alle in diesem Buch vorgestellten Projekte wurden vollständig getestet und sind funktionsfähig. Es werden keine Programmier- oder Elektronikkenntnisse vorausgesetzt, um sie nachzuvollziehen. Für alle beschriebenen Projekte gibt es kurze Beschreibungen, Blockdiagramme, detaillierte Schaltpläne und vollständige MicroPython-Programmlistings. Die Listings sind auch auf der zum Buch gehörenden Elektor-Webseite zu finden.

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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 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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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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Arduino-compatible, ESP32-controlled, 2-wheeled Balancing Robot The Elektor Mini-Wheelie is an experimental autonomous self-balancing robot platform. Based on an ESP32-S3 microcontroller, the self-balancing robot is fully programmable using the Arduino environment and open-source libraries. Its wireless capabilities allow it to be controlled remotely over Wi-Fi, Bluetooth or ESP-NOW or to communicate with a user or even another robot. An ultrasonic transducer is available for detecting obstacles. Its color display can be used for displaying cute facial expressions or, for the more down-to-earth users, cryptic debug messages. The robot comes as a neat kit of parts that you must assemble yourself. Everything is included, even a screwdriver. Note: The Mini-Wheelie is an educational development platform intended for learning, experimentation, and robotics development. It is not classified as a toy for children, and its features, documentation, and intended audience reflect this purpose. The product is aimed at students, educators, and developers who wish to explore robotics, programming, and hardware integration in an educational setting. Specifications ESP32-S3 microcontroller with Wi-Fi and Bluetooth MPU6050 6-axis Inertial Measurement Unit (IMU) Two independently controlled 12 V electric motors with tachometer Ultrasonic transducer 2.9" TFT color display (320 x 240) MicroSD card slot Battery power monitor 3S rechargeable Li-Po battery (11.1 V/2200 mAh) Battery charger included Arduino-based open-source software Dimensions (W x L x H): 23 x 8 x 13 cm Included 1x ESP32-S3 Mainboard + MPU6050 module 1x LCD board (2.9 inch) 1x Ultrasonic sensor 1x Battery pack (2200 mAh) 1x Battery charger 1x Motor tyre kit 1x Case board 1x Acrylic board 1x Screwdriver 1x Protective strip 1x Flex cable B (8 cm) 1x Flex cable A (12 cm) 1x Flex cable C 4x Copper column A (25 mm) 4x Copper column B (55 mm) 4x Copper column C (5 mm) 2x Plastic nylon column 8x Screws A (10 mm) 24x Screws B (M3x5) 8x Nuts 24x Metal washers 2x Zip tie 1x MicroSD card (32 GB) Downloads Documentation

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Multilingual DIY Kit (incl. 27 RGB LEDs + Raspberry Pi Pico) Bring some engineering magic to your festive season with the Wordy LED Christmas Tree, a unique DIY electronics kit designed by Elektor. This beautifully engineered 3D Christmas tree combines eleven PCBs, a Raspberry Pi Pico, and 27 addressable RGB LEDs to illuminate Christmas greetings in seven languages: Danish, Dutch, English, French, German, Italian, and Spanish. Unlike ordinary LED trees, each word inside the tree has its own light chamber, creating a refined, softly glowing display without sound or flicker. The LEDs are fully WS2812-compatible and driven via the popular Adafruit NeoPixel library, making custom animations and color effects easy to create. Perfect for makers, tinkerers, and festive electronics fans, this kit offers both an enjoyable build and a striking, conversation-worthy decoration. The Wordy Christmas Tree is your perfect holiday maker project! Features Multilingual greetings (7 languages) milled into the front panel 3D construction from 11 interlocking PCBs Powered by Raspberry Pi Pico 27 individually addressable RGB LEDs (pre-mounted) Smooth fade-in and fade-out animations Fully programmable using the Arduino IDE A 5-V power supply (with micro-USB connector) capable of ≥1 A is recommended for maximum brightness (not included) Dimensions (H x W x D): 130 x 115 x 75 mm Included All required PCBs with LEDs and other SMD parts mounted Raspberry Pi Pico (to be soldered & programmed by the user) 3-way pin header (to be soldered by the user) 3-way pin socket (to be soldered by the user) 4x Self-adhesive dome bumpers Project Page Elektor Labs

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This bundle includes the Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit and the new book "Experimenting with Red Pitaya STEMlab Gen 2". The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is a powerful and flexible platform for signal processing, data acquisition, and electronic measurement applications. Designed for engineers, developers, researchers, and educators, this kit provides everything required to start building advanced measurement and control systems. At the core of the kit is the STEMlab 125-14 PRO Gen 2 board, an upgraded and ultra-lightweight development platform. Powered by the Xilinx Zynq-7010 SoC with 512 MB of RAM, it combines FPGA programmability with ARM processing power to enable high-performance instrumentation and custom signal-processing solutions. The board offers 14-bit ADC and DAC resolution, a 125 MS/s sampling rate, an input range of ±20 V, and up to 60 MHz bandwidth. Its improved low-noise analog front-end, USB-C connectivity, and compact design make it suitable for demanding applications such as RF development, radar systems, photonics research, software-defined radio (SDR), and industrial automation. The Starter Kit includes all essential accessories for immediate use: a microSD card with preinstalled operating system, power supply, Ethernet cable for remote access, two 100 MHz oscilloscope probes, and SMA-to-BNC adapters for flexible signal connections. The Red Pitaya STEMlab 125-14 PRO Gen 2 Starter Kit is an excellent platform for rapid prototyping, FPGA development, measurement instrumentation, and advanced electronics experimentation. Features 14-bit ADC and DAC resolution 125 MS/s sampling rate ±20 V input range Up to 60 MHz bandwidth Xilinx Zynq-7010 SoC (FPGA + ARM processor) 512 MB RAM Low-noise analog front- and back-ends Applications RF development and testing Radar and wireless systems Software-defined radio (SDR) Photonics and optical research Industrial automation and control systems Signal analysis and instrumentation Rapid prototyping of electronic measurement systems Specifications Processor Dual-core ARM Cortex-A9 FPGA AMD Xilinx Zynq-7010 SoC RAM 512 MB (4 Gb) Storage microSD card (up to 32 GB) Operating System Linux-based Red Pitaya OS ADC Resolution 14-bit DAC Resolution 14-bit Bandwidth 60 MHz (DC) Sampling Rate 125 MS/s Analog Input Channels 2 Analog Output Channels 2 Input Voltage Range ±1 V (LV) / ±20 V (HV) Input Impedance 1 MΩ / 10 pF Output Voltage Range ±1 V Ethernet 1x Gigabit Ethernet (RJ45) USB 2x USB-C 2.0 (for power and console) Digital I/O 16x GPIO (3.3 V) Communication Interfaces I²C, SPI, UART, CAN Power Supply 5 V/3 A via USB-C Dimensions 106.8 x 60.0 x 17.9 mm Included 1x Red Pitaya STEMlab 125-14 PRO Gen 2 board 2x 100 MHz oscilloscope probes 2x SMA-to-BNC adapters 1x microSD card with preinstalled OS 1x USB-C Power supply 1x Ethernet cable Downloads Documentation Schematics Book: Experimenting with Red Pitaya STEMlab Gen 2 With this new book, Red Pitaya goes beyond a versatile board. It becomes a powerful laboratory instrument for precision measurement, analysis, and control. From the fundamentals of electronic project development, monitoring, control, and design to testing, this book walks you step-by-step through everything you need to know to harness the full potential of Red Pitaya hardware and software. The book presents real-time, FPGA-based projects that are developed on a PC using the Vivado environment, then transferred to the Red Pitaya for execution and testing. You will learn about enhanced performance, expanded I/O capabilities, improved FPGA features, and advanced connectivity options that open up new frontiers for precision measurement, monitoring, and control in your embedded applications. Inside the book you will discover: A deep dive into Red Pitaya architecture and hardware design Electronic experiments using Red Pitaya for measurement and monitoring Hands-on projects using the Python programming language Practical guidance for FPGA programming using Red Pitaya Red Pitaya FPGA projects using the Verilog HDL under Vivado IDE Practical design of electronic projects including measurement and testing Step-by-step examples that bridge theory and real-world implementation Whether you are designing your own electronic circuits, developing signal analysis tools, or creating real-time control or monitoring systems, this book provides you the knowledge and confidence you need to fully learn and customize the Red Pitaya platform.

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