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The Raspberry Pi SSD Kit bundles a Raspberry Pi M.2 HAT+ with a Raspberry Pi NVMe SSD. It unlocks outstanding performance for I/O intensive applications on Raspberry Pi 5, including super-fast startup when booting from SSD. The Raspberry Pi SSD Kit is also available with 512 GB capacity. Features 40k IOPS (4 kB random reads) 70k IOPS (4 kB random writes) Conforms to the Raspberry Pi HAT+ specification Included 256 GB NVMe SSD M.2 HAT+ for Raspberry Pi 5 16 mm GPIO stacking header Mounting hardware kit (spacers, screws) Downloads Datasheet

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Can you use the SparkFun Top pHAT to prototype machine learning on your Raspberry Pi 4, NVIDIA Jetson, Google Coral or another single-board computer? Indubitably! The SparkFun Top pHAT supports machine learning interactions, including voice control with onboard microphones & speaker, graphical display for camera control feedback, and uninhibited access to the RPi camera connector. Additionally, you can use the programmable buttons, joystick, and RGB LED for user-defined I/O, dynamic system interaction, or system status displays. Can you use it as an interface to introduce your project to the SparkFun Qwiic ecosystem? Indeed! In addition to all the previous features, we have also included a Qwiic connector to allow easy integration over I²C. Billions of combinations of Qwiic-enabled boards are available to you to expand upon the capabilities of the SparkFun Top pHAT. With all the I/O interaction on this board and the lack of soldering needed to get up and running, the SparkFun Top pHAT is the fundamental machine learning add-on for Raspberry Pi or any 2x20 GPIO SBC! Features A Raspberry Pi pHAT that focuses on user interaction with an SBC/RPi. Support for machine learning interactions Voice control (microphones, speaker) Graphical display on 2.4' colour TFT Two Programmable buttons for user-defined I/O Programmable Joystick – for dynamic/interaction with the system (GUI menus, robot driving). Programmable RGB LEDs – for system status, display. Does not inhibit access to RPi camera or display connector On/Off switch for RPi. Supports access to the SparkFun Qwiic ecosystem Intended to be at the top of a pHAT stack - no pins for stacking on top of this board. It’s the Top pHAT!

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Raspberry Pi DAC+ (formerly known as IQaudio DAC+) is a high-performance audio HAT designed for any Raspberry Pi with a 40-pin GPIO header. Equipped with the Texas Instruments PCM5122 DAC, it delivers crystal-clear stereo analogue audio through a pair of phono (RCA) connectors. No external power is needed – the DAC+ connects directly to the Raspberry Pi’s GPIO header without requiring soldering or cables. Features Power LED Analogue audio out (0-2 V RMS) via panel-mounted stereo phono (RCA) sockets with MUTE signal (headphone detect) Dedicated headphone amplifier, output via 3.5 mm panel-mounted barrel socket 40-pin pass-through GPIO header HAT EEPROM write-enabled Downloads Datasheet

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The Raspberry Pi AI HAT+ 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. Available in models offering 13 or 26 tera-operations per second (TOPS), the AI HAT+ is based on the Hailo-8L and Hailo-8 neural network accelerators. This 13 TOPS model efficiently supports neural networks for tasks like object detection, semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant accommodates larger networks, enables faster processing, and is optimized for running multiple networks simultaneously. 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. Included Raspberry Pi AI HAT+ (13 TOPS) Mounting hardware kit (spacers, screws) 16 mm GPIO stacking header Downloads Datasheet

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The Raspberry Pi 500 (based on the Raspberry Pi 5) features a quad-core 64-bit Arm processor, RP1 I/O controller, 8 GB RAM, wireless networking, dual-display output, 4K video playback, and a 40-pin GPIO header. It's a powerful, compact all-in-one computer built into a portable keyboard. The built-in aluminum heatsink provides improved thermal performance, allowing the Raspberry Pi 500 to run quickly and smoothly even under heavy load. Specifications SoC Broadcom BCM2712 CPU ARM Cortex-A76 (ARM v8) 64-bit Clock rate 4x 2.4 GHz GPU VideoCore VII (800 MHz) RAM 8 GB LPDDR4X (4267 MHz) WiFi IEEE 802.11b/g/n/ac (2.4 GHz/5 GHz) Bluetooth Bluetooth 5.0, BLE Ethernet Gigabit Ethernet (with PoE+ support) USB 2x USB-A 3.0 (5 GBit/s)1x USB-A 2.01x USB-C (for power supply) PCI Express 1x PCIe 2.0 GPIO Standard 40-pin GPIO header Video 2x micro-HDMI ports (4K60) Multimedia H.265 (4K60 decode)OpenGL ES 3.1, Vulkan 1.2 SD card microSD Power supply 5 V DC (via USB-C) Keyboard layout US (QWERTY) Dimensions 286 x 122 x 23 mm Included Raspberry Pi 500 (US keyboard layout, QWERTY) Official 27 W Power Supply for Raspberry Pi (EU, white) Official Raspberry Pi Mouse (white) Official Raspberry Pi HDMI Cable (white, 2 m) 32 GB microSD Card with pre-installed Raspberry Pi OS The Official Raspberry Pi Beginner's Guide (5th Edition) Downloads Datasheet

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The Raspberry Pi AI HAT+ 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. Available in models offering 13 or 26 tera-operations per second (TOPS), the AI HAT+ is based on the Hailo-8L and Hailo-8 neural network accelerators. The 13 TOPS model efficiently supports neural networks for tasks like object detection, semantic and instance segmentation, pose estimation, and more. This 26 TOPS variant accommodates larger networks, enables faster processing, and is optimized for running multiple networks simultaneously. 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. Included Raspberry Pi AI HAT+ (26 TOPS) Mounting hardware kit (spacers, screws) 16 mm GPIO stacking header Downloads Datasheet

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Features Suitable for Raspberry Pi + GPIO Extension Board Exquisite appearance DIY operation Specifications Size of GPIO Extension Board: 7.5 x 6 cm (3 x 2.4') Size of Breadboard: 16.5 x 5.5 x 1 cm (6.5 x 2.2 x 0.4') Included 1x GPIO Extension Board 1x Breadboard 1x 40P Pin Connect Line 8x 1K Resistor 8x 10K Resistor 4x LED (yellow) 4x LED (red) 4x Key 10x 25 mm Jumper Wires A 10x 25 mm Jumper Wires B

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Multitasking and multiprocessing have become a very important topic in microcontroller-based systems, namely in complex commercial, domestic, and industrial automation applications. As the complexity of projects grows, more functionalities are demanded from the projects. Such projects require the use of multiple inter-related tasks running on the same system and sharing the available resources, such as the CPU, memory, and input-output ports. As a result of this, the importance of multitasking operations in microcontroller-based applications has grown steadily over the last few years. Many complex automation projects now make use of some form of a multitasking kernel. This book is project-based and its main aim is to teach the basic features of multitasking using the Python 3 programming language on Raspberry Pi. Many fully tested projects are provided in the book using the multitasking modules of Python. Each project is described fully and in detail. Complete program listings are given for each project. Readers should be able to use the projects as they are, or modify them to suit their own needs. The following Python multitasking modules have been described and used in the projects: Fork Thread Threading Subprocess Multiprocessing The book includes simple multitasking projects such as independently controlling multiple LEDs, to more complex multitasking projects such as on/off temperature control, traffic lights control, 2-digit, and 4-digit 7-segment LED event counter, reaction timer, stepper motor control, keypad based projects, car park controller, and many more. The fundamental multitasking concepts such as process synchronization, process communication, and memory sharing techniques have been described in projects concerning event flags, queues, semaphores, values, and so on.

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Raspberry Pi Pico W is a microcontroller board based on the Raspberry Pi RP2040 microcontroller chip. The RP2040 microcontroller chip ('Raspberry Silicon') offers a dual-core ARM Cortex-M0+ processor (133 MHz), 256 KB RAM, 30 GPIO pins, and many other interface options. In addition, there is 2 MB of on-board QSPI flash memory for code and data storage. Raspberry Pi Pico W has been designed to be a low cost yet flexible development platform for RP2040 with a 2.4 GHz wireless interface using an Infineon CYW43439. The wireless interface is connected via SPI to the RP2040. Features of Pico W RP2040 microcontroller with 2 MB of flash memory On-board single-band 2.4 GHz wireless interfaces (802.11n) Micro USB B port for power and data (and for reprogramming the flash) 40 pin 21 x 51 mm 'DIP' style 1 mm thick PCB with 0.1' through-hole pins also with edge castellations Exposes 26 multi-function 3.3 V general purpose I/O (GPIO) 23 GPIO are digital-only, with three also being ADC capable Can be surface mounted as a module 3-pin ARM serial wire debug (SWD) port Simple yet highly flexible power supply architecture Various options for easily powering the unit from micro USB, external supplies or batteries High quality, low cost, high availability Comprehensive SDK, software examples and documentation Features of the RP2040 microcontroller Dual-core cortex M0+ at up to 133 MHz On-chip PLL allows variable core frequency 264 kByte multi-bank high performance SRAM External Quad-SPI Flash with eXecute In Place (XIP) and 16 kByte on-chip cache High performance full-crossbar bus fabric On-board USB1.1 (device or host) 30 multi-function general purpose I/O (four can be used for ADC) 1.8-3.3 V I/O voltage 12-bit 500 ksps analogue to digital converter (ADC) Various digital peripherals 2x UART, 2x I²C, 2x SPI, 16x PWM channels 1x timer with 4 alarms, 1x real time clock 2x programmable I/O (PIO) blocks, 8 state machines in total Flexible, user-programmable high-speed I/O Can emulate interfaces such as SD card and VGA Note: Raspberry Pi Pico W I/O voltage is fixed at 3.3 V. Downloads Datasheet Specifications of 3-pin Debug Connector

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The Raspberry Pi Zero W extends the Raspberry Pi Zero family. The Raspberry Pi Zero W has all the functionality of the original Raspberry Pi Zero, but comes with added connectivity consisting of: 802.11 b/g/n wireless LAN Bluetooth 4.1 Bluetooth Low Energy (BLE) Other Features 1 GHz, single-core CPU 512 MB RAM Mini HDMI and USB On-The-Go ports Micro-USB power HAT-compatible 40-pin header Composite video and reset headers CSI camera connector Downloads Mechanical Drawing Schematics

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The Raspberry Pi Pico 2 is a new microcontroller board from the Raspberry Pi Foundation, based on the RP2350. It features a higher core clock speed, double the on-chip SRAM, double the on-board flash memory, more powerful Arm cores, optional RISC-V cores, new security features, and upgraded interfacing capabilities. The Raspberry Pi Pico 2 offers a significant boost in performance and features while maintaining hardware and software compatibility with earlier members of the Raspberry Pi Pico series. The RP2350 provides a comprehensive security architecture built around Arm TrustZone for Cortex-M. It incorporates signed boot, 8 KB of antifuse OTP for key storage, SHA-256 acceleration, a hardware TRNG, and fast glitch detectors. The unique dual-core, dual-architecture capability of the RP2350 allows users to choose between a pair of industry-standard Arm Cortex-M33 cores and a pair of open-hardware Hazard3 RISC-V cores. Programmable in C/C++ and Python, and supported by detailed documentation, the Raspberry Pi Pico 2 is the ideal microcontroller board for both enthusiasts and professional developers. Specifications CPU Dual Arm Cortex-M33 or dual RISC-V Hazard3 processors @ 150 MHz Memory 520 KB on-chip SRAM; 4 MB on-board QSPI flash Interfaces 26 multi-purpose GPIO pins, including 4 that can be used for AD Peripherals 2x UART 2x SPI controllers 2x I²C controllers 24x PWM channels 1x USB 1.1 controller and PHY, with host and device support 12x PIO state machines Input power 1.8-5.5 V DC Dimensions 21 x 51 mm Downloads Datasheet (Pico 2) Datasheet (RP2350)

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