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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 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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Build robust, intelligent machines that combine Raspberry Pi computing power with LEGO components. The Raspberry Pi Build HAT provides four connectors for LEGO Technic motors and sensors from the SPIKE Portfolio. The available sensors include a distance sensor, a color sensor, and a versatile force sensor. The angular motors come in a range of sizes and include integrated encoders that can be queried to find their position. The Build HAT fits all Raspberry Pi computers with a 40-pin GPIO header, including – with the addition of a ribbon cable or other extension device — Raspberry Pi 400. Connected LEGO Technic devices can easily be controlled in Python, alongside standard Raspberry Pi accessories such as a camera module. Features Controls up to 4 motors and sensors Powers the Raspberry Pi (when used with a suitable external PSU) Easy to use from Python on the Raspberry Pi

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The Raspberry Pi M.2 HAT+ enables you to connect M.2 peripherals such as NVMe drives and AI accelerators to Raspberry Pi 5’s PCIe 2.0 interface, supporting fast (up to 500 MB/s) data transfer to and from NVMe drives and other PCIe accessories. Raspberry Pi M.2 HAT+ supports devices that have the M.2 M key edge connector, in the 2230 and 2242 form factors. It is capable of supplying up to 3 A to connected M.2 devices. Features Supports single-lane PCIe 2.0 interface (500 MB/s peak transfer rate) Supports devices that use the M.2 M key edge connector Supports devices with the 2230 or 2242 form factor Capable of supplying up to 3 A to connected M.2 devices Power and activity LEDs Included 1x Raspberry Pi 5 M.2 HAT+ 1x Ribbon cable 1x GPIO stacking header 4x Spacers 8x Screws Downloads Datasheet Schematics Assembly instructions

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Unlock your inner Mozart with Piano HAT, a mini musical companion for your Raspberry Pi! Piano HAT is inspired by Zachary Igielman's PiPiano and made with his blessing. It has taken his fabulous idea for a dinky piano add-on for the Raspberry Pi, made it touch-sensitive and added barrels of our trademark Pimoroni polish. Play music in Python, control software synths on your Pi, and take control of hardware synthesizers! Features 16 capacitive touch pads (link each to their own Python function!) 13 piano keys (a full octave) Octave up/down buttons Instrument cycle button (great for use with synthesizers) 16 bright white LEDs (let them light automagically, or take control with Python) 2x Microchip CAP1188 capacitive touch driver chips Use it to control software or hardware synths over MIDI Compatible with all 40-pin header Raspberry Pi models Comes fully assembled Downloads Python library Pinout

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This is an I/O expansion kit designed for Raspberry Pi, which provides 5 sets of 2x20 pinheaders, that means a handy way to 'stack' multi different HATs together, and use them as a specific combination / project. Features Standard Raspberry Pi connectivity, directly pluggable OR through ribbon cable 5 sets of 2x20 pinheaders, connect multi HATs together USB external power port, provides enough power supply for multi HATs Clear and descriptive pin labels for easy use Reserved jumper pads on the bottom side, pin connections are changeable by soldering, to avoid pin conflicts Note: make sure there are no any pin conflicts between the HATs you want to use together before connecting. Specifications Dimensions: 183 × 65 mm Mounting hole size: 3 mm Included 1x Stack HAT 1x Ribbon cable 40-Pin 1x 2x20 male pinheader 1x RPi screws pack (4pcs) x1

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NetPi is the perfect solution for your Raspberry Pi Pico's connectivity needs. It's an Ethernet HAT that enables your Pico to easily connect to the internet. With support for various internet protocols such as TCP, UDP, WOL over UDP, ICMP, IPv4, and more, NetPi can create IoT devices, robots, home automation systems, and industrial control systems. It has four independent SOCKETs that can be used simultaneously, and it also supports SOCKET-less commands like ARP-Request and PING-Request. The Ethernet HAT is equipped with 10Base-T/100Base-TX Ethernet PHY and auto-negotiation for a full and half duplex with 10 and 100-based connections. NetPi is ideal for various applications. With NetPi, you can now support hardwired internet protocols like TCP, UDP, ICMP, and more. Enjoy four independent sockets for simultaneous connections and perform socket-less commands like ARP-Request and PING-Request. NetPi also supports Ethernet power down mode and wake on LAN over UDP for energy-saving. NetPi is equipped with a 10Base-T/100Base-TX Ethernet PHY and supports auto-negotiation for a full and half duplex with 10 and 100-based connections. The device features network indicator LEDs for full/half duplex, link, 10/100 speed, and active status. Features Compatible with Raspberry Pi Pico (W) Built-in RJ45 with Transformer: Ethernet Port Support 4 independent SOCKETs simultaneously Support Hardwired TCP/IP Protocols: TCP, UDP, ICMP, IPv4, ARP, IGMP, PPPoE Ethernet power down mode and Wake on LAN over UDP for energy-saving 10Base-T/100Base-TX Ethernet PHY with auto-negotiation for full and half duplex with 10 and 100-based connections Network indicator LEDs for full/half duplex, link, 10/100 speed, and active status RP2040 pins breakout with female pin header for other shield and peripheral interfacing 1.3' TFT LCD (240 x 240) and a 5-way joystick for user experience SPI, I²C, UART interfacing Dimensions: 74.54 x 21.00 mm Applications Internet of Things (IoT) devices Industrial automation and control systems Home automation and smart home systems Remote monitoring and data logging systems Robotics and autonomous systems Networked sensor systems Building automation and energy management systems Security and access control systems Downloads GitHub

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Use your Raspberry Pi with LTE Cat-4 4G/3G/2G Communication & GNSS Positioning, for remote data transmission/phone/SMS, suitable for remote area monitoring/alarming. This 4G hat is based on the Maduino Zero 4G LTE, but without any controller. It needs to work with Raspberry Pi (2x20 connector and USB). The Raspberry communicate with this HAT with simple AT commands (via the TX/RX Pins in the 2X20 connector) for simple controls, such as SMS/Phone/GNSS; with the USB connecting and proper Linux driver installed, the 4G hat act as a 4G network adapter, that can access to the Internet and transmit data with 4G protocol. Compares to normal USB 4G dongle, this Raspberry Pi 4G Hat has the following advantages: Onboard Audio codec, that you can have a call directly with your RPI, or auto broadcasting with a loudspeaker; Hardware UART communication, hardware controlling of Power(by 2s pulse of PI GPIO or POWERKEY button), hardware controlling of flight mode; Dual LTE 4G antenna, plus GPS antenna Features LTE Cat-4, with uplink rate 50 Mbps and downlink rate 150 Mbps GNSS Positioning Audio Driver NAU8810 Supports dial-up, phone, SMS, TCP, UDP, DTMF, HTTP, FTP, and so on Supports GPS, BeiDou, Glonass, LBS base station positioning SIM card slot, supports 1.8V/3V SIM card Onboard audio jack and audio decoder for making a telephone call 2x LED indicators, easy to monitor the working status Supports SIM application toolkit: SAT Class 3, GSM 11.14 Release 99, USAT Included 1x 4G LTE Hat For Raspberry Pi 1x GPS antenna 2x 4G LTE antenna 2x Standoff Downloads GitHub

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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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This LR1302 module is a new generation LoRaWAN gateway module. It adopts a mini-PCIe form factor design and features low power consumption and high performance. Based on Semtech Network's SX1302 LoRaWA baseband chip, the LR1302 gateway module provides gateway products with potential capacity for long-distance wireless transmission. Compared to the previous SX1301 and SX1308 LoRa chips, the SX1302 chip has higher sensitivity, lower power consumption and lower operating temperature. It supports 8-channel data transmission, improves communication efficiency and capacity, and supports the connection and data transmission of more devices. It reserves two antenna interfaces, one for transmitting and receiving LoRa signals and one U.FL (IPEX) interface for independent transmission. It also has a metal shield to protect against external interference and provide a reliable communications environment. Designed specifically for the IoT space, the LR1302 is suitable for a variety of IoT applications. Whether used in smart cities, agriculture, industrial automation or other fields, the LR1302 module can provide reliable connections and efficient data transmission. Features Uses Semtech SX1302 baseband LoRa chip with extremely low power consumptionand excellent performance Mini-PCIe form factor and compact design make it easier to integrate into various gateway devices, suitable for space-constrained application scenarios, and provide flexible deployment options Support 8-channeldata transmission, provide more efficient communication efficiency and capacity Ultra-low operating temperatureeliminates the need for additional cooling and reduces the size of the LoRaWAN gateway Uses SX1250 TX/RX front end with sensitivity down to -139 dBm@SF12; TX power up to 26 dBm @3.3 V Specifications Frequency 863-870 MHz (EU868) Chipset Semtech SX1302 Chip Sensitivity -125 dBm @125K/SF7-139 dBm @125K/SF12 TX Power 26 dBm (with 3.3 V power supply) Bandwidth 125/250/500 kHz Channel 8 channel LEDs Power: GreenConfig: RedTX: GreenRX: Blue Form Factor Mini PCIe, 52-pin Golden Finger Power Consumption (SPI version) Standby: 7.5 mATX maximum power: 415 mARX: 40 mA Power Consumption (USB version) Standby: 20 mATX maximum power: 425 mARX: 53 mA LBT(Listen Before Talk) Support Antenna Connector U.FL Operating Temperature -40 to 85°C Dimensions (W x L) 30 x 50.95 mm Note LR1302 LoRaWAN Gateway Module is not included. Downloads Wiki SX1302 Datasheet Schematic Diagram

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Ready to explore the world around you? By attaching the Sense HAT to your Raspberry Pi, you can quickly and easily develop a variety of creative applications, useful experiments, and exciting games. The Sense HAT contains several helpful environmental sensors: temperature, humidity, pressure, accelerometer, magnetometer, and gyroscope. Additionally, an 8x8 LED matrix is provided with RGB LEDs, which can be used to display multi-color scrolling or fixed information, such as the sensor data. Use the small onboard joystick for games or applications that require user input. In Innovate with Sense HAT for Raspberry Pi, Dr. Dogan Ibrahim explains how to use the Sense HAT in Raspberry Pi Zero W-based projects. Using simple terms, he details how to incorporate the Sense HAT board in interesting visual and sensor-based projects. You can complete all the projects with other Raspberry Pi models without any modifications. Exploring with Sense HAT for Raspberry Pi includes projects featuring external hardware components in addition to the Sense HAT board. You will learn to connect the Sense HAT board to the Raspberry Pi using jumper wires so that some of the GPIO ports are free to be interfaced to external components, such as to buzzers, relays, LEDs, LCDs, motors, and other sensors. The book includes full program listings and detailed project descriptions. Complete circuit diagrams of the projects using external components are given where necessary. All the projects were developed using the latest version of the Python 3 programming language. You can easily download projects from the book’s web page. Let’s start exploring with Sense HAT.

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This 48 W (8 VDC, 6 A) power supply is designed for the use with the Raspberry Pi Build HAT. Input: 110-240 VAC Output: 8 VDC, 6 A Cable: 1.5 m, 16 awg

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