Raspberry Pi Sense HAT v2

Raspberry Pi Sense HAT v2

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Official sensor HAT with an 8×8 RGB LED matrix, five-button joystick and sensors including gyroscope — originally made for the Astro Pi mission.

SKU: IOTR-HAT-SENSE-HAT-V2 Categories: Brand:

Product Overview

Designed for the Astro Pi mission to the International Space Station, the Sense HAT adds an 8×8 RGB LED matrix, a five-button joystick and a set of environmental and motion sensors to your Raspberry Pi. A ready-made Python library makes it an excellent tool for teaching programming and physical computing.


Key Features

Feature Benefit
8×8 RGB LED matrix Display text, images and data
Five-button joystick Build games and menus
Gyroscope, accelerometer, magnetometer Measure motion and orientation
Barometer, temperature and humidity sensing Environmental monitoring
Connects via the 40-pin GPIO header No wiring — it sits on top of the Pi
Python library Read sensors in a few lines of code

Applications

Application Area Example Projects
Education Physical computing and data-science lessons
Weather stations Temperature, pressure and humidity logging
Games LED-matrix games with joystick control
Motion Tilt, orientation and compass projects
Space education Astro Pi-style experiments

Benefits

Many sensors, no wiring

Everything is on one board, so projects work first time.

Great for teaching

The Python library keeps code short and readable.

Real science

Sensor data can be logged and graphed like a real experiment.


Specifications

Specification Details
Gyroscope ±245 / 500 / 2000 dps
Accelerometer ±2 / 4 / 8 / 16 g
Magnetometer ±4 / 8 / 12 / 16 gauss
Barometer 260–1260 hPa
Temperature ±2 °C accuracy (0–65 °C)

Why Choose This Product?

It packs a display, joystick and a full set of sensors onto one board — the same hardware used in the Astro Pi missions on the ISS.


Beginner Use Cases

  • Scroll a message on the LED matrix
  • Build a spirit level
  • Log room temperature
  • Make a joystick game

Professional Use Cases

  • Environmental data logging
  • Teaching physical computing
  • Motion-sensing prototypes
  • Astro Pi-style experiments

Please Note

  • Raspberry Pi is not included

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