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How to use Raspberry Pi Sense HAT

The Astro Pi project saw experiments written by school children running in a real environment raspberry pie. Until you hear about those Raspberry Pi International Space Stations in orbit above the earth, this doesn’t seem to be exciting.

Literally, launched in December 2015 Through the Principia mission, Astro Pi started with British astronaut Sir Tim Peake carrying two Raspberry Pi B+, Pi camera and Sense HAT add-on board, packaged in an aluminum chassis, designed to manage the heat from the Raspberry Pi to the International Space Station. Two Astro Pi computers (affectionately named Izzy and Ed) can measure temperature, humidity, air pressure, direction, and acceleration, thanks to the large number of on-board sensors in the Sense HAT. These two Raspberry Pis have been used in many experiments since 2015, but the B+ model inside has become a bit longer on the teeth.

(Image source: techy’s hardware)

Fast forward to 2021, the International Space Station is being upgraded Astro Pi Mark II. Two Raspberry Pi 4 8​​GB boards are being sent to replace the old model. Inside the familiar 6063 grade aluminum are Raspberry Pi 4, Sense HAT and two additional additional components. Official Raspberry Pi HQ camera and Google Coral machine learning accelerator. On its own, Raspberry Pi 4 is a powerful machine, but using the Google Coral machine learning project will get additional performance improvements, including real-time image processing.

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