Inspiration
The most of our team members are biomedical engineers
What it does
Currently the product senses the temperature and moisture under the jacket, allowing it adjust its properties based on the wearer's current needs. The hall sensor lets the wearer send help signals using Morse code, when all other means of communication fail. Additionally, we managed to show these data on the screen
How we built it
The sensors were configured so that the information were saved to a log file. This data is then transferred to the connected from a local mqtt server.
Challenges we ran into
Our prior experiences were limited to Arduino. Working with raspberry pi was a novelty for everyone on our team.
Accomplishments that we're proud of
Dynamic data acquisition and real-time plotting.
What we learned
We obtain more knowledge about various sensor configuration and dynamic data collection using micropython. We also learned about mqtt server configuration and continuous server client data transfer
What's next for SafeGård Jacket
The future areas of development include a dynamic fall and avalanche detection, smart adaptation to weather conditions, and local weather prediction based on atmospheric pressure variations. To achieve these goals, an ML model would be implemented to analyse the obtained signal from magnetic sensors. Thank to these we will manage to classify concrete Morse code letters and obtain full phrases in real-time
Built With
- i2c
- io.adafruit.com
- micropython
- mqtt
- raspberry-pi-pico-wh
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