The Transit app blog:
This is the holy grail of underground detection: since you can predict where a rider is, you can show them where they are on a map, update their ETA, and tell them when to get off at the right station.
What’s even more wonderful? Our station counting works completely offline. Both of our models (the motion classifier, and the mixer) have been compressed into tiny files that run on your phone, without sending any data to Transit’s servers.
No tracking. No cookies. Your vibration data is your own damn business!
Not only did they make it run offline, on your own device, but they also didn’t
use the term “AI” at all in the post. When so many other companies are rushing
to brand everything slightly more complicated than if-then-else as “AI” this is
refreshing. Kudos to them.