Recognizing firefighters’ actions
from sensory data

84% accuracy in detecting firefighter activities

Meet our client

INDUSTRYPublic sector

CUSTOMERUniversity of Warsaw
& Main School of Fire Service

How we did it

Firefighters operate in harsh conditions and life-threatening situations. Getting real-time information about the actions a particular firefighter has performed is crucial in providing better support in their duties and managing emergencies. designed a model that combines data from sensors in the firefighters’ suits to monitor their position and maneuvers. This makes it easier to spot any alarming event, like a sudden fall or loss of consciousness and to more effectively control rescue operations.

The solution took first place in a data science competition.

Further reading

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  •, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • Sp. z o.o.
  • al. Jerozolimskie 44
  • 00-024 Warsaw
  • Poland
  • ul. Łęczycka 59
  • 85-737 Bydgoszcz
  • Poland
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