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

We want to hear from you

    Fill out this quick form and we will contact you shortly

    You can modify your privacy settings and unsubscribe from our lists at any time (see our privacy policy).

    This site is protected by reCAPTCHA and the Google privacy policy and terms of service apply.

    Find us
    •, 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
    Let us know how we can help