Case study

Smart Fire Fighting System (SFFS)

A fire-fighting robot trained with AI to detect fire at its earliest stage, act on it, and send real-time alerts about the situation to the user’s mobile phone.

Smart Fire Fighting System (SFFS) — screenshot

The problem

Fires cause the most damage in the first minutes, before anyone notices or reaches them. Conventional smoke detectors raise an alarm but can’t see where the fire is, judge how serious it is, or do anything about it.

What we built

  • Computer-vision models — YOLOv11, ResNet-50 and SVM — detect fire from the robot’s camera feed.
  • The robot runs on ROS and acts on what it detects to contain the fire early.
  • A Flutter mobile app, backed by Flask and Supabase, sends the owner real-time alerts and live status of the situation.

Built with

YOLOv11SVMResNet-50ROSFlutter

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