The Bee2FireDetection system have improved the confirmation and response time of fire threats resulting in additional protection to the environment and industrial facilities.

Mário Oliveira
Project Manager
Vale
Determines the probability level of occurrence of wildfires (fire danger level risk index).
Almost real time fire detection using Visual Recognition AI on captured images from surveillance cameras and other data sources.
Estimates the fire propagation over the terrain (perimeter, behavior) and recommends where to act first.
Capable of integrating existing cameras and consequently reducing costs and time of deployment.
Fastest and accurate detection in the market via AI visual recognition, lowering the dependency of human subjectivity, visual acuity and fatigue.
Self-learning capabilities with AI, constantly improving its accuracy as the number of “fire/non-fire” situations occur.
System access is done by an intuitive web platform, on a pc, tablet or mobile phone, supporting comprehensive user management with different authorization levels and log actions.
Multi role management available to fulfil every organization requirement.
Live updates, logs and reports for complete awareness of system status and performance.
The Bee2FireDetection system have improved the confirmation and response time of fire threats resulting in additional protection to the environment and industrial facilities.
Mário Oliveira
Project Manager
Vale