Early detection of fires is critical to contain damage and prevent total devastation in forest areas.
The Bee2Fire Detection solution works 24×7 as an automatic fire control and detection system. Bee2Fire covers distances of up to 15km and is a key tool to help decision-making processes.
Bee2Fire Detection uses Artificial Intelligence to detect fires, through the processing of algorithms developed by ITGest based on information transmitted by optical, thermal and spectrometry cameras.
With a rate of more than 95% success in ignition failure, our solution has been recognized and awarded by IBM as no. #1 worldwide, the result of the effective application of IBM Watson Artificial Intelligence.
Early fire surveillance and detection
Entries from multiple sources
Decision support system
FIRE RISK FORECAST
Determines the level of probability of occurrence of forest fires (risk index of fire danger level).
Near real-time fire detection using Visual Recognition AI on images taken from surveillance cameras and other data sources.
Estimates the spread of fire over the terrain (perimeter, behavior) and recommends where to act first.
Able to integrate existing chambers and, consequently, reduce costs and implementation time.
The fastest and most accurate detection on the market via visual Recognition of AI, reducing dependence on human subjectivity, visual acuity and fatigue.
Self-learning capabilities with AI, constantly improving its accuracy as the occurrence of "fire/not fire" situations increases.
Access to the System is done through an intuitive web platform, accessible through the computer, tablet or smartphone, which supports the management of identities with different levels of authorization and actions to be performed.
Management of users with different profiles to meet the requirements of each organization.
Live updates, logs, and reports for a complete awareness of system status and performance.