Case Study: State of São Paulo achieves ultra-fast wildfire detection with umgrauemeio

State of São Paulo detects wildfires in 3 seconds with umgrauemeio

The State of São Paulo faced a critical challenge as climate change intensified dry seasons and increased the risk of devastating wildfires. Their reactive approach, where fires were only spotted after reaching large proportions, created a dangerous operational bottleneck. To shift to a predictive and immediate model, the state partnered with vendor umgrauemeio and implemented its PANTERA solution.

umgrauemeio's solution established a technological siege using a network of cameras and AI to identify smoke in as little as three seconds. The system uses 3D relief mapping and real-time weather data to anticipate fire behavior and automatically dispatches brigades to the exact location. This allows the state to neutralize fire outbreaks in their earliest stages, effectively cutting them off at the root.

State of São Paulo