System Architecture
Powered by Google FireSat™
Our system integrates with Google's FireSat constellation, providing high-resolution thermal imaging updated every 20 minutes.
System Flow Diagram
FireSat Network
High-resolution thermal imaging
IoT Sensors
Ground-level environmental monitoring
Weather Data
Real-time atmospheric conditions
FireBench AI
Advanced fire behavior modeling
Real-time Processing
Comprehensive threat analysis
Risk Assessment
ML-powered predictive analytics
FireBench Dataset
High-fidelity simulation data repository
Sprinkler Network
Automated fire suppression system
Early Warning
NotifyLA integration for alerts
Resource Dispatch
Optimized emergency response
Advanced Detection
Leveraging Google's FireSat constellation, our system provides unprecedented early detection capabilities. The satellites can detect fires as small as a classroom within minutes, providing 20-minute update intervals for comprehensive coverage of the Los Angeles area.
AI-Powered Analysis
Using Google's FireBench dataset and AI models, our system accurately predicts fire behavior and spread patterns. This simulation capability enables precise resource allocation and optimized response strategies.
Data-Driven Insights
The FireBench dataset provides extensive historical fire behavior data, enabling our system to learn from past incidents and continuously improve its prediction accuracy. This includes detailed environmental conditions, fire progression patterns, and response effectiveness.
Coordinated Response
When FireSat detects a threat, our system coordinates an immediate multi-layered response: activating smart sprinkler systems, issuing community alerts through NotifyLA, and dispatching emergency resources with AI-optimized routing.