FireScout is an AI-driven wildfire detection technology that provides rapid alerts about potential fire threats, often detecting them in as little as one minute. It utilizes advanced machine learning algorithms that analyze various data inputs such as satellite imagery, weather conditions, terrain maps, and sensor data to identify wildfire signals in real-time. The system is operational across the western United States and plans to extend nationwide coverage by 2025. FireScout is designed for dynamic monitoring, allowing first responders to efficiently manage wildfire incidents and protect utility infrastructure.
• real-time wildfire detection
• dynamic monitoring dashboard
• operates across vast regions
• utilizes over 300 cameras
• alerts authorities in as little as 1 minute
The AI utilizes advanced machine learning models trained on data from past wildfires, including satellite imagery, weather data, terrain maps, and sensor inputs.
The AI can detect newly ignited wildfires and send alerts in as little as 5-10 minutes after ignition.
The system is operational across the western United States, with plans for nationwide coverage by 2025.
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A federated AI framework that integrates decentralized data sources for AI development.
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