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Home > Impact > Funded Projects > Automated Wildfire Monitoring – AI Enabled Drone Surveillance
The project proposed to develop and test a long-range drone surveillance platform with onboard computer vision and automated autopilot responses, which will accelerate and improve detection performance in a manner that integrates with and supports existing human-based workflows. The drone surveillance platform will analyze video streams in real time using onboard AI that automatically tasks the drone to loiter and gather additional information about potential alarms. By providing in real time rapid, accurate assessments of fire spread, hotspots, and potential threats, the drone platform will enable quicker and more effective decision-making and more efficient use of resources.