Texas A&M Researchers Develop CLARKE Disaster AI System

The new system streamlines post-disaster data analysis for emergency responders by processing drone images locally.

Updated on Oct. 28, 2026 in Emergency Response

Isometric editorial illustration of a drone hovering above a simplified building model, representing technical disaster response data processing.
Texas A&M University researchers have developed the CLARKE system, enabling emergency responders to process drone-captured disaster images locally to accelerate relief efforts. AI Illustration. Upload story photo >

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Texas A&M University researchers developed the CLARKE disaster-response system, which allows emergency teams to analyze drone footage without an internet connection. The system was utilized by responders throughout 2024 following the impacts of hurricanes Debby and Helene.

Why it matters

Post-disaster connectivity issues often hinder relief efforts, but CLARKE allows managers to receive actionable data much faster. By generating compact reports, the system enables emergency teams to potentially make critical decisions roughly one day earlier.

The CLARKE system can assess 2,000 homes for damage in approximately seven minutes. Researchers have successfully trained 125 emergency responders on the technology to date.

The players

Texas A&M University

This public research university in College Station, Texas, served as the primary development hub for the CLARKE disaster-response system.

FL-UAS1

This specialized Florida drone team integrated the CLARKE system into its standard operating procedure for emergency disaster assessments.

National Science Foundation

This federal agency provided funding for the AI Institute for Societal Decision Making, which supported the development of the CLARKE system.

The details

The technology works by processing images locally once a drone lands, bypassing the need for bandwidth-heavy file transfers. Instead of uploading massive image files, responders transmit small, efficient summary reports detailing building damage and road conditions.

Timeline

  1. Responders utilized the CLARKE system following hurricanes Debby and Helene in 2024.

  2. Microsoft AI performed satellite imagery analysis after a Myanmar earthquake in March 2025.

Seasonal Patterns

The CLARKE system represents a tangible output from the National Science Foundation's AI Institute for Societal Decision Making. This deployment marks a shift in how emergency management research is being transitioned into standardized field protocols.

Emergency managers can utilize this system to bypass connectivity bottlenecks in disaster zones. The protocol allows for faster damage assessment, which can accelerate the deployment of local resources and aid to affected residents.

The takeaway

The CLARKE system highlights the importance of localized data processing in disaster recovery environments. By reducing the need for high-bandwidth connectivity, local responders can maintain operational agility even when local infrastructure is severely damaged.

Further reading

For more information on advancements in crisis management technology, visit the Emergency Response section.

Source note: This article includes information reported by Semafor.

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Do you trust that using AI for disaster management will result in better outcomes for your community?