A tool created at Texas A&M University is poised to revolutionize the way emergency responders evaluate damage following disasters. CLARKE (Computer vision and Learning for Analysis of Roads and Key Edifices) utilizes artificial intelligence and drone imagery to assess damage to buildings, roads, and other infrastructure in just a matter of minutes.
CLARKE, developed by a team of researchers led by Tom Manzini, a Ph.D. candidate in computer science and engineering, and Dr. Robin Murphy, a trailblazer in the field of rescue robotics, has already proven its effectiveness during the 2024 hurricane season. It was deployed in Florida and Pennsylvania after Hurricanes Debby and Helene, showcasing its value in real-world scenarios.
The Power of Machine Learning
The name CLARKE pays homage to science fiction writer Arthur C. Clarke’s famous quote about advanced technology resembling magic. While the system’s machine-learning capabilities have been dubbed “magic” by drone pilots, the science behind it is firmly rooted in cutting-edge computer vision and machine-learning algorithms. CLARKE can analyze drone footage, map out damage assessments, and generate detailed reports within minutes, providing crucial information to first responders.
CLARKE has been trained on drone images from over 21,000 houses across 10 major disasters, including Hurricanes Harvey and Ian. This extensive dataset enables the system to recognize various damage patterns, making it adaptable to different types of disasters such as hurricanes, floods, and wildfires.
Empowering First Responders
CLARKE not only identifies damaged areas but also offers practical solutions for navigating around them. This feature is particularly valuable in rural or inaccessible regions where traditional damage assessments can take days. By swiftly providing comprehensive damage reports, CLARKE significantly accelerates response times, enabling officials to take immediate action.
The success of CLARKE hinges on the training and expertise of the individuals using it. Recently, over 60 emergency responders from various agencies and private companies gathered for a training session in Tallahassee, Florida, highlighting the growing interest in AI-driven disaster response tools. The system’s capabilities were praised by David Merrick, program director of the Emergency Management and Homeland Security Program at Florida State University, emphasizing its potential to enhance the efficiency and effectiveness of damage assessments.
Continued Development and Future Prospects
Since its inception in 2022, CLARKE has undergone continuous refinement based on real-world feedback. The Texas A&M team participated in a tabletop exercise in April 2025 to gather input from responders, leading to the organization of training sessions for emergency personnel. Dr. Robin Murphy envisions a promising future for CLARKE, not only as a practical tool but also as a platform for further research and innovation in the field of disaster response.
