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    New AI Technology Revolutionizes Building Health Monitoring

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    A representation of the AI-supported framework developed by UCF researchers to better understand how structural damages may change over time.

    Researchers at the University of Central Florida have developed cutting-edge AI technology to monitor the health of buildings and bridges. This innovative technology includes computer vision for visual inspection, generative adversarial networks for predictive analysis, immersive visualization using virtual and augmented reality, and collective intelligence framework for speeding up inspection processes. The goal is to provide engineers with tools to monitor buildings and bridges in a way similar to how doctors monitor patients, using MRI or X-ray to understand structural changes over time. The technology aims to address the need for more innovative monitoring and repair technologies for aging infrastructure in the U.S. and to improve resilience in the face of extreme events like hurricanes, floods, and earthquakes. This groundbreaking AI technology has the potential to revolutionize the inspection and monitoring of critical infrastructure, making it more resilient and safer for communities.

    Read the full story: WLRN

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