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AI Tool Uses Aerial Imaging to Scan Structures for Wildfire Damage

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The DamageMap application identifies buildings as damaged in red or not damaged in green. Researchers developed the platform to provide immediate information about structural damage following wildfires. Courtesy of Galanis et al. A system developed by researchers from Stanford University and California Polytechnic State University (Cal Poly) called DamageMap uses aerial photography and artificial intelligence to assess wildfire damage to buildings. Rather than comparing before and after photos, the system is able to use machine learning to consider only post-fire images. The current...Read full article

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    Published: September 2021
    Glossary
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    Extreme EnvironmentAIResearch & TechnologyImagingwildfireCalifornia wildfiressurveyingmachine visioncamerasAmericasdamage assessmentimage classificationimaging natural disastersStanfordCal Polylocation recognition systemThe News Wire

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