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As you know, in many parts of the world in recent months, including our country with forest fires that brought life to a standstillwe met. After these forest fires, which damaged trees, dozens of settlements, animals and even people, homeowners were very concerned about the integrity of the homes they left behind after escaping the fire.

Researchers from Stanford University have developed an artificial intelligence that can detect buildings damaged by forest fires by providing a solution to this problem. Thanks to this technology, instead of going door-to-door to detect damage, people with bird’s eye cameras to determine which house was damaged or not by the fire. will be able to detect it.

The accuracy rate of the machine is 92%

The damage assessment method used to date consisted of people visiting the houses one by one. Automate the process and immediately after the fire directing both search and rescue teams quickly and the name of the researcher Marios Galanis, who stated that they wanted to satisfy the curiosity of the hosts, stated that they named this system they developed as DamageMap.

This technology, developed by scientists and graduate students from Stanford University and California Polytechnic State University, instead of comparing before and after photos, sends them to the camera. on how post-fire images can be they taught some information. “We don’t need previous photos to see if a house has been damaged by a fire, we’ve taught artificial intelligence to work that way”

Using the expressions , the researchers stated that the detection accuracy increased to 92% thanks to aerial, satellite and drone images.


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Michael Lewis

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