Highway Departments Find Bats Roosting Under Bridges With The Help Of Artificial Intelligence
Tianshu Li, University of Virginia
The Research Brief is a short take about interesting academic work.
The big idea
Photographs and computer vision techniques using artificial intelligence are able to detect the presence of bats on bridges automatically with over 90% accuracy, according to our new study.
More than 40 species of bats are found in the U.S., and many of them are endangered or threatened. Bats often nest by the hundreds or thousands underneath bridges, so transportation departments are required to survey for them before conducting repair or replacement projects.
I conducted the recently published study with colleagues at the University of Virginia’s MOB Lab in collaboration with the Virginia Transportation Research Council.
Bridge surveys are important for protecting threa...