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The New York City Subway Is Using Google Pixels to Listen for Track Defects
New York City's transit authority is one of a few US systems experimenting with using sensors and AI to improve track inspections.
The phones were part of a brief experiment by New York City’s Metropolitan Transportation Authority and Google into whether cheap, mostly off-the-shelf technology could supplement the agency’s track inspection work. Today, inspections are carried out by human inspectors, who together walk all 665 miles of New York City’s subway tracks, eyes peeled for problems like broken rails, busted signals, and water damage. Thrice-annual rides by specialized, sensor-laden “train geometry cars,” also capture and upload more sophisticated data on the status of the city’s rail infrastructure.
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