Anyone who rode the New York metro station can tell you that he has many problems, from strange noise to flammable debris on the tracks. Now, like a solution for everything these days, Capital transport body (MTA) checks how AI can improve the repair process Using six Google Pixel phones.
In this case Google Pixel Phones rode on four different metro cars in the period from September and January. Experiment conducted in partnership with Google public sectorI used accelerometers of the phone, magnetometers and microphones to get rid of any alarming noise. These data were sent to cloud systems that generated forecast understanding using machine learning algorithms.
The technology, the famous Google as TrackinSpect, discovered 92 percent of the defects that inspectors are located. “The ability to detect early defects in the rails, this saves not only money, but also time – both for crew members and racers” President of New York Demetrius Krley said in releaseThe field “This innovative program, which is the first of its kind, uses artificial intelligence technology in order not only to make a more smooth ride for customers, but also to ensure the safety of the track inspector, equipping them with more advanced tools.”
As a rule, inspectors pass all 665 miles of the metro tracks to find any problems, along with the sensors of “train geometry cars”, collecting data three times a year. During the experiment, inspectors checked any places allocated and confirmed whether there was a defect. They can also ask questions about maintenance and protocols through the Generative AI system.