MTA strapped Google Pixels to subway cars to spot track defects

Everyone who browsing the New York City metro can say that there are many problems with strange noises on burning litter on the roads. Now, as it is solving everything these days, Metropolitan Transport Organization (MTA) tests how AI can improve the repair process With the help of six Google Pixel phone.

In this case, Google Pixel The phones, came to four different subway cars between last September and January. Experience in partnership Google Public SectorThey used the phone’s accelerometers, magnetometers and microphones to take on any disturbing noise. This information was sent to cloud-based systems that create predictive concepts using machine learning algorithms.

Tech, known by Google, as TrueINSPECT, found 92 percent of the defect of inspectors. “Without the iron rails, it is not only money, but also the time – both crew members, but also for riders” New York City Transit President Demetrius Crichlow release. “This innovative program is the first type – it is more smoother to make AI technology smoother only for customers, but also makes the track inspector’s work safer by supplying them with more advanced tools.”

Typically, along with the Metro-Laden “train geometry cars” to find any problems during annual interpretation, all the metro roads are walking 665 miles.