Anyone who rides on the New York City subway can tell you that it has a lot of problems, from strange noise to burning lips on tracks. Now, as the solution for all these days, the Metropolitan transport authority (MTA) tests how AI may improve the process of organizing With the help of six Google Pixel phones.
In this case, the Google Pixel The phones rode in four different subway cars between last September and January. The experiment, conducted in collaboration with Google Public SectorThe accelerometer of the phone, magnetometer and microphone was used to pick up any disturbing noise. This data is sent to cloud-based systems that generate unpredictable views using machine learning algorithms.
Tech, known by Google as Trackinspect, found 92 percent of defect locations found in inspectors. "By the ability to see early flavors in the railroad, saving not only money but also time – for both crew members and riders" New York City Transit President Demetrius Crichlow stated in a Release. "This innovative program – which is the first of its type – uses AI technology to not only make the ride better for customers but makes the inspector tracks safer by providing them with more advanced tools."
Usually, inspectors walk all 665 miles of subway tracks to find any issues, including a sensor full of “train geometry cars" Choosing data three times a year. During the experiment, the inspectors reviewed any locations that are highlighting and confirmed if there is a defect. They can also ask about maintenance and protocols through generative AI system tools.
This article originally appeared at the Engadget at https://www.engadget.com/ai/MTA-Rt Strapped-boogle-Pixels-to-Bubway-cars-to-P-Track-Defects-133046252.html?src=RSS
