MTA Utilizes Google Pixel Phones for Subway Track Defect Detection

The Metropolitan Transportation Authority (MTA) has embarked on an innovative experiment using Google Pixel phones to detect defects in subway tracks, aiming to enhance the repair process with AI technology.

In a move that sounds straight out of a sci-fi novel, the Metropolitan Transportation Authority (MTA) has started sticking Google Pixel phones onto subway cars. Why? To sniff out track defects before they become big headaches. Teaming up with Google Public Sector, they’re using the phones’ built-in gadgets—like accelerometers and microphones—to catch weird noises and shakes that scream ‘something’s wrong here.’

From September to January, six Pixel phones got the ride of their lives on four subway cars, gathering heaps of data. Then, with some cloud magic and machine learning (dubbed TrackInspect by Google), they spotted 92% of the problem spots human inspectors did. Not too shabby for a bunch of phones, huh?

Demetrius Crichlow, the big boss at New York City Transit, couldn’t hide his excitement. ‘Catching rail defects early is a game-changer,’ he said. ‘It saves cash, cuts down on crew hours, and makes rides smoother for everyone. Plus, it’s the first time AI’s been used like this, giving our inspectors superhero-level tools.’

Usually, inspectors have to trek all 665 miles of subway tracks on foot, with a little help from sensor-packed ‘train geometry cars’ that roll by three times a year. But during this trial, the AI’s picks were double-checked by humans, who found the defects right where the system said they’d be. And get this—inspectors even chatted with the AI to get tips on fixes and rules, making their jobs a bit easier. Talk about working smarter, not harder.