Google Pixels Detect Subway Track Defects
2025-02-27
The New York City MTA partnered with Google on a four-month experiment using six Pixel phones equipped with sensors to detect track defects on the A train line. The phones collected audio, vibration, and location data to train an AI model predicting defects. The experiment identified 92% of defect locations later found by human inspectors. This technology, called TrackInspect, aims to improve efficiency in track maintenance, reducing delays and improving the passenger experience. A full pilot program is planned to develop an automated system for identifying and fixing track issues.
Tech
Track Inspection