The MTA is partnering with Google Public Sector for a pilot program using Google Pixel smartphones to improve subway train detection of defects. From September 2024 to January 2025, the program will allow inspection staff to collect sound data from subway cars, detecting issues like loose components. This collaboration aims to enhance traditional inspection methods by integrating AI-driven analysis with real-time data, ultimately benefiting over 4 million daily commuters by reducing train delays through early issue detection.
Having some tech help could prove useful for inspection staff, who are charged with walking 665 miles of subway tracks to spot potential issues.
The pilot was an experiment conducted by the MTA and Google to determine whether everyday technology could be used as another resource to help keep tracks working and trains running.
The sound and vibration data is sent in real time to cloud-based systems, where artificial intelligence and machine learning algorithms generate predictive insights.
With years on the job, recognizing the sound of a loose joint, bolt, or similar issue comes fairly easily.
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