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The MTA is addressing subway delays by implementing a pilot program that utilizes Google Pixel smartphones attached to trains. This initiative, known as TrackInspect, collects audio and sensor data to identify potential track defects before they escalate into significant issues. By analyzing this data in Google's Cloud, the MTA aims to enhance maintenance efficiency and improve service reliability for commuters.
The pilot program has already shown promising results, with the AI system identifying 92% of defect locations found by inspectors. Despite the success, the future of TrackInspect remains uncertain due to budget constraints faced by the MTA. The agency is now exploring partnerships with other technology companies to further develop track improvement solutions.
• TrackInspect uses AI to detect subway track defects early.
• Google's technology identified 92% of defects found by inspectors.
AI is used to analyze data collected from subway trains to predict track issues.
The AI system learns from audio data to improve defect detection accuracy.
Data collected from smartphones is analyzed to identify patterns indicating track defects.
S., implementing AI to enhance service.
Google provides AI technology and cloud services to support the MTA's TrackInspect program.
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