The Metropolitan Transportation Authority (MTA) is leveraging artificial intelligence in a novel experiment to enhance subway maintenance. By equipping six Google Pixel phones to four subway cars, the MTA collected data on track conditions using the phones' sensors. The AI technology, known as TrackInspect, identified 92% of defect locations found by human inspectors, which is expected to improve safety and efficiency. This initiative aims to streamline the inspection process, ultimately benefiting both subway passengers and maintenance crews.
"By being able to detect early defects in the rails, it saves not just money but also time - for both crew members and riders" - Demetrius Crichlow.
"This innovative program - which is the first of its kind - uses AI technology to not only make the ride smoother for customers but also make track inspector's jobs safer" - Demetrius Crichlow.
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