Scientists at PNIPU have developed a system for fully automating the diagnosis of railway bridges for the first time - CNews

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This article covers a new automated diagnostic system for railway bridges developed by researchers at PNIPU. The system combines data from sensors, GPS, video, and analytics to assess bridge conditions and detect defects more accurately. It aims to reduce manual inspection work and improve maintenance decisions for railway infrastructure. The story focuses on applied software and analytics for transportation infrastructure rather than a corporate business event.

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