Traditional rail defect detection using ultrasonic sensors mounted on train wheels misses abrasions shallower than 4 mm, while camera footage relies on manual monitoring where operators pause videos, flag potential issues, and pass locations to engineers for physical inspection and repair decisions—an inefficient, error-prone process. Centric software addresses these limitations by providing advanced image analysis, automated defect detection, and real-time decision support that processes camera data more accurately than human review, identifies subtle surface issues beyond sensor thresholds, and accelerates the handoff to maintenance teams, helping ensure safer, more reliable rail operations with faster, more precise flaw identification and response.

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