Aging railway infrastructure requires a continuous inspection to reduce chances of failure and cut maintenance cost. However, traditional inspection methods are generally costly, time-consuming, and labor-intensive. This is especially true for project monitoring and encroachment analysis, which require an onsite assessment. There are also significant safety and cost implications associated with inspecting hard-to-reach infrastructure assets. This makes continuous physical monitoring a challenge given the extensive railway spread that often includes regions that are difficult to reach. Moreover, manual inspections may lead to inaccuracy in identifying and mapping the exact location of a defect.
Cyient’s customized Image Assisted Inspection solution ensures safe and efficient inspection operations, reducing the need for corrective maintenance. Powered by our advanced machine learning capabilities and backed by multiple data capture techniques including aerial photography, LiDAR, hyperspectral imaging, and oblique camera, our solution can spot, identify, and accurately locate defects across the rail infrastructure.