This invention describes a robotic system designed to inspect tunnels for structural defects. A robot platform carries a rotating platform with two parallel mechanical arms, one of which is a snake-shaped arm. These arms perform multi-scale inspections, looking for both surface and internal flaws at the same location. The collected defect information is then fed into a deep neural network, which automatically identifies the type, position, contour, and material characteristics of the defects.
Why it matters: Deep neural network capabilities for real-time defect recognition have advanced significantly since 2020, making the intelligent diagnosis more robust and efficient. Sensor integration and robotic control for complex arms have also improved.
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