Application of Large Vision Model for Defect Detection in Orbital Tunnel
This article addresses the issues of low efficiency and easy omission in manual inspection during the inspection process of rail transit tunnels.It proposes a rail transit visual model developed based on the V-MoE visual model,which uses rail transit inspection vehicles to collect information on the inner walls of tunnels and combines with relevant inspection standards for rail transit tunnels.Compared with traditional machine vision,this method significantly improves the recognition type and accuracy in detecting potential risks and defects on tunnel walls,effectively improving recognition accuracy.It is an important breakthrough in the new field of visual modeling.
large vision modelV-MoErail transittunnel wall defect detection
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