1 results about "Type distribution" patented technology

This invention discloses a deep learning-based method for detecting concrete structures, comprising the following steps: acquiring images or video frames from the same area to form an observation dataset; establishing a set of defect hypotheses and constructing evidence items; constructing an observation action primitive library; calculating scores and performing quality gating using an observation quality scoring network based on MobileNetV3-Small; obtaining candidate defect instances through coarse detection; generating candidate regions and type distributions and forming multi-view packages; generating observation sequences and determining trigger states under time budget and reshoot count budget constraints; inputting an improved DUSt3R and outputting a structured evidence package upon triggering; fusing the type distribution and evidence package to determine if the criteria are met and outputting the results; updating the observation sequence if the criteria are not met; generating evidence data packages and updating the primitive selection strategy. This invention improves detection reliability, measurement consistency, and result traceability, and is suitable for intelligent detection scenarios of concrete structure defects.