The present application relates to the field of
computer vision and industrial detection technology, and particularly relates to a dynamic collaborative rendering industrial surface defect detection method,
system, device and medium, the method comprising the following steps: acquiring multi-view
point cloud data and high-resolution
color image sequences of a defect-free standard part; constructing a high-precision global dense
point cloud under an absolute world coordinate
system; generating a
Mesh model and a 3DGS model under the world coordinate
system; online collecting a two-dimensional image of a workpiece to be detected, performing two-dimensional anomaly preliminary screening based on the two-dimensional image, locking a suspected defect area, and extracting a two-dimensional bounding box of the suspected defect area; calculating a global defect probability, dynamically scheduling the
Mesh model and / or the 3DGS model based on the global defect probability to render the image to be detected collected in the current frame, and outputting a
hybrid rendering
reference image; performing consistency checking on the
hybrid rendering
reference image, and obtaining a final detection result. The method reduces the calculation cost and improves the defect detection accuracy.