The invention discloses an
industrial design appearance defect intelligent detection
system based on
computer vision, and relates to the technical field of
computer vision and industrial intelligent detection.During operation of the
system, multi-angle space information and multispectral
imaging data of the surface of a to-be-detected product are obtained through a preset
structured light source module and an array type industrial camera cluster; the method comprises the following steps: reconstructing high-dimensional visual feature distribution on the surface of a product, executing
noise suppression and fusion, generating an enhanced feature map with a high
signal-to-
noise ratio, receiving the enhanced feature map, identifying defects by utilizing an attention mechanism, generating defect candidate areas and a preliminary classification probability, reducing the calculated amount through knowledge
distillation, and realizing few-sample migration; and deploying the optimized detection model to a high-parallel
hardware acceleration platform, resolving a detection result in real time, and sending a sorting instruction, an
alarm signal or a process parameter correction instruction to a production execution
system according to a preset quality judgment threshold.