Adopting opto-mechanical integration solution, machine vision replaces the human eye and deep learning is used for automatic inspection of product appearance defects. It can realise all-round high-precision appearance defects and size detection of materials.
Escape(Functional defects)
%
0
Escape(Non functional defects)
%
<0.3
Overkill
%
<4
Beat CT
pcs/h
6.4
Items
Types of defects are dimensional measurements, bad teeth, shallow teeth, light holes, CD grain scratches, CD grain knife lines, CD grain discolouration, side pinching, incomplete cuts, roughness on the reverse side, bumps on the outer circle, burnt holes, sand in the holes, wire in the holes, and knock-outs on the reverse side.
Advantages
Rapid iterative changeover of different products based on CNC class optical knowledge base and model library.
Effects
Highly accurate inspection of appearance defects and dimensions in all directions of material rotation.
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