Adopting opto-mechanical integration solutions, machine vision replaces the human eye, and deep learning is used for product appearance inspection, size inspection, material sorting, and data synchronisation to IMES.
Escape(Functional defects)
%
0
Escape(Non functional defects)
%
<0.5
Overkill
%
<10
UPH
pcs/h
3600
UPH(max)
pcs/h
4000
Items
Surface appearance defects and structural dimensions of the four surfaces of the mobile phone earpiece net, the main test items are scratches, pressure wounds, dirt, over-grinding, flat grinding, hairy, net blocking, net breaks, net deformation, the size of the edge, chamfer big/small.
Advantages
2D/3D Compatible with a variety of material earpiece net model inspection. With appearance inspection, size inspection, material sorting, data synchronisation to IMES.
Effects
Algorithm integration, mechanism modularisation, process standardisation, to achieve rapid debugging and go-live in the field.