Adopting opto-electromechanical integration solutions, machine vision replaces human eyes, and deep learning is used for automatic inspection of product appearance defects, which can realise appearance inspection, size inspection and material sorting.
Escape(Functional defects)
%
0
Escape(Non functional defects)
%
<0.5
Overkill
%
<5
Capacity UPH
pcs/h
5500
UPH(max)
pcs/h
5800
Testing items
More than 30 items such as dark spots, dirt, foreign objects, hairline, cracks, creases, scratches, bumped corners, dents and bulges.
Advantages
Compatible with a wide range of models with different depths and sizes for inspection. Algorithm integration, mechanism modularity, process standardisation, to achieve rapid debugging and fast on-line in the field. Replacement of carriers for rapid model change; vision equipment performance and detection algorithms compatible with all models.
Effects
With appearance detection, size detection, mixing anti-dulling, material sorting. Detection of the box for the three-dimensional structure, detection of high school and low part of the plane (height difference of 10mm-20mm) of the surface appearance defects, some of the dimensions and the appearance of defects in the inner wall of the material.