Strip plane earpiece nets AOI equipment

Product Introduction

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)
%

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.