Wireless charger rear cover AOI and assembly equipment

Product Introduction

Adopting an optical-mechanical integration solution, machine vision replaces the human eye and deep learning is used to automatically detect defects in product appearance, which can achieve automatic loading of qualified products and automatic sorting of NG products.

Dimensions
I*W*H(mm)

3000*1400*1800

Accuracy
(mm)

0.005

CT
(s/pcs)

UPH
(pcs/H)

1.2k

Escape
(%)

<0.5

Overkill
(%)

Items

Defect detection: Dirt, scratches, pockmarks, knife lines, grinding marks, cutting lines, hole burrs, hole steps, color abnormal, white spots, large and small edges, white lines, etc.
Advantages

The rotating flying racket of the workpiece enables high-speed and accurate detection of appearance defects, with over 40 types of defects. Automatic sorting and palletizing improve product quality and production efficiency.
Effects

Based on the 3D vision algorithm and deep learning model of TimesAI, it has achieved the detection and classification of various cosmetic defects of metal parts, and completed high-speed and accurate positioning, sorting and palletizing.