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PCB Inspection

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Limitations of current visual inspection

Dependence on Manpower

The current PCB inspection process requires one inspector per

VRS. This creates a burden of high labor costs if many VRS

equipment are used.

Low Accuracy and Speed

Visual inspection has various issues, such as inconsistencies in

inspection accuracy and speed, arising from varying skills of the

operator and different standards being applied.

Why PCB Inspection is Difficult

Difficulty in Automatic Classification of Defects

The extent of testing by conventional machine vision

technology is limited to simply checking for the presence

of PCB defects. Functions such as addressing detection

errors and/or automatic defect classification are not possible.

This is because the shapes and the standards of PCBs vary

by company, making it difficult to respond to the various

defect criteria using current equipment.

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Benefits Offered by SuaKIT

Reduction of PCB Detection Error and Potential

for Automatic Classification

Customers can benefit greatly by utilizing SUALAB's deep

learning technology. For instance, the AI network picks up

PCB images and automatically reduces chances of false

positives for defects, and also enables automatic defect class

ification. The deep learning technology also allows for

flexible responses for varying customer standards.