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Appearance defect detection

K2 Tech uses "artificial intelligence deep learning + machine vision image processing" technology to quickly identify various defects in different industries, such as damage, irregular size, poor roundness, edge defects, bulge, dirt, scratches and surface residue, through image pretreatment, labeling and other training methods. It realizes high-precision detection In the high-speed production process and helps manufacturers greatly improve gross margin and customer satisfaction.

Core advantage
Size Online Measurement and Feedback Control Module

Realize 0.2μm of high speed and high precision measurement

Workpiece 360- degree multi-perspective detection Module

Realize 360°rapid and continuous superposition imaging

Size Online Measurement and Feedback Control Module

Realize 0.2μm of high speed and high precision measurement

Workpiece 360- degree multi-perspective detection Module

Realize 360°rapid and continuous superposition imaging

Machine Vision Algorithm Software Package

Identify multiple defects of the workpiece

Inspection platform for workpiece appearance defects

Test the flaw for multiple material defects

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