High Speed Cut-Stack-Press Machine

High Precision

The neural network model of the ATW AI platform employs dynamic re-sampling technology, capable of detecting defects as small as 3 pixels, to improve product pass yield. The separator alignment utilizes both in-transit correction and overall correction to achieve high alignment precision

High Robustness

The integration of traditional algorithms and deep learning adapts to various material surfaces, reducing the likelihood of missed inspections and enhancing quality and yield

High Compatibility

The program can be flexibly switched between compatible products through a one-click model change function

High Flexibility

Modular programming enables easy configurations of various solutions and reduces the debugging cycle. Each defect inspection item can be individually enabled or disabled, enhancing expandability and maintenance convenience. The taping sequence can be set to ensure good compatibility and flexibility

Low Sample Requirement

The "Flow-Short Model" reduces the need for samples. GPU acceleration increases inspection speed to meet high output demands

≤0.125s/pcs

≥85%

≥99.9%

ADJACENT≤±0.15mm

OVERALL≤±0.25mm