Smart AXI - Autonomous AI Review

In high-density SMT processes, conventional AXI algorithms are often affected by overlapping double-sided components and shadow interference, resulting in a high false-call rate and making manual review a production bottleneck.

WNC Smart AXI, an AI-powered review system, uses a software-defined architecture to deliver next-generation inspection accuracy on existing equipment—without significant capital expenditure on hardware. Its process-validated deep learning models perform secondary analysis to accurately filter out non-genuine defects.

While maintaining a strict Zero Escape quality standard, Smart AXI effectively detects challenging defects such as BGA Head-in-Pillow (HiP) and micro-voids, while eliminating the risks of reviewer fatigue and inconsistent judgment. It helps automotive, server, and other high-reliability applications achieve stable quality, improved first-pass yield (FPY), and optimized workforce efficiency.

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