Oct 2026
A Comparative Evaluation of Rule-Based and Deep Learning Approaches for SAM Inspection of QFN Packages
Scanning Acoustic Microscopy (SAM) is increasingly employed in the up-screening of commercial off-the-shelf (COTS) components for high-reliability applications, enabling detection of latent, field-failure-symptomatic, package-level defects beyond the reach of electrical test or visual inspection. As inspection volume...
Rachael Gitnes, Ken Vielmette, Talapker Imanbayev et al.
· International Symposium for... · 0 citations