Wington L. Vital

Rethinking Automated Visual Quality Control: A Systematic Benchmark of State-of-the-Art Anomaly Detection Methods for Assembled PCB Inspection

This work benchmarks four state-of-the-art unsupervised anomaly detection methods CFA, DFM, FRE, and PatchCore for automated PCB inspection under a strict one-class learning protocol. All models were trained exclusively on nominal samples and evaluated using default configurations to reflect realistic industrial deploy...