Integration of deep generative Anomaly Detection algorithm in high-speed industrial line

ArXi:2603.07577v1 Announce Type: cross Industrial visual inspection in pharmaceutical production requires high accuracy under strict constraints on cycle time, hardware footprint, and operational cost. Manual inline inspection is still common, but it is affected by operator variability and limited throughput. Classical rule-based computer vision pipelines are often rigid and difficult to scale to highly variable production scenarios.