technology

Deep-learning defect classification

Convolutional models that classify defect types automatically, trained on synthetically generated rare-defect scenarios to overcome the scarcity of real defect samples.

Where it's used

Automated visual inspection
Standalone machine-vision systems that inspect every filled vial, ampoule, syringe and cartridge for visible particulates, fill-level deviations, cosmetic glass defects and seal failures at line speed — a dedicated equipment category built around high-resolution cameras, multi-angle lighting and, increasingly, deep-learning defect classification under EU GMP Annex 1 and 21 CFR Part 11.
fill-finish-packaging 12 min