V-Pro GS3

V‑PRO GS3 detects a wide range of cosmetic defects including lathe marks, edge chips, scratches, polishing artifacts, fogginess, chemical residues, laser pattern errors, uneven material distribution, cutting irregularities, and “orange peel” surface texture. The system’s advanced imaging optics and AI-based classification allow highly consistent and reliable detection, even of subtle or semi-transparent imperfections.

The system leverages Rotlex proprietary Visual AI engine, trained on large, labeled defect datasets. It uses deep learning to automatically detect, categorize, and label each defect type, such as scratches, turning marks, dots, fiber, chipping, and general cosmetic issues. Each defect is reported with specific measurements, enabling targeted QA decisions and full traceability.

Yes. The system includes a configurable Go/No-Go decision module, where users define tolerance thresholds for different defect categories (e.g. scratch width/length, dot size, fiber count). The software evaluates each part against these parameters and issues an immediate pass/fail verdict per item, ensuring consistent, operator-independent QA.

The system supports both rigid lenses (e.g. Ortho-K, RGP, scleral) and soft lenses (including disposable and colored lenses). It is suitable for QA inspection of final lenses, semi-finished products, or lens molds, depending on the production stage.

V‑PRO GS3 generates high-resolution images and tracks all inspection data in real time. All detected defects are logged and visualized in clear dashboards. This enables production and QA teams to identify recurring issues, trace defect origins, and implement process improvements. Additionally, the system automatically stores image data for every inspected product, building a complete traceability archive.