Applications of artificial intelligence (AI) continue to evolve, and have recently extended to prescription labs, where AI is changing the way ophthalmic lenses are processed. Here are examples of how the technology is being used for lens surfacing and inspection.

Schneider CSI Modulo ONE

Satisloh VFT-orbit-2i

The first intelligent generator built on Satisloh’s VFT-orbit’s proven platform, the VFT-orbit-2i incorporates AI and machine learning technologies for advanced, streamlined diagnostics and predictive maintenance. It constantly compares actual axes performance against reference values and employs predictive analytics to alert the lab to any potential issues, Satisloh said.

The VFT-orbit-21 features include streamlined diagnostics and AI-powered predictive maintenance; an ultra-fast milling process with a new, stronger milling spindle; voice-coil technology for high surface accuracy; auto-calibration and a power-safe mode.

Schneider’s CSI Modulo ONE reliably detects cosmetic defects automatically and dependably, at the highest level, according to Schneider. The optical system screens the surface for irregularities and characterizes and evaluates them with the help of AI.

It detects any common defects such as scratches, pits, center dots, haze, chatter, cutting marks, spirals and fringes. Automated cosmetic surface inspection guarantees consistent, objective evaluation.

The smart system mimics individual decision-making patterns to reflect the labs’ unique quality standard. All labs must do is teach the system by feeding it decisions. In this way, CSI Modulo ONE knows what constitutes a go or no-go. It understands what kind of defect(s), in which combination, in what intensity and in which zones, is deemed acceptable.

Labs can implement the same quality routines across locations to guarantee the same standards everywhere. Apart from this, labs can also opt to apply differing standards depending on the demands of the product or brand produced.