XPANCEO Debuts Passive Eye-Tracking Smart Contact Lens Using Moiré Interference Patterns

XPANCEO’s new smart contact lens uses moiré patterns for 0.3-degree eye tracking precision using standard cameras, with no batteries or electronics required.

By: AXL Media

Published: Apr 8, 2026, 11:27 AM EDT

Source: Information for this report was sourced from XPANCEO Research on Natural Science LLC

A Shift from Active Infrared to Passive Optical Geometry

Current eye-tracking technologies generally rely on a power-intensive cycle of infrared illumination and complex computer vision algorithms to map reflections off the cornea. This "active" approach often struggles in well-lit environments where ambient light interferes with infrared signals and places a heavy drain on device batteries. XPANCEO’s new system, published in Advanced Functional Materials on April 8, 2026, bypasses these limitations by using passive optical geometry. By embedding a 2.5 x 2.5-millimeter tracking module into a biocompatible silicone elastomer, the company has created a lens that functions as a high-fidelity optical marker visible to any standard RGB camera.

The Mechanics of Moiré Interference in Gaze Tracking

The core of the technology lies in two ultra-thin optical gratings separated by a microscopic gap. As the wearer’s eye rotates, these layers shift relative to one another, creating "moiré patterns" that transform based on the viewing angle. Dr. Valentyn Volkov, Founder and CTO of XPANCEO, likens this effect to the shifting images in a tilted pop-up book. Because these geometric transformations are mathematically predictable, existing cameras in laptops, dashboards, and mobile devices can interpret the patterns to determine gaze direction with 0.3-degree accuracy—matching industry standards for specialized clinical hardware without requiring a dedicated power source in the lens.

Smart Lenses as Diagnostic Tools for Neurodegenerative Disease

The high-fidelity precision of the XPANCEO lens opens new pathways for medical diagnostics, particularly in the early detection of neurological conditions. Subtle eye movements, micro-fixations, and saccadic velocity are increasingly recognized as vital biomarkers for Parkinson’s and Alzheimer’s diseases. Because this system does not require restrictive clinical hardware, it allows for the continuous, non-invasive monitoring of patients in their natural environments. This "everyday" diagnostic capability could allow healthcare providers to identify neurodegenerative markers years before traditional cognitive symptoms manifest, enabling earlier and more effective intervention.