Biosecurity with Light
Rob Devlin on Metalenz, Metasurfaces, and Spoof-Proof Biometrics
This week on the 632nm podcast, we speak with Rob Devlin, co-founder and CEO of Metalenz, about how metasurfaces are transforming optics and enabling a new generation of secure sensing.
The 632nm podcast features in-depth conversations with the world’s leading scientists and engineers.
I. Flattening Optics
Metasurfaces have been a theoretical idea for years: if you could control light with nanostructures on a flat surface, you could replace complex lens systems entirely. The challenge wasn’t just physics, it was manufacturing.
As Devlin puts it:
“It’s that shrinking it all, flattening it all down to a single surface, and then making it really easy to mass produce in the semiconductor fabs. That is the real innovation.”
The key shift is not just optical performance, but the ability to fabricate these devices using the same infrastructure as chips, turning optics into something that can scale.
II. From One Device to Ten Million
A recurring theme in the conversation is the gap between academic success and industrial reality. In research, building a single high-performing device is enough. In consumer electronics, consistency is everything.
Devlin describes that transition:
“You couldn’t just target the nominal anymore. You had to target the spread that was required to get good yield.”
This means designing not just for ideal conditions, but for manufacturing variability, ensuring millions of devices all perform within tight tolerances.
III. Seeing More Than Intensity
Traditional imaging systems capture intensity and color. Metasurfaces enable access to a fundamentally different signal: polarization.
That matters because polarization encodes information about material properties, not just appearance.
“Polarization is really good at telling you what objects are made of.”
This turns a camera into something closer to a sensor for physical properties capable of distinguishing between materials that might otherwise look identical.
IV. Why Spoofing Fails
Most existing facial recognition systems rely on geometry, that is, mapping the shape of a face. But shape alone can be replicated.
Polarization introduces a new constraint: material.
“Even if the 3D shape is perfect… the material difference is picked up… and it will immediately reject it just based off of that material property.”
In other words, a mask can match your face’s geometry, but it can’t replicate how your skin interacts with light. That difference becomes a powerful signal for security.
V. A New Information Channel
Beyond biometrics, Devlin emphasizes that polarization is just one example of a broader shift in sensing.
“It’s a new information channel.”
Once these signals are available at scale, in phones, laptops, and other devices, they can feed into machine learning systems and enable entirely new applications.
The implication is that we’re not just improving cameras. We’re expanding what it means to “see.”
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