Developing a Smart Dive Mask: What We Learned

Developing a Smart Dive Mask: What We Learned

When a development team in the diving category takes on a smart mask, the first assumption is usually that the electronics will be the hard part. In our experience that is wrong. The electronics are the solved part of the industry — you can buy a display module. The hard parts are the ones that only show up when you put that module on a human face and send it underwater.

Three of them took most of our time.

Problem One — Fog Erases the Display

On an ordinary mask, fog is an annoyance. You clear it and dive on. On a smart mask, fog on the inner lens does not blur the display — it deletes it. The mask's entire reason for existing stops working, usually at the moment the diver most needs the data.

That reframing changed how we treated the problem. Fog stopped being a coating decision and became a systems decision: how the sealed cavity breathes, where temperature differences sit across the lens, how the optical path behaves when the inner surface is not perfectly clear.

Anti-fog performance that holds up in cold water, over repeated dives, without the user reapplying anything, is not something you source. It is built up over years in this specific product category. It is also the part of the program we would least want to start from zero on.

Problem Two — Weight Breaks the Seal

A mask seals by pressing a soft silicone skirt against the face with only the strap tension holding it there. Add mass to the front frame and physics works against you: the mask starts to sit away from the face, and the seal fails.

Our first instinct was to track total weight. That was the wrong metric. What matters is where the mass sits. Moving a component a few centimeters back toward the temples changed the balance more than removing grams from the front did. The working target became a front-frame mass budget rather than an overall weight figure — a constraint that then had to be pushed back onto module selection and mechanical layout, which is what made it difficult.

Problem Three — Nobody Can Press a Tiny Button With Gloves On

Every control concept that looks elegant on a bench dies underwater. Wet hands, cold hands, gloves, poor visibility, and a diver who needs to keep looking at something else do not combine into a good fit with small buttons and multi-level menus.

We rebuilt the control logic around one rule: any operation a diver needs mid-dive should be reachable by feel, without looking, in one action. Everything else belongs on the surface, before or after the dive. This constraint deleted features we liked and simplified interfaces we had invested time in, and it is the reason the resulting design is usable rather than merely demonstrable.

What Carried Over From Our Other Work

None of this started from nothing. Our anti-fog work on conventional diving masks went straight into the optical path. Our pressure-balancing work on ear and mask design informed the sealing architecture. Our mold and validation experience decided how quickly a design could move from a working prototype to something repeatable.

The pattern is consistent: the parts of a smart mask that are genuinely difficult are the parts that require having made diving products before.

What We Would Tell a Team Starting Now

• Decide what the mask must display before deciding what module to buy. The display should follow the requirement, not the other way around.
• Treat anti-fog as a functional requirement with a test, not a coating feature on a spec sheet.
• Budget front-frame mass, not total weight.
• Design controls for a gloved hand from the first sketch.
• Settle the certification path early, because it constrains materials and architecture.

The category will be decided by manufacturing discipline, not by who announces first. That is the part we work on.