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title. Second Sight: Google AR Eyewear Concept Design

date. December 2019

city. Atlanta - San Jose

designer. Yuanqing Tian, Haining Wang, Roger Ball

Second Sight Presentation.001.jpeg
The following video will provide you a quick insight of what we achieved through the process.

We propose the concept of the "Second Sight", in which three main modules composite the structure of an AR glasses.

  • The frame, with the soft silicon arm covers, is derived from the classic Rayban style and parametrically transformed to fit the 3D scanned face data so that the size of the frame can better fit an individual's face curve.

  • The lens, separated from the glasses frame, is a total flat surface that can be replaced up to users’ own preference by magnets.

  • The projectors, represent for the real AR technology, which we propose to be small and powerful enough inside the space between the frame and the lens.

In this case, Professor Ball is our first user.

Before the scan, we use landmark stickers to locate the important points on the face that serve as vital reference for glasses frame design. We scanned the whole head and process the scanned data for the further CAD program.

We then manually re-do the positioning of these landmarks on the CAD head form according to the scanned data. 

We went through several rounds of CAD design and 3D print prototyping.

Optimizing the design, improving the materials till we finally reach to our goal that both the frame size and the glasses form maximally fit the face.

Remember, people’s skin tissue is flexible and soft. Mathematically fit on the screen doesn’t mean they are also perfect in reality. So while printing different prototypes again and again, we can find the real size that makes the frame comfortably stick on the face without dropping down.

Wait ! This is NOT the end for future AR Eyewears ...

In the future, we plan to focus on the parametric design method for AR eyewear fit problems. 3D body scan, parametric algorithm and 3D print offer us perfect tools to design for personalized and custom fit wearables. In the near future, imagine, the face - fit - frame parametric algorithm would automatically produce a personalized AR glasses frame for you. Wouldn't that be cool?

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