Improved Motion-Based Facial Identification Technique

As more and more technologies rely on a digital identity, the importance of powerful facial recognition increases. This product builds upon native frameworks to create foolproof facial verification.

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Inspiration

FaceID on iPhones is super powerful but it is certainly a newer feature that only works for newer cameras and versions of iOS. I wanted to create something that works for much earlier versions of iOS and relies less on TrueDepth cameras or other newer hardware features.

What it does

The mobile app is essentially a gesture checker, in which you can turn, tilt, smile, etc. to complete a series of randomized gestures. After you complete these gestures, you are done authenticating yourself!

How I built it

Swift!

Challenges I ran into

Multithreading and parallel processing issues

Accomplishments that I'm proud of

The fact that this works with very very old iPhones!

What I learned

Swift

What's next for Improved Motion-Based Facial Identification Technique

Tests and many UI changes

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