Don't we already have facial recognition technology that isn't based on AI? why is throwing AI into the mix suddenly a reasonable product? Liability wavers?
After the literal first one which just measured distance between nose and mouth and stuff like that from the 1960s, everything else has been based on AI.
If my memory serves me, we had a PCA and LDA based one in the 90s and then the 2000s we had a lot of hand-woven adaboosts and (non AI)SIFTs. This is where 3D sensors proved useful, and is the basis for all scifi potrayals of facial recognition(a surface depth map drawn on the face).
In the 2010s, when deep learning became feasible, facial recognition as well as all other AI started using an end to end neural network. This is what is used to this day. It is the first iteration pretty much to work flawlessly regardless of lighting, angle and what not. [1]
Note about the terms AI, ML, Signal processing:
In any given era:
- whatever data-fitting/function approximation method is the latest one is typically called AI.
- the previous generation one is called ML
- the really old now boring ones are called signal processing
Sometimes the calling-it-ML stage is skipped.
[1] All data fitting methods are only as good as the data. Most of these were trained on caucasian people initially so many of them were not as good for other people. These days the ones deployed by Google photos and stuff of course works for other races as well, but many models don't.
I think the facial rec systems you're thinking of will recognize faces, but not ID them. They need you to label a face, and then it recognizes that face with a name from there on. Clearview is different in that you can provide it an unknown face and it returns a name. Whether it's just some ML based AI vs an LLM, it's still under the AI umbrella technically.