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Hi!

In our last email, we took a look at mapping applications and how AI works behind the scenes to give you a smoother drive.

In today’s email, we’ll discuss how face recognition works.

Facial recognition is pretty much ingrained into our lives nowadays, whether you realize it’s there or not.

And whether or not you’ve thought about it, that’s artificial intelligence.

Think about a Zoom meeting filter, for example.

The application has to recognize blobs of color as a human face before it can apply that filter.

If you use facial identification to unlock your phone, not only does the AI have to recognize a face when it “sees” one, but it has to recognize your individual features.

And that’s not even the beginning of facial recognition.

You need to be able to understand how the face changes when the owner turns their head, looks downward or upward, or shows emotion.

What if you can’t see the entire face at all?

How do you recognize someone you know if all you can see is their eyes, or the lower half of their face?

AI must be able to solve this problem.

AIs are taught to identify certain facial coordinates—denoted X, Y, W, and H, they form a square around the face as an area of interest.

They also look for landmarks like eyes, mouth, etc., and alignment of the face (geometric structure).

This takes our human ability to recognize faces to a whole new level.

An AI can recognize faces even faster than a human and can extrapolate features from partial faces they spot.

Intelligent machines can thus match—and often exceed—human capacity in this area.

Imagine the uses of such an application.

Not only can your phone recognize you and use your individual features to secure your property, it can also apply a playful filter to that face for a photograph or Zoom meeting.

Facial recognition can also be harnessed for other security situations.

Gatwick Airport in London is already using facial recognition cameras to double-check IDs before allowing passengers to board the plane.

Police can use the same software for surveillance, or to pick a suspect out of a crowd.

Artificial intelligence has changed the way we look at one another, both literally and figuratively.

In our next lesson, we’ll take a look at the ever-annoying autocorrect feature and how artificial intelligence is involved in that.

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