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Apple blogger

macrumors 6502a
Original poster
Feb 28, 2013
892
177
hi,

I'm sorry, if this has been asked or covered. I tried reading how fave ID works, to find out if Apple uses a feature which I think my help apple's face ID get better.. but I couldn't find anything ok it.

With iOS 10( or 9), Apple released memories and people's album, where the machine recognises faces, and the sepereates them, and you can then add the names and etc. etc. This happens when your phone is locked and connected to wifi.

Now Apple has included a lot new stuff in the iPhone X including a neural engine, the secure enclave where Face ID information is stored and the dot projector, and a true depth camera.

The way I have understood how gave ID works, (in a most basic way) is that when we set it up, it's stores our face details in the secure enclave, and each time we unlock the phone (either by a password, or otherwise) the neural engine and other system processes, confirm our image from the dot projector and camera, with the stored images at the time of setting up, and update it with new information.

How my question is that, does Apple also send and receive information that it collected( and is collecting) from iOS 9 or 10, from the face recognition of people's in the photos, to the secure enclave to better analyse stuff, because that would be a better way for face ID to figure my face out.

A person probably has 100's of photos of himself along with others. The machine learning and artificial intelligence can differentiate the faces. When I seperate my photos with others, and if that information of the photos is sent to the secure enclave, to combine it with the information received from the tru depth Camera and dot projector, when I set up Face ID and unlock it everytime, after a point of time, my iPhone would be able to recignise not only me, but even other people. And in future could lead to adding more faces to unlock the phone( like family members, etc) which it learned from the photos app.

Also, since the contacts app lets us add relationships, the photos app, and the system knows who's my mother, brother, etc.


Does Apple use this technique of combining face information from photos app learning and Face ID learning?
 
I doubt it even though I don't have any concrete proof. I also doubt anyone will know the answer for sure.
 
They say the lasers it uses to scan your face might be cancerous. I find that hard to believe but it’s got me thinking
 
They say the lasers it uses to scan your face might be cancerous. I find that hard to believe but it’s got me thinking

I say this as someone who started an entire thread to propose and discuss the idea that FaceID could be harmful:

FaceID does NOT use lasers, and I have heard no one claim that the infrared light that it does use is carcinogenic.

To answer the original question, FaceID works by projecting an array of infrared dots on your face to basically make a 3D map of it. Unless Apple is flat out lying, the data it uses is stored on the phone and never transmitted anywhere. It also does not take a “picture” of your face. In fact, it should work even with the camera covered.
 
The front facing camera is not used in Face ID. It's only used in the set up process to let you see your own face.

Apple's website has a nice article about how machine learning assisted in Face ID which is all done on your iPhone.

I guess Apple used tonnes of photos with human faces on it to train the neutral network on their side.
 
FaceID and face recognition in photo work in a different way. FaceID scan depth map of you face then change depth information and combine it with device specific number then turn it into mathematical and matching it with the one in Secure Enclave.
Photo.app facial recognition is using face recognition algorithm to process facial feature of people in that photo and it use deep learning to continue improve the results. And BTW they all done locally on device,no need for Wi-Fi or internet.
 
FaceID and face recognition in photo work in a different way. FaceID scan depth map of you face then change depth information and combine it with device specific number then turn it into mathematical and matching it with the one in Secure Enclave.
Photo.app facial recognition is using face recognition algorithm to process facial feature of people in that photo and it use deep learning to continue improve the results. And BTW they all done locally on device,no need for Wi-Fi or internet.

Yes I know all of that.. but why cant Apple combine the process.. Face ID could learn more from my pictures...
 
What do you think it would learn from your pictures?

Face ID is a 3D “map” of your face. Your 2D photographs won’t provide Face ID more information about that 3D map.
Well, if Ai can differentiate between our faces, I'm pretty sure, the Face ID can learn from that.. whether it's 2D or 3D... the 2D pictures have built overtime, different hairstyles, etc. All that Apple claimed.. but, for Face ID to learn all that, I would need to unlock the phone quite a lot of times, and if there's a drastic change, I'll need to input the passcode.. then the face ID would learn.. if my 2D faces can be brought and analysed, the whole "recognising my changes" would become much more efficient. Plus as I said, it could allow the phone to differentiate between other faces, and in future allow Apple to add emergency contact faces...
 
hi,

I'm sorry, if this has been asked or covered. I tried reading how fave ID works, to find out if Apple uses a feature which I think my help apple's face ID get better.. but I couldn't find anything ok it.

With iOS 10( or 9), Apple released memories and people's album, where the machine recognises faces, and the sepereates them, and you can then add the names and etc. etc. This happens when your phone is locked and connected to wifi.

Now Apple has included a lot new stuff in the iPhone X including a neural engine, the secure enclave where Face ID information is stored and the dot projector, and a true depth camera.

The way I have understood how gave ID works, (in a most basic way) is that when we set it up, it's stores our face details in the secure enclave, and each time we unlock the phone (either by a password, or otherwise) the neural engine and other system processes, confirm our image from the dot projector and camera, with the stored images at the time of setting up, and update it with new information.

How my question is that, does Apple also send and receive information that it collected( and is collecting) from iOS 9 or 10, from the face recognition of people's in the photos, to the secure enclave to better analyse stuff, because that would be a better way for face ID to figure my face out.

A person probably has 100's of photos of himself along with others. The machine learning and artificial intelligence can differentiate the faces. When I seperate my photos with others, and if that information of the photos is sent to the secure enclave, to combine it with the information received from the tru depth Camera and dot projector, when I set up Face ID and unlock it everytime, after a point of time, my iPhone would be able to recignise not only me, but even other people. And in future could lead to adding more faces to unlock the phone( like family members, etc) which it learned from the photos app.

Also, since the contacts app lets us add relationships, the photos app, and the system knows who's my mother, brother, etc.


Does Apple use this technique of combining face information from photos app learning and Face ID learning?

The Secure Enclave doesn’t store photos or images. It stores only a mathematical representation of a depth map and 2d infrared map of your face, which can’t be reverse engineered. That math is compared to the math generated when you use Face ID to unlock your phone.
 
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