The new benefits of technology in bad hands Unfortunately, we can see that it can also be functional. Hacking bots slow down pages, fake and auto-managed (bot) accounts impersonating real individuals on social media, and potential to fuel political debate deepfake videos We can give an example of this.

In particular, it is necessary here to open brackets on the deepfake side. Because the technology in question is becoming more and more pleasure Although it is used in the field, it is certain that at some point it will reach a quality indistinguishable from the real thing. Well, this technology, which has the potential to mislead people, offers privacy with facial recognition. our smartphones Could it also be wrong?

The answer is hidden in the working logic of facial recognition technology:

The two most famous phone brands Apple and from Samsung We can easily shed light on this problem by looking at facial recognition technologies. Let’s start with Samsung:

Initially, 2D facial recognition was used in Samsung and other Android models. So what does this mean?

2D Face Recognition scans your face, but does not analyze your face shape as it does in 3D. In other words, both the face you introduce from your camera and the photo you show to the camera. in two dimensions stored. Therefore, facial recognition systems on phones have only been used in the past. with pictures We saw that it was possible. Because only the front camera was used to store your facial information. Plus, this machine learning system improved as you used it.

But later on, Samsung realized the danger and started selling it to its flagship models. infrared LED posted it. In this context, the 3D system was adopted and higher safety was achieved. But Samsung doesn’t do this to facial recognition, iris recognition as revealed. This feature, which we saw in Galaxy S8 models, was disconnected after a while and in addition to the simple facial recognition system we mentioned, a fingerprint option was offered.

“How is 3D scanning different from the others?” If you ask, the infrared LED will reflect a large number of dots on your face. 3D face map and so it is clear that what is shown to the camera when unlocked is not a photo or video.

That’s why we hear less about ‘photo unlocking’ over time; Our move to infrared sensors:

However, seeing two-dimensional facial recognition systems that in most models does not offer much security. possible. Machine learning also provides their security.

So what did Apple do?

Apple makes its revolutionary move for iPhone history iPhone X made with the model. Touch ID disappeared when the button that everyone had been used to for years was removed from the relevant model. Instead, it works using an infrared sensor. Face ID came into our lives. The technology here is as we mentioned in the Samsung section. to infrared projection based on. Again, about 30,000 small dots are projected on your face and safety is provided by making a face map in the same way. In addition Face IDIt also adapts to factors that make your face a little different, such as beard and glasses.

So how can we connect all this with deepfake?

The difference between two-dimensional and three-dimensional face scanning that we are talking about can be a bit confusing when it comes to deepfake, but the situation is actually like in photography. Although you are shooting realistic videos of someone else that look like they are in 3D, the camera will perceive them as two-dimensional as it will see it from the screen. So this is the case with sensors that are widely used in the smartphone world.

In this context, the image that the infrared light points will create from the 3D deepfake video is as follows.

tangibleDeepfake won’t be a formidable competitor to infrared technologies like Face ID unless realistic three-dimensional facial models are obtained, which would be terrifying. Thanks to this security, it is now possible to shop even with facial recognition.

Do you think that this will become insurmountable for malicious parties in the future? You can share your thoughts in the comments section. In addition, let’s not end without mentioning that different companies follow different facial recognition methods, but these two are enough for deepfake.

• sources: PC World, Android Authority, Zbigatron
• Image Sources: Lifewire, Gizmodo