Apple has acquired Image Analyzing french startup Regaind probably to envision its future objective on Mobile Security. Regaind is a small startup company which offers game-changing insights to companies through artificial intelligence. So, Apple desires to use Regaind’s computer vision API in all its future device releases and solve the issues which cropped up through its Apple iPhone X’s facial recognition based biometrics authentication.
Readers of Cybersecurity Insiders are requested to make a note of a point that Apple’s latest iPhone X has a facial recognition technology embedded in it to authenticate its users. However, some security analysts argue that iPhone X’s facial recognition cannot be treated as a secure biometric’s authentication as it can be easily spoofed by the change in the face by time, wrinkles and makeup.
Perhaps, Apple is looking to put an end to all these arguments in future by increasing the technology ante of facial recognition in its future releases with the help of the newly acquired Regaind technology.
In general, Apple already offers an intelligent feature to analyze the content of photos. For instance, you can search for sunset related photos on your mobile phone and get all those pics which have the sunset in it.
In order to do this, Apple analyzes all the photos from your gallery when your phone is in idle mode. It carries out an analysis on the photos and keeps a list of the content which is inside the photos.
Regaind works in a similar fashion but goes a step further by analyzing technical and aesthetic values of your photos. For instance, if you take pics in burst mode, Regaind can automatically find the best shots and display it as the main shot in your photo library. Also, it helps its users to hide duplicates.
Thus, after the acquisition, Apple wants to develop Regaind’s present technology to a level where the software can detect a person’s face irrespective of his age, gender, make-up, and aging.
If, in case, Apple taste’s success in doing so, then it can make its iPhone X’s facial recognition based biometrics authentication absolutely flawless.