The statement that was issued to AppleInsider and other media venues on Wednesday morning demands Bloomberg to task for reporting suggesting that the Face ID sensor sourcing has produced less accurate products.
The statement says:
“Customer excitement for iPhone X and Face ID has been incredible, and we can’t wait for customers to get their hands on it starting Friday, November 3. Face ID is a powerful and secure authentication system that’s incredibly easy and intuitive to use. The quality and accuracy of Face ID haven’t changed. It continues to be 1 in a million probability of a random person unlocking your iPhone with Face ID.
Bloomberg’s claim that Apple has reduced the accuracy spec for Face ID is completely false, and we expect Face ID to be the new gold standard for facial authentication.”
The statement does not deny that testing changes have been made —only that any changes that were possibly made do not impact the accuracy of the system —already significantly less vulnerable to inaccurate identification than Touch ID.
A report on Wednesday morning made the claim that Apple had reduced testing standards for the Face ID sensor system in order to improve yields. AppleInsider recorded the report, and also made the remark that the Face ID was likely not reduced in terms of accuracy because of any rumoured shift.
The iPhone X is “an aggressive design,” according to sources familiar with the matter that was cited in the earlier report of Bloomberg, with a “very aggressive schedule.” According to more unnamed sources, as part of the component supply problems, Foxconn reportedly removed as many as 200 workers off a production line of then iPhone X.
The iPhone X of Apple’ features a 5.8-inch Super Retina OLED display, the A11 Bionic processor, and the seemingly hard-to-produce 3D-sensing TrueDepth camera at the core of the Face ID technology. The device ships November 3, and begins at $999 without any promotions.
The TrueDepth camera system outlines the geometry of the face of the user using “advanced technologies,” which consists of a 7-megapixel camera sensor, an infrared camera, a dot projector, and a flood illuminator. Verifying the attention of the user by identifying the direction of their gaze, Face ID then uses neural networks to rival and prevent spoofing attempts to unlock the phone, with the system automatically adjusting to changes in the user’s appearance over time.