This IR image that is stored is the base on which your phone will authenticate the user. The images are sent to the neural engine which can perform over 600 billion operations per second, and it's used to do real-time processing of Face ID recognition. One might argue the accuracy and reliability of such a system, but under the most favourable conditions the accuracy can be as high as 99.99 percent and there are three main variables that influence the accuracy: Pose, Illumination and Expression. Apple claims Face ID 'a revolution in recognition'. But is the system really revolutionary and accurate? We just have to wait and watch for the reviews from the users.
So what does this imply to the automotive industry? We all know like Tesla, Apple is an innovator disruptor in the smartphone space. What was considered a costly technology and still in the R&D stage in automotive industry has found its way into the smartphone through Apple. This insertion point marks the journey of facial recognition into cars when we look at personalization, smart access and in-car payment systems.
It has been very clear with iOS strategy, an operating system which runs on lesser RAM than Android phones but is way faster – this shows their approach towards integration of autonomous brain and functional safety based OS. iOS 11 might or might not have impressed a lot of people, but it comes from a background where Apple is able to offer nimble and intuitive interface which doesn't require much of learning – which the automakers haven't been able to do in their cars. Talk about contextual navigation, the AR will potentially drive the next generation of geo fenced services while the navigation becomes search engine of cars. Apple Payments is another avenue which can be looked at from a B2C perspective – every transaction made inside the car potentially is going to generate revenues.