Intel today announced a new solution called RealSense ID, which is a technology that combines depth sensors with artificial intelligence for face authentication. If the description sounds like what Face ID does, it’s because it is.
Just like Face ID, RealSense ID is based on two camera lenses and special sensors that can capture depth. Combined with an advanced neural network, it can detect and distinguish a person’s face, making it useful as an authentication method for smart devices.
According to Intel, the installation process is simple, and it also depends on a security chip that stores and encrypts user data, just as Secure Enclave does on iPhone and iPad.
With a simple registration process and no network setup required, Intel RealSense ID provides a highly accurate, natural solution that simplifies secure entry. With just a glance, users can quickly unlock what is important to them. Intel RealSense ID combines active depth with a specialized neural network, a dedicated system-on-chip and a built-in secure element to encrypt and process user data quickly and securely.
The company says RealSense ID can be integrated with smart locks, access control, points of sale, ATMs, kiosks and many other devices. Intel has built its technology with an anti-spoofing system that works against attempts to unlock the device with photos, videos or masks. The probability of someone cheating on Intel̵
Since Face ID was introduced with the iPhone X in 2017, we have not seen many competitors, including a similar technology in their products – perhaps because Face ID sensors are expensive and they require significant internal space available (which is why the iPhone still does not has notch). Although other smartphones, tablets and computers offer face recognition, they often work based on simply identifying the user’s face in a 2D image.
It will be interesting to see if Intel’s RealSense ID will bring a Face ID level face recognition system to other devices. Meanwhile, rumors suggest that Apple will add Touch ID back to future iPhones, as some users seem to prefer the traditional biometric method.
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