Like all biometrics solutions, face recognition technology measures and matches the unique characteristics of a subject’s face for the purposes of identification or authentication. Leveraging a connected camera – whether it’s a IP surveillance camera or a built-in smartphone camera – facial recognition software can detect faces in images, quantify their features, and then match them against stored templates in a database. It can also be applied to videos and images that have previously been recorded in order to identify the individuals depicted.
Face scanning biometric tech is incredibly versatile and this is reflected in its wide range of potential applications. Apple’s Face ID has spurred an increased interest in facial recognition technology in the mobile sector, with selfie-based authentication rapidly catching up to the ubiquity of fingerprint authentication. Banking apps (like the one offered by USAA), payment apps (like MasterCard’s video selfie system) and simply logical access control — these are all made possible on any mobile device with a front facing camera.
Due to the fact that face biometrics are contactless, the technology is increasingly popular in the enterprise and other public-facing application areas. In the vertical markets, mobile facial recognition can be found at work in law enforcement handhelds, identifying wanted persons and bringing the booking process into the field, and it has the potential to be utilized in healthcare, and used by government bodies for citizen ID.