Secure Face Authentication: Product-ready and cost-competitive solution ready for behind-OLED integration in smartphones

Due to the increasing number of sensitive applications such as mobile payment functions, users expect a highly secure method to protect their device and thus their data from unauthorized access. trinamiX Face Authentication with unique liveness detection of human skin reliably recognizes spoof attempts, even when using realistic three-dimensional masks. The system also offers a bezel-less, full-surface image experience, as the hardware can be invisibly integrated behind the OLED display.

trinamiX Face Authentication is in the starting blocks just in time for the MWC so that it can be integrated into new smartphone series within a very short time.

Secure authentication for vehicles’ exterior

For the automotive sector, trinamiX offers a solution with a sensor system embedded in the B-pillar for biometric authentication with liveness detection, which unlocks the vehicle as soon as an authorized person is recognized. This allows previously registered users to access the car contactless and keyless while providing reliable protection against theft. B-pillar solutions have been realized in collaboration with Continental and Antolin independently. Both demonstrators will be showcased at the booth.

Secure authentication for vehicles’ interior

With the "Driver Identification Display", which was developed in collaboration with Continental, trinamiX is bringing its secure Face Authentication, invisibly integrated behind OLEDs, into the interior of the car. The trinamiX solution's unique biometric liveness detection based on human skin ensures that vehicles can only be started by authorized persons.

Consumer Spectroscopy: Revealing the secrets of our skin with a smartphone

trinamiX Consumer Spectroscopy is another innovation that can be experienced up close at the trinamiX booth. This solution comprises a sensor, integrated into the Snapdragon 8 Gen 3 Reference Design, that can measure individual health and fitness indicators in real time by placing the mobile device on the skin. In combination with an intuitive app and data analysis backed by machine learning, users receive personalized recommendations for action - for example to improve their skin health.