Invest Hong Kong
Shenzhen Runlite Technology Co., LTD.
China Mobile Hong Kong Company Limited
Shenzhen Runlite Technology Co., LTD. (CS) (Sponsor)
China Mobile Hong Kong Company Limited (CS) (Sponsor)
Nexplore Hong Kong Limited (CS) (Sponsor)
Technological revolution in Information and Communication Technology sector is being enhanced to facilitate the users of advanced and intelligent services. Advanced and intelligent services include different self-service terminals, such as self-service permit machines for government service, self-boarding terminal in airport, ATM, smart access control, smart retail terminals, self-check in terminal in hotel/club VIP counters, service robot and delivery robot. The smart terminals are accessed only by authenticated users， trustful authentication process is required. The simplest implementations of authentication are smart cards and password tokens. Compared to these traditional methods of authentication, biometrics based authentication is more convenient and faster. Biometrics are reliable methods for the automatic identification of individuals based on their physiological and behavioral characteristics such as face, fingerprint, palmprint, gait, iris, retina, and voice. When recognizing humans using biometric traits, a mono trait may not be always available or may not be enough quality to decide the identity of the subject. Fusing information from multiple biometric traits not only enhances the robustness, but also the accuracy of the multi-modal biometric system. Multi-modal biometric authentication system could be used to further strengthen the security by overcoming the limitations imposed by unimodal biometric authentication system. For different biometrics, the sensing distance and accuracy is different. Currently, there is no single optical module solution existed to cover different biometrics sensing. In this project, it is to develop a multi-factor/multi-modal biometric sensing system to cover biometric sensing from short to mid and far sensing range. A diffractive optics based compact sensing module will be developed for multi range biometrics sensing and behavior analysis. A multi layer diffractive optical element with a pattern generation layer and a geometric phase lens layer to generate multiple focus lengths, which will be used to realize a multi focuses light pattern. A hyper focal 3D optical sensing module will be realized with a phase apodization design to extend the imaging unit's field of depth. Finally, a Multi-Level Hybrid Fusion Pyramid Architecture (MHFPA) will be developed to realize seamless multi-factor biometric sensing system. The technology yielded from this project will be implanted in multi-factor biometric sensing system, which will be used for smart terminal, building security, automotive, self-service kiosk and other Internet of Things (IoT) applications.