Facial recognition system is developed based on the function of determining and verifying facial zones of a person from digital images. With its ability to compare previous personal images with real faces, the system has the ability to detect two-faced images. Moreover, facial recognition systems can predict age, gender and emotion according to facial gestures.

Administration system plays a key role in controlling versions for modules, tracing, overviewing efficiency of hardware, deployment and caching. This module also helps scale the system automatically and evenly during waiting matching when needed. It also consists of the facial data administration system that stores and verifies faces from millions of different faces, differentiating old and new customers, identifying VIP customers.

Information extraction system provides tools to identify and scan images from various types of card, namely, identity card, passport, driving license, occupation cards, bills, especially in Vietnamese, Japanese and English. This system also helps detect expired and fake cards, minimizing fraud.