In order to be able to streamline the digitalization process and ensure the user’s identity and usage rights in action, the demand for financial technology face recognition (brush face) applications is increasing. Instant research provides face recognition modules and identification engines for financial institutions to embed in their own service processes. It can also assist financial institutions to customize the relevant digital processes (system platforms and APP).

The “face recognition service” provided by the instant research is mainly divided into two types: the first one is applied to the field, and the IP camera is used to capture the face information, and the relevant information is retained or carried out in the server. Data exchange or calculation, mainly used in the field of regular customer management, black and white list screening and out of absence management.

The second is applied to the APP of the exclusive financial institution, with the face recognition and other data records, to confirm that the client himself wishes to consent to the relevant operations and applications. Various data is returned to the cloud server for data exchange and storage in the system. It is mainly used in the process of online account opening and insurance pro-signing of bank funds.

Instant research provides the most flexible model for financial institutions. In addition to the engine or SDK license that can be embedded in the service process of financial institutions, it can also be customized according to the needs of financial institutions. Flexible business operations and service models.