The automated multimodal biometric identification system is a cross-platform, open and scalable unified identity verification and recognition platform to realize the safe, convenient, true and accurate verification and recognition of user identity. Multi modal authentication is applicable to the security risk prevention, intelligent identification analysis and large-scale identity verification services of computer network application systems in various fields.
With 20 years practical experience in financial industry and several cases of 140,000 hours of MTTF (minimum failure free interval). The system design is robust and will not affect the normal works of other businesses when some businesses upgrade services, fail or have abnormal data.
The platform adopts a variety of algorithms originally created by Eyecool Technology, and provides biometric verification services of multimodal fusion, effectively improving the adaptability of biometric technology to different people and scenarios. Response can be done within one second to hundred million level data, and the recognition rate is above 99%.
The platform has built-in privacy protection capability, which only stores structurally extracted biometric data, does not store customers' original biometric pictures, and encrypts, verifies and controls access to biometric data to ensure the confidentiality, integrity and controllable access of sensitive information. Through data transmission encryption and minimizing authorization, ensure the security of data exchange with third-party business systems.
The system establishes an internal audit mechanism before, during and after the event, and has a complete ability of application logs.
