A biometric recognition technology based on human facial feature information. Use the camera to collect the image or video stream containing the face, and automatically detect and track the face in the image, and then carry out a series of related technical analysis of the detected face, which is usually called portrait recognition and face recognition.
More than 90 million data stored in database of real implementation.
It has been applied on a large scale in dozens of large banks and institutions.
Second level response to hundred million level data.
The liveness pass rate is larger than 99%, and the prosthesis detection rate is above 98%.
Single core comparison speed can reach 1million times per second.
Second place in the world in LFW competition.
The accuracy rate is as high as 99.71%, on the leading position of the world.
Supports the comparison of various types of face images such as certificate photos and life photos, which is accurate and reliable.
