For any given image, a certain strategy is used to search it to determine whether it contains a face, and if so, the position, size and posture of the face are returned.
Locate and return the coordinates of the key points of facial features and contour. The key points include face contour, eyes, eyebrows, lips and nose contour.
Compare the similarity of two faces, and give a similar score, so as to determine whether the same person.
Detecting the pictures provided by users, analyzing the attributes of face recognition in the pictures, including gender (male, female), age (1-100) years and so on.
For a face photo, search the specified face set to find the most similar face or faces, and give the similarity score.
By comparing the public security identity image with the real person image, we can judge whether the user is himself or not, thus completing the online user identity verification test.
Main Services: Face Contrast
Case of cooperation: Softwareworks VDIN