With face recognition technology as its core, it provides multi-dimensional, fast and efficient verification support and protection for the Internet industry, thereby reducing industry risks. At the same time, it encourages traditional industries to enter the era of intelligent decision-making.
Determining whether the user in front of the camera is a real person can effectively defend against various types of illegal attacks, including photos, videos and models.
Face features are extracted and face similarity is intelligently calculated. Based on the similarity score, a judgement is made as to whether or not it is the same person.
Information can be quickly recognized and output after uploading the image information to be recognized.
Originating from the National University of Singapore, this face-matching technology, based on a deep learning platform and data analytics, achieves 99.7% accuracy on the Internet's standard face test set, LFW.
In the independent research and development and operation of the service platform, multiple servers run in parallel and have a timely warning mechanism to ensure system stability.
7*24 hours professional pre- and post-sales team provides services to meet user satisfaction.