DeepGlint Face Recognition System

DeepGlint Face Recognition System

DeepGlint face recognition system enables human detection and face recognition in vehicles at gate entrances, based on on-premise big data set. Identification of dynamic faces and static faces is a main demand of the current market. Face recognition has become one of the most important bio-metric identification methods, which has great application prospects and commercial value. With a large amount of data in deep learning technology and security monitoring, Deepglint has developed a leading international algorithm for security monitoring. Its face recognition system, including two subsystems: face recognition and static large library face comparison. Please Note - Intel is committed to respecting human rights and avoiding complicity in human rights abuses. Intel’s products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right. See Intel’s Global Human Rights Principles.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.



  • High face recognition contrast accuracy
    Face (1 vs1) mismatch rate is less than one billionth. Dynamic face recognition comparison accuracy is above 95%.
  • Strong face detection and capture ability
    Support simultaneous detection of hundreds of faces in the picture. Support for detecting low-profile faces. Support for detecting high occlusion faces.
  • Support multiple face attributes
    Support gender, age, glasses, hat and other face attributes.


China (PRC)Cross-IndustryFinance and InsuranceGovernmentRetailFacial Detection/Recognition/ClassificationImage/Object Detection/Recognition/ClassificationSmart CityOn-premise (Private Cloud, Other)Intel® Xeon® Scalable ProcessorModels cant be re-trained - Inference onlyLinux ResNet50Deep Learning