Deep learning helps face recognition technology continue to heat up.

Face recognition is not a new term for the application of access control. Many enterprises are using face recognition to check attendance.

Different from traditional single face recognition based on embedded platform, a new generation of most face recognition algorithm based on high density GPU architecture hardware, which adopts the technology of deep learning so that it can realize functions of human face modeling, alignment, retrieval, and others.

Integration and innovation bring new opportunities to access control

Access control system also brings a better experience for users, and the most typical of which is the mobile APP. With the increasing popularity of smartphones, more and more users want to control security devices via mobile phones.

If a system deploys multiple platforms, it usually means that the end users need to install multiple apps on the phone to control each subsystem individually.

Compared with the multiple platforms, commonly connecting to a comprehensive security management platform can realize the true system integration solutions and the correlation between each subsystem which is attractive. And this has also become users’s expecting solution.

Under the drive of integration and innovation, the access control products have been rapidly developed from the original applicants of one-card access control system to the new technologies such as biometrics, big data and deep learning.

The new technologies not only quickly breaks through the original technical barriers and sets up new industry technical standards, but also opens up a wider application space for the products and even the security industry.