Hikvision has launched a range of groundbreaking face recognition terminals. Hikvision’s face recognition terminals are embedded with deep-learning algorithms for access control and office scenarios for improving building operations, workforce management and safety operations.Three face recognition terminal models are available, each one uniquely and flexibly designed for a wealth of applications and scenarios:
All three of these models are easy to install and use. The wall-mounted terminal is well-suited for quick access at an entrance. The base & wall-mounted terminal can be mounted on convenient vertical surfaces or on the front desk. The face recognition component is designed for use in conjunction with access turnstiles. If needed, this model can be rotated horizontally upon installation for capturing facial images at the most effective angle.
Various models and types are available with a wide variety of front-end or back-end combinations to meet a multitude of scenarios and environments. Hikvision’s face recognition terminals support 1:1 or 1:N matching modes, authentication via Mifare cards, and TCP/IP or RS-485 connectivity.Accurate and Fast Face Recognition
Hikvision has embedded Deep-Learning algorithms into its face recognition terminals, providing fewer transmission delays and a reduced load on backend components. As a result, the terminals have a high success rate – the face-capture rate can hit 99% accuracy at less than 0.5 seconds.
During rush hours, access turnstiles equipped with Hikvision’s face recognition terminals can respond in less than a half-second, passing up to 40 persons per minute.
DS-K5603-Z with access turnstile
Hikvision’s face recognition terminals apply to a wide variety of scenarios and environments and can be highly personalized. Multiple authentication modes are available: face images, swiping ID card and comparing images, custom modes, and more. Applications range from commercial real estate, government agencies, small to very large businesses or factories, just to name a few.