Product Description:

1.Adopting the world's leading video stream-based dynamic face detection tracking recognition algorithm, combined with high-performance embedded platform and 2 million pixel binocular wide dynamic camera, accurately realize face detection, tracking, recognition and display on 7-inch screen

2.Support 1:N mode face comparison and 1:1 human ID comparison, dynamic binocular + live detection anti-counterfeiting, completely solve all kinds of photo and video deception;

3.Using Android RK3288 mature program, support 10000 face capacity, to meet the needs of most places;

4.Using binocular wide dynamic camera,suitable for indoor and outdoor glare/back-lighting environments, an effectively avoid the effect from light, glasses, etc; in the case of good light environment can identify the face of 5 meters farthest, face comparison time is about 0.1ms.

5.High-grade aluminum alloy metal shell + tempered glass panel, CNC finishing and high-light processing, showing noble temperament, and good heat dissipation.

6.Self-contained brake bracket, conforms to the 86 bottom box hole for easy installation on the wall.

6.Rich hardware interface: serial output, Wiegand output, relay switch output, alarm input, USB, RJ45 network port, WiFi communication;

7.Provide self-developed management background software, perfect software functions: equipment management, personnel/photo management, authority management, record viewing, real-time monitoring, attendance management, etc., which can provide interfaces for secondary development.

Detailed introduction

Technical parameters:

Software:

1.C/S and B/S for choice, it can be deployed separately or in groups; multiple encryption technologies ensure accurate and secure data

2.Powerful and practical software: equipment management, personnel/photo management, authority management, record viewing, real-time monitoring, attendance management, etc., which can provide interfaces for secondary development.

3.Support stranger detection, recognition level, recognition distance, front-end device UI interface configuration; support for face recognition or scene photo saving when stranger detection;

4.Support a variety of recognition modes: brush face, swipe, card + face, person card comparison; support software login interface and header customization.

Usage:

Entrance and exit channels for face recognition, such as: government, schools, hospitals, banks, clubs, clubs, stations, terminals, enterprises and institutions, residential areas, intelligent buildings, etc.