RFID IR Kiosk Face Recognition Thermometers Access Control System

RFID IR Kiosk Face Recognition Thermometers Access Control System

8 Inch Human Body Ir Temperature Measurement Kiosk Door Access Control System With Facial Recognition

Face Recognition Device Body Temperature measurement Thermal Camera visitor management system

(8-inch ultra-thin) (Model No:CSXT-FR2)

Product Introduce

High recognition rate Security access control face recognition machine

The integrative terminal of face recognition uses the world's leading face detection and recognition algorithm, runs it in high performance embedded platform, coordinates 200W pixel camera, realizes face detection, face tracking, and face recognition. And it can present the corresponding feedback on the screen. the farthest can recognize the human face as far as 1.5 meters, and face tracking and detection takes about 20ms. Face feature extraction takes about 300ms; face comparison takes about 0.1ms.

And it has good robustness to light and wear glasses and so on. This product can be equipped with RFID card module, so the system can be realize to use card and face recognition. This product supports a variety of hardware functional interfaces (including: HDMI high-definition output, serial port input/output, network interface/ Wi-Fi access); It has a complete software interface (including: device management, personnel/photo management, record view, etc.).

At the same time, this product can connect with the company developed a variety of applications, such as: attendance system, access control system, visiting system, real name certification.

Application scene

Suitable for office area, gate passage, hotel, office building, school and other places where face recognition gate is needed.

Product Features

1. Support external HDMI large screen;

2. Support external ID card / RFID reader;

3. Support serial port input and output, support Wiegand output, output content supports configuration;

4. Support the RFID card , can also achieve the integration of human cards;

5. Dynamic face detection based on video stream and tracking recognition algorithm are adopted;

6. Support to store 30, 000 face photos, 5 million recognition records;

7. The accuracy rate of 1: N recognition is high (99.7% under 97% pass rate).

8. Recognition speed is fast, face tracking and detection takes about 20ms time, facial feature extraction takes about 500ms, and face comparison takes about 0.1ms.

9. Support stranger detection, stranger level can be configured;

10. Support face recognition or stranger detection of the scene of the photo preservation;

11. Support interface docking;

12. Support customization;

13. Support screen display content configuration;

14. Support identification distance configuration

Real Product Photo