HUSHIDA F2 Series Face Access Control 8 Inch With Binocular Camera
Product Description:
1. Partition positioning, sound and column alarm simultaneously:
six overlapping detection areas are combined with high-brightness
LED alarm indicators as high as the human body to accurately
determine the position of metal objects.
2. 360°omnidirectional detection: four corresponding infrared
transmitter and receiver, eliminate detection dead Angle.
Product Features:
● Use binocular 1.3 million high-definition wide-angle wide-dynamic
camera to support anti-fake photos and videos; use deep learning
algorithm to support 20,000 white list of faces, fast recognition
speed, high accuracy rate;
● The device supports face, fingerprint, credit card, password, or
a combination of each other. 1: N face comparison time is 1S;
● The device supports sending cards or face data through the TCP /
IP network platform or USB, and supports stand-alone operation;
● The device supports external access control host or Wigan card
reader through the international standard Wigan protocol (W26 W34);
● The safety gating module can be connected via RS485, and the
safety gating module can be connected to the electric control lock.
The door will not be opened if the host is maliciously damaged;
● The device can output a fixed voice prompt for the authentication
result;
● With watchdog guard mechanism to ensure the stable operation of
the equipment;
| Specification | 8 inches |
| Front frame | Aluminum alloy front frame + tempered glass |
| Rear shell | High-quality cold-rolled sheet |
| Color | Black |
| Net weight | 1kg (excluding post) |
| Gross weight | 1.1kg (excluding column) |
| Overall size | 248 (W) × 141 (H) × 2.9 (D) mm |
| Power input | DC12V / 3A |
| Horn filter | 2X3W4Ω |
| Overall power consumption | 30W |
| Standby power consumption | 1W
|
| CPU | Rockchip RK3288, quad-core ARM Cortex A17 1.8GHz |
| GPU | Quad-core ARM Mali-T764 MP |
| RAM | LPDDR3 1G ~ 4GB (optional) 2GB standard |
| Built-in storage capacity | EMMC8GB / 16G / 32G optional (optional, standard 8GB) |
| Camera | Binocular 130W3. Sensor size: 1 / 2.7 ”CMOS sensor |
Application Of Face Recognition Machines
The intelligent temperature measuring machine can be installed in
the main entrances of crowded places such as enterprises,schools,
hotels, shopping malls, office buildings, banks, government halls,
etc., to monitor the temperature of employees, customers, and
visitors in real time, effectively helping to prevent epidemics.
Facial Recognition To Measure Temperature
It is based on infrared thermal imaging technology, using imported
infrared sensor and 2-megapixel binocular live wide dynamic camera,
face recognition within a distance of 0.3 m-0.5 m while collecting
body temperature. It works even if you wear a mask on your face,
better prevent cross-infection.
