Intelligent Infrared Face Detection Attendance Punch In Machine
Product Features
1. Cloud management, safety and reliability: cloud
management, remote query and export attendance records, face
recognition records, temperature measurement records, remote import
of face pictures, to protect the community, campus and other crowd
intensive occasions, timely find high-temperature crowd, prevent
unexpected. Abnormal voice alarm, abnormal temperature, without
mask and other abnormalities will send out abnormal alarm sound,
with clear sound, no delay and noise.
2. Application scenarios and diversified products are
applied flexibly in many scenarios. Visitor registration, site
attendance, office check-in, hotel management, outdoor gate,
personnel card comparison, etc. The recognition speed is fast to
0.2 seconds, the recognition rate is 99.7%, and strangers warn.
Support Wigan output and adjust recognition distance.
3. It is equipped with gate machine, fast detection,
image collection, face detection, face tracking, face comparison
and living judgment. The spray disinfectant is equipped with
vertical disinfectant, loaded with disinfectant, palm facing the
nozzle, the machine automatically detects human hands, and the
disinfectant is sprayed out in the form of spray. The main board is
made with aluminum alloy back cover, which has fast heat
dissipation and milling back cover, which is more accurate than
traditional die casting.
Applicable to office areas, hotels, office buildings, schools,
shopping malls, shops, communities, public services and management
projects that need to use face access control places.
Technical parameter: | Screen | 8 inch | | Overall size | Long 284* width 140*high29mm | | processor | High performance 32 bit 4 core ARM chip | | Storage memory | 16GB | | Measurement mode | Infrared thermal imaging temperature measurement | | Measuring distance | 0.3m~1m(suggest 0.5m) | | communication method | TTL | | Temperature measurement accuracy | ±0.2℃~±0.4℃ | | Operating temperature | -20~65℃ for | | Storage temperature | -40~65℃ for | | Power supply | 3-5V | | Electric current | 2ma | | Baud rate | 9600/115200 | | Default automatic output frequency | 14Hz | | Wavelength range | 8~14µm | | Temperature output | parallel output at any time | | Temperature correction | Manual and automatic calibration | | Alarm threshold | Adjustable | | Wiegen interface | Support weigen 26 weigen34 | | Other interface | 232 TTL WIFI RJ45 | | Type | Can be wall-mounted, desktop, vertical, gate |
camera | 200w:USBConnector,Binocular wide dynamic,Glare | | Aperture 2.8,Focal length 1.6mm,Angle of view 130°,TV
distortion<-5%,Photosensitive area size1/5-inch | | Pixel:meet customer’s need,≥2 million pixels | | Assembly angle: flat out | | Image Sensor | 6mm Focal length,F2.4 Aperture | | Fill light | LED:white light,RGBCamera fill light,SDK with control interface | NIR:850nm Infrared LED light,IR Camera fill light source,SDK with control interface | | Operating system | Android 6.0.1 or above | | Input power | 12V2A | | Backlight identification illuminance | <6000Lux | | Effective identification distance | 0.5m-4m | | working environment | Indoor,outdoor(With rainproof frame),10~90%(Non-condensing) | | Operating temperature | -20℃~+55℃ | | Card reading speed | 0.2S | | Matching | | ID card reader | Support second-generation ID card identification function, SDK
contains control interface | | LTE Function | Support 4G full Netcom Internet access function |
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