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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 |