Intelligent Face Recognition Binocular Infrared Automatic Accurate
Temperature Measurement
Product Features
1. Product parameters: attendance machine type: voice,
multi-functional integration; Attendance authentication method:
face recognition; Face recognition, fast temperature measurement,
high temperature alarm. Factory direct sales, three-year warranty,
180 day replacement. Industrial level motherboard, running
smoothly, not stuck, unattended temperature measurement when the
background shutdown, refused to crash heating stuck.
2. Accurate temperature measurement, abnormal warning, 1.2m
long-distance temperature measurement, fast temperature measurement
speed, automatic early warning of abnormal body temperature,
accurate distance measurement by ultrasonic sensor, infrared
scanning, automatic face lighting, fast recognition without fear of
night, not affected by strong light, and accurate recognition of
high-definition imaging. 7.8-inch high-definition large screen,
temperature measurement speed within 1 second, intelligent
recognition of human face, dynamic temperature measurement,
real-time capture, real-time saving of passing personnel, and
saving in the database.
3. With the gate, fast detection, set image acquisition, face
detection, face tracking, face contrast, living judgment in one.
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. Every bright spot is made with sincerity.
The motherboard fits the aluminum alloy back cover with fast heat
dissipation. Turning and milling the back cover has higher
precision 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 |
