8 Inch Face Recognition Temperature Measuring Machine Face Attendance Gate Punch
Product Features
1. Binocular wide dynamic, face recognition access control / attendance / visitor machine.
2. LCD with backlight control, large capacity face local storage and recognition, intelligent control of light on and off, 24 hours long time stable work.
3. Vertical standard: column height 110cm, base with adjusting screw, cold rolled plate environmental protection paint.
4. Powerful technology to meet the needs of multiple scenes: face recognition, fast temperature measurement, voice abnormal alarm.
5. Fast detection, mask recognition: non contact, in vivo detection, refused to punch in, the best temperature detection distance is 0.5m.
6. Precision era, different everywhere: automatic temperature algorithm of artificial intelligence technology, automatic alarm of high temperature, accuracy of thermal temperature measurement ± 0.3℃.
7. It is widely used in a variety of scenes: gate channel temperature detection, fast personnel flow scene, small area scene.
8. Face recognition is more accurate due to its anti clock and wide dynamic camera.
9. The support is stable and not easy to trip: the tripod bottom pillar can be used by inserting the power supply or network cable. The operation is simple and can be guided by remote technology.
10. Industrial motherboard, smooth operation, not stuck: no temperature measurement when the background shutdown, refused to crash heating stuck.
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 |