Binocular Camera Intelligent Face Recognition Thermometer For Hotels
8 Inch Binocular Camera Of Intelligent Face Recognition Temperature Measuring Machine
Product Features
1. Intelligent face recognition and temperature measurement machine: live detection, mask recognition, accurate contrast, body temperature detection, rejection of photos, secondary development.
2. Baidu face algorithm is adopted to ensure fast and accurate temperature measurement.
3. It supports face recognition and comparison when wearing masks.
4. Human body temperature detection, temperature display function, abnormal body temperature automatic alarm.
5. Portrait storage, information collection: large capacity storage, open stranger visit records, regardless of whether there is information collection access records will be recorded.
6. 10 point capacitive touch, flexible operation: 8-inch IPS full view LCD display, resolution 1080 * 1920, backlight brightness 450cd / m ².
7. Smooth operation, no stuck: when no temperature measurement, the background stops running, refuse to crash, stuck and hot.
8. Ingenuity manufacturing: every bright spot is a sincere work, heat dissipation way, motherboard pasted aluminum alloy back cover, fast heat dissipation.
9. Turn milling rear cover: higher precision than traditional die casting.
10. Avoid cross infection: binocular detection, fast pass, avoid the risk of fingerprint punch out cross lifting.
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 |
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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 |
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NIR:850nm Infrared LED light,IR Camera fill light source,SDK with control interface |
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| 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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