Intelligent Temperature Measurement Face Recognition Contactless
Safety Detection Machine
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 HD
large screen, millisecond response speed, intelligent dynamic
recognition.
3. Baidu face algorithm ensures fast and accurate
temperature measurement, the passing speed of face recognition is
less than 1 second, the recognition rate of 1:1 comparison is more
than 99.7%, the false recognition rate is 0.1%, the accuracy rate
of living detection is 98.3%, and the false rejection rate is 1%.
Information display, portrait storage, large capacity storage,
dynamic face recognition, 30000 face storage, 1 million records,
multiple recognition functions, face or swipe card, etc., open
stranger visit records, no matter whether there is information
collection or not, all the access records will be recorded.
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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