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Android based F803 facial recognition terminal used for payment

Android based F803 facial recognition terminal used for payment

Model No.
F803
CPU
Quad-Core, RAM 2G, 1.8GHz
Memory
EMMC 8G
Price
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F803
Product F803 with gateway and access control system is applicable to residential district, school,
hotel, scenery spot, transportation junction and other public infrastructure.
The product uses industrial grade binocular camera and live detection technique.
It is a high-performance and reliable product, supporting various peripherals like fingerprint device.


Model TypeF803
CameraResolution200W pixels
TypeBinocular wide motion camera
Focal distance50-150CM 
White balanceAutomatic
DisplaySize8 inch IPS LCD
Resolution800x1280
ProcessorCPUQuad-Core, RAM 2G, 1.8GHz
MemoryEMMC 8G
AccessaryFill lightDual fill lights: LED+infrared light
InterfaceInternetEthernet、WiFi
SpeakerSupport 2W/8R
USB USB OTG*1, USB HOST standard A*1
SCIRS232*1, RS485*1
RelayOpen output*1
WiegandWiegand 26/34 output*1,Wiegand 26/34 input*1
Upgrate buttonUboot upgrate botton
WIREDRJ45 Ethernet receptacle*1
FunctionFacial detectionMulti-detection
Face databaseMaximun 20k
1:N Facial recognitionSupport
1:1 Facial comparisionSupport
Strangers monitoredSupport
Identification range customizeSupport
UI customizeSupport
Remote upgradeSupport
InterfacesIncludes device management、Staff/Photo management、Record review, etc. 
Deployment methodPublic cloud deployment、Privatization deployment、LAN、Stand-alone mode
General SpecificationDegree of protectionIP65,a certain degree of waterproof and dustproof
PowerDC12V(±10%)
Working Temperature﹣10℃~60℃
Storage TemperatureStorage Temperature -20℃~60℃
Power dissipation13.5W(Max)
InstallationWall-mount brackets、Gate bracket installation
Dimension238.24*128*21.48(mm)
Weight2.5kg




Full angle 8 inches IPS LCD
Industrial grade design with waterproof and dustproof function. Stable and reliable.
20000 Face capacity. 1:1 recognition can be 99.7% accurate or above. 1:N recognition can be 96.7% accurate or above (Error rate is under 0.1%).
Live detection could be 98.3% accurate or above (Error rate is under 1%). Facial recognition can be finished within 1 second.
Binocular wide motion camera; dual fill lights includes LED and infrared light.
Powerful quad-core processor, 1.8GHZ.
Multiple Peripherals supportable, including NRIC reader, biomini, IC reader, QR reader, etc.
Support: system level, APP off-line level, APP+ background network level API docking; document improvement; secondary development.










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