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  • F5-ZJ Binocular Camera Face Recognition Terminal
  • F5-ZJ Binocular Camera Face Recognition Terminal
  • F5-ZJ Binocular Camera Face Recognition Terminal
  • F5-ZJ Binocular Camera Face Recognition Terminal
  • F5-ZJ Binocular Camera Face Recognition Terminal
  • F5-ZJ Binocular Camera Face Recognition Terminal

F5-ZJ Binocular Camera Face Recognition Terminal

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  • Product Parameters
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Rakinda F5 is an android biometric face recognition terminal with an infrared sensor and face recognition camera. It equipped with 8-inch touch screen, 1280*800 and HDR front camera.

In addition, Our F5 provides face recognition SDK for secondary development, comes with baidu algorithm. And we also have the self-developed independent face recognition management platform.

F5-ZJ Binocular Camera Face Recognition Terminal

Product Features:

- QR Reading & Card Reading & Face Recognition All in One

- Infrared Binocular Camera to Support Live Detection 

- Binocular Camera with RS232,USB 2.0,Relay Output

- Independent Software Management Platform by Supporting Multiple Languages

- Multi-system with Mass Storage Space & 99.9% Recognition Accuracy

- Support Online & Offline Version for Customer Flexible Choice

- Optional Designs for Choice--Wall Mounted & Turnstile Fixed Model 

- 3D TOF Super Scanning with Highest Security & Integrating Baidu Algorithm


F5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition Terminal


Fast recognition:

- Face tracking and detection takes about 20ms.

- Face feature extraction takes about 200ms.

- In vivo detection of face comparison time 0.6ms (1000 people library, multiple recognition average), 0.8ms (10000 people library, multiple recognition average).

F5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition TerminalF5-ZJ Binocular Camera Face Recognition Terminal


Application Scenario:

F5 device could use for attendance and visitor system , applied in: Office building,Hospital,School library,Student dormitory,Classroom Hotel, Gym, Factories, Conference room, Institute of Science, etc. where face access is required.

F5-ZJ Binocular Camera Face Recognition Terminal


Three versions of this face recognition device

F3F5F6
F3 Face Recognition Terminal Access Control SystemF5-ZJ Binocular Camera Face Recognition TerminalCustomized Model (Can be designed thinner)
Android 7.0Android 7.0Android 9.0
DDR3DDR3DDR4
CPU: 6 coresCPU: 6 coresCPU: 8 cores
RAM: 2GBRAM: 2GBRAM: 3GB
ROM: 8GBROM: 8GBROM: 16GB
3D TOF TechnologyInfrared Binocular3D TOF Technology + APU +4G
Standard DeviceStandard DeviceCustomized


Face Recognition Terminal Product Parameters
ScreenSize8", full viewing angle, 170° IPS LCD
Resolution800*1280
CameraTypeRGBTOF
Resolution (horizontal × vertical)Support 1080P/960P/720P/VGA640× 480 Pixel
Field of view (horizontal × vertical)74° × 56° @960P (Default)80° × 60°
63° × 37° @1080P
74° × 42° @720P
74° × 56° @VGA
Frame rate (FPS)Maximum 30FPS @960P/720P/VGA Up to 15FPS @1080PMAX 30FPS
Detection distance (unit: meter)0.35-1.2
light source850nm VCSEL
Working temperature (degree Celsius °C)0℃-50℃
Core parameterCPU6 cores, clocked at 2.0GHz
RAM2G
ROM16G
OSAndroid 7.1.2
PartsFill lightInfrared, LED fill light
Network moduleSupport wired, wireless (2.4GWi-Fi), wireless (USB external)
Bluetooth Module4.0
4G communication moduleOptional (built-in or external)
ID card readerOptional (built-in or external)
GPSOptional (built-in or external)
PortUSBUSB2.0 1
RD232RS232 serial port, 2.5mm terminal block 2P
Relay output2.5mm terminal block 3P
Wiegand interface2.5mm terminal block 3P, support Wiegand 26
Wired network interfaceRJ45 Gigabit network
General parametersIP ProtectionIP54
PowerDC12V (±10%) /3A
Operating temperature-20℃ ~70℃
Working humidity10%~90 %
Power consumption22W MAX
Installation methodWall bracket installation, gate bracket installation
Equipment size245.5mm*123.2mm*121.96mm
Weight≈1050g
0.3675s