• USB biometric reader with deep learning, face recognition
  • Binocular camera
  • Alive body and mask detection
  • Age, gender and emotional expressions recognition

FA50MC: USB biometric reader with Deep Learning, Face Recognition

FA50MC is a binocular camera with a high-precision face recognition module that combines image capture, template extraction and identification. The module has a built-in visible light face recognition algorithm that supports face property recognition, live body detection, face capture, face tracking, etc. 

The FA50MC performs algorithm calculations at the device and can use JPG images to register directly. Combines with a rich software development interface, the integrated face recognition function can be realized in a low-configuration application platform, which is widely used in attendance, access control, passages and other fields.

  • 2MP Starlight HDR Dual-Sensor with WDR up to 105dB
  • Detection distance: Facial Recognition - 50 cm to 200 cm
  • Provides a combination recognition method of facial and palm identification
  • Illuminance of 0.01 lux to 50,000 lux for facial recognition
  • Age, gender and emotional expressions recognition algorithm
GeneralProcessorQuad-core Cortex-47 up to .5G, 1.2 TOPs for INT8
Image SensorDual 1/2.8” HDR CMOS, 2MP resolution, supports RGB+IR
Communication InterfaceUSB 2.0
Communication ProtocolUVC & HID protocol
Power SupplyDC5V 1A (min.)
Operating Temperature-10°C to 50°C
Operating Humidity0 to 90% RH
Dimensions (L*W*H)62 * 38 * 25.3 (mm)
Optical & Image ParametersCamera TypeVisible lightNear-infrared
Field of ViewD=73°; H=65°; V=40°D=73°; H=65°; V=40°
Image Resolution & Frame Rate720*1280@25fps720*1280@25fps
Wide Dynamic Range105dB105dB
Default Output FormatMJPEGNV12
Luminance0.01 lux to 50,000 lux0.01 lux to 20,000 lux
WindowsWindows XP/ Windows 7/ Windows10 (32-bit or 64-bit)
AndroidAndroid 4.1 or above
ZKLiveFace AlgorithmAngle ToleranceYaw ≤±30°, Pitch ≤±30°, Roll ≤±30°
Face Capacity50,000 for 1:1 and 1:N comparison
Face Features Recognition AccuracyAge (±5 y/o) > 85%
Gender > 96%
Emotional expression > 88%
Facial Recognition AccuracyFAR = 0.01% when FRR = 1%, FAR = 0.0001% when FRR = 5%
ZKPalm AlgorithmAngle ToleranceYaw ≤±30°, Pitch ≤±30°, Roll ≤30°, Bend ≤20%
Palm Capacity6,000 for 1:1 and 1:N comparison
Palm Recognition AccuracyFAR=0.001% when FRR=0.68%
CertificationsCE, FCC, RoHS
Module DifferentiationFace Capturer

Data Sheet

Download Date Files
FA50R/FA50MC/FA51MC/PV50MC Data Sheet 26/04/2021