Zkteco FA50RN / FA50M / FA51M / PV50M

FA50RN, FA50M, FA51M, and PV50M are binocular camera modules designed based on high-performance heterogeneous processors. The binocular camera module has built-in facial and palm recognition algorithms. Facial recognition algorithm helps in face detection, alive body detection, mask detection, and can recognize the age, gender, emotional expressions, and identity of a user with his/her face. On the other hand, the palm recognition algorithm supports palm detection, alive body detection for palms, and user identification with palms.

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Zkteco FA50RN / FA50M / FA51M / PV50M

GeneralProcessorQuad-core Cortex-A7@1.5GHz, 1.2 TOPS (INT8)
Image SensorTwo 1/2.8’’ 2MP HDR CMOS
CameraM8; 2MP; using Visible Light or Near-Infrared light
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 Rate
Wide Dynamic Range105dB105dB
Default Output FormatMJPEGNV12
Luminance0.01 lux to 50,000 lux0.01 lux to 20,000 lux
Operating SystemWindowsWindows 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 Accuracy
Age (±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 Differentiation
FA50RN (Capture Module), FA50M (Facial Recognition Module),
FA51M (Facial and Palm Recognition Module), PV50M (Palm Recognition Module)
Zkteco FA50RN
Zkteco FA50RN