FA51M

  • Embedded biometric module with deep learning, face and palm recognition
  • Binocular camera
  • Alive body and mask detection
  • Age, gender and emotional expressions recognition

FA51M: Embedded Biometric Module with Deep Learning, Face and Palm Recognition

FA51M is a binocular camera with a high-precision face and palm 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 FA51M 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
    - Palm Recognition - 15 cm to 40 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
480*640@25fps480*640@25fps
Wide Dynamic Range105dB105dB
Distortion≤0.5%≤0.5%
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
Recognition ModuleFacial and Palm Recognition Module

Data Sheet

Download Date Files
FA50 Series Installation Guide 07/06/2021
FA50M/FA51M/PV50M Data Sheet 26/04/2021
AttachmentSize
fa50rn-fa50m-fa51m-pv50m_datasheet.pdf480.82 KB

Quick Start Guide

Download Date Files
Biometric modules Product Catalogue 2021 ZKTeco Europe 26/04/2021
AttachmentSize
biometric-product-catalogue_eu_2021.pdf815.58 KB