Products > Smart Identity > Smart Terminal > Biometrics Module > FA50R / FA50MC / FA51MC / PV50MC Face&Palm Recognition Module

FA50R / FA50MC / FA51MC / PV50MC Face&Palm Recognition Module

Face&Palm Recognition Modules with binocular cameras. 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. Features: 2MP dual-sensor HDR CMOS camera using Visible Light or Near-Infrared light; detection distance: facial recognition - 50cm to 200cm, palm recognition - 15cm to 40cm; illuminance of 0.01 lux to 50,000 lux for facial recognition, 0.01 lux to 20,000 lux for palm recognition; SDK available, supporting 3 primary OS (Windows, Android & Linux).

Description

Features

Downloads

FA50R, FA50MC, FA51MC, PV50MC are binocular cameras 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.

Module Differentiation: FA50R (Capturer), FA50MC (Face Capturer), FA51MC (Face and Palm Capturer), PV50MC (Palm Capturer)

Features

  • 2MP Starlight HDR Dual-sensor with WDR up to 105dB
  • Detection distance: Facial recognition - 50cm to 200cm, Palm recognition - 15cm to 40cm
  • Provides combination recognition method of facial and palm identification
  • Illuminance of 0.01 lux to 50,000 lux for facial recognition, 0.01 lux to 20,000 lux for palm recognition
  • Built-in near-infrared fill light and intelligent switch control based on an image detection algorithm
  • A thorough SDK available, supporting 3 primary OS (Windows, Android & Linux)
  • Image transmission carried out by the UVC protocol
  • Comparison and results are delivered through HID protocol
General
Processor
Image Sensor
Two 1/2.8’’ 2MP HDR CMOS
Camera
M8; 2MP; using Visible Light or Near-Infrared light
Communication Interface
USB 2.0
Communication Protocol
UVC & HID protocol
Power Supply
DC5V 1A (min.)
Operating Temperature
-10°C to 50°C
Operating Humidity
0-90% RH
Dimensions (L*W*H)
80*44.4*29.78mm
Field of view
D=73°; H=65°; V=40°
Image Resolution & Frame Rate
720*1280@25fps 480*640@25fps
Wide Dynamic Range
105dB
Distortion
≤0.5%
Default Output Format
MJPEG
Luminance
0.01 lux to 50000 lux
Operation System
Windows
Android
Android 4.1 or higher
ZKLiveFace Algorithm Angle Tolerance
Yaw ≤ ±30°, Pitch ≤ ±30°, Roll ≤ 30°
Angle Tolerance
Yaw ≤ ±30°, Pitch ≤ ±30°, Roll ≤ ±30°
Face Capacity
50000 for 1:1 and 1:N comparison
Face Features Recognition Accuracy
Age (±5 y/o) > 85% Gender > 96% Emotional expression > 88%
Facial Recognition Accuracy
FAR=0.0001% when FRR=5%, FAR=0.01% when FRR=1%
ZKPalm Algorithm Angle Tolerance
Yaw ≤ ±30°, Pitch ≤ ±30°, Roll ≤ 30°, Bend ≤ 20%
Palm Capacity
6000 for 1:1 and 1:N comparison
Palm Recognition Accuracy
FAR=0.001% when FRR=0.68%
Certifications
CE, FCC, RoHS
Module Differentiation
FA50MC (Face Capturer), FA50R (Capturer), FA51MC (Face and Palm Capturer), PV50MC (Palm Capturer)
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FA50R, FA50MC, FA51MC, PV50MC Size 1.50 MB 15.04.2022

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