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.
General
Processor
Quad-core Cortex-A7@1.5GHz, 1.2 TOPS (INT8)
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 to 90% RH
Dimensions (L*W*H)
62 * 38 * 25.3 (mm)
Optical & Image Parameters
Camera Type
Visible light
Near-infrared
Field of View
D=73°; H=65°; V=40°
Image Resolution & Frame Rate
720*1280@25fps
480*640@25fps;
720*1280@25fps
480*640@25fps
Wide Dynamic Range
105dB
Distortion
≤ 0.5%
Default Output Format
MJPEG;
NV12
Luminance
0.01 lux to 50,000 lux;
0.01 lux to 20,000 lux
Operating System
Windows
Windows XP / Windows 7 / Windows10 (32-bit or 64-bit)
Android
Android 4.1 or above
ZKLiveFace Algorithm
Angle Tolerance
Yaw ≤ ±30°, Pitch ≤ ±30°, Roll ≤ ±30°
Face Capacity
50,000 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 = 0.01% when FRR = 1%, FAR = 0.0001% when FRR = 5%
ZKPalm Algorithm
Yaw ≤ ±30°, Pitch ≤ ±30°, Roll ≤ 30°, Bend ≤ 20%
Palm Capacity
6,000 for 1:1 and 1:N comparison
Palm Recognition Accuracy
FAR=0.001% when FRR=0.68%
Certifications
CE, FCC, RoHS
Module Differentiation
FA50RN (Capture Module), FA50M (Facial Recognition Module),
FA51M (Facial and Palm Recognition Module), PV50M (Palm Recognition Module)
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