Suprema AI.

Q-Face Series

AI Face Recogniton Solution

Q-Face Series

Q-Face OEM module series are stand-alone facial recognition systems ideal for Edge AI embedded system applications where the most trusted touchless biometric security is required. Specifically, the modules are designed for manufacturers and system integrators seeking safe, reliable, and best-performing facial recognition systems that are environment-friendly, and easy-to-integrate, with flexible form factor capabilities.

Q-Face OEM Module Series

Model Name Description Applications
Q-Face PRO High-end Standalone module High-end Access Control/Time Attendance, Kiosk

Face SDK (License based)

Model Name Description Applications
Q-Face Engine Algorithm for Edge Device Access Control/Time Attendance, CCTV
Q-Face Mobile Algorithm for Smartphones Smartphones for eID and NID demands
Q-Face Cloud Algorithm for Server and Cloud Authentication server


Fast and Smart AI Optimized for Facial Recognition Access
NPU-optimized AI algorithm offers the highest standards in facial recognition accuracy and speed

Compatible with Facial Variations
Use dynamic face templates to increase matching performance with faces wearing masks, glasses, hats, beards, different hairstyles, etc.

Protected Against Facial Spoofing
Detect fake faces, images, and photos to safeguard against facial spoofing

Non-stop Pass Through
Accurately and rapidly recognize moving faces in high-traffic areas

Reinforced user privacy and biometric data protection
Embedded with U.S NIST FIPS197 validated AES256 and ED25519 key exchange algorithm
Embedded with Secure Element(SE) that stores encryption key to prevent cyber-attacks

QR Detection for the extendibility of applications
Sophisticated visitor management by QR code detection

Developer-Friendly Integration Tools for Easier Integration
Android, Windows and Linux SDKs
Running on-line technical support channel

Fast and Smart AI Optimized for Facial Recognition Access
NPU-optimized AI algorithm offers the highest standards in facial recognition accuracy and speed

Design Details

Q-Face Pro



Item Description
CPU Quad-core ARM Cortex-A7 32bit 1.5Ghz NPU (up to 2TOPS)
Communication Interface USB 2.0
Power Consumption < 5W (max)
Power Supply DC5V 1A
Operating Temperature -10°C ~ 50°C
Operating Humidity 0 ~ 90% RH
Dimension 92mm x 30mm x 17mm (W x H x D)
Heat Sink Control By designed steal panel and power management logic in S/W
Communication protocol UVC & RNDIS protocol ( video streaming and control module ) / UART ( commands only )
Luminance 0.01 lux to 65,000 lux

Operating System

Item Description
Device (Module) Linux
Host Supports Windows 10 or later / Android 8.0 or later / Linux kernel v4.X or later


Item Description
Camera System Dual camera system ( RGB + IR ), 1/2.8 CMOS, 4EA IR LED ( 850nm )
Angle of view Vertical viewing angle of 65°
Image Resolution (W*H) 720*1280

Biometric Performance

Item Description
Anti-spoofing Yes
Capacity 1:N : 50,000 users (max) / 1:1 100,000 users (max)
Accuracy FRR 1% @ FAR 0.000001% (1/100,000,000)
Recognition Distance 0.5m ~ 1.3m
Recognition Time Total : < 500 ms , - Face Detection : < 50ms, - Recognition (Extraction + Matching) : < 450ms ( less than 300ms @1:10,000 users )

Data Security

Item Description
Secure Element Storing encryption key
Template and Channel Encryption AES256 ( FIPS197 validated algorithm ), ED25519 ( key exchange algorithm )

Additional Features

Item Description
QR code detection Yes


Item Description
Certification CE, FCC, RoHS, REACH, WEEE


Biometric access control for highly secured areas

Q-Face Pro