Q-Face Series
Q-Face OEM module series are stand-alone facial authentication 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 authentication 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 |
Features
Fast and Smart AI Optimized for Facial Authentication Access
NPU-optimized AI algorithm offers the highest standards in facial authentication 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 Authentication Access
NPU-optimized AI algorithm offers the highest standards in facial authentication accuracy and speed
Design Details
Sepecification
General
| 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 |
Sensor
| 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 |
Certification
| Item | Description |
|---|---|
| Certification | CE, FCC, RoHS, REACH, WEEE |
Applications
Biometric access control for highly secured areas
