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Q-FACE PRO

High-End AI Facial Authentication Module

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Q-Face Pro module as a flagship model of the Q-Face series provides a complete high-performing facial authentication solution and QR code detection. These features are backed by industry-proven in-house AI-enabled facial authentication algorithms, un-hackable user data security at a dedicated secure element, and unrivaled hardware reliability. ​

 

Also, the Pro OEM Module’s developer-friendly integration tools including necessary documents, SDKs, and an online technical support channel help quick and stress-free integration.

FEATURES

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Fast and Smart AI Optimized for Facial Authentication Access

  • NPU-optimized AI algorithm offers the highest standards
    in facial authentication accuracy and speed

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Protected Against Facial Spoofing

  • Detect fake faces, images, and photos to safeguard against facial spoofing

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Non-stop Pass Through

  • Accurately and rapidly recognize moving faces in the high traffic areas

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QR Detection for the extendibility of applications​

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​Compatible with Facial Variations

  • Use dynamic face templates to increase matching performance with faces wearing masks, glasses, hats, beards, different hairstyles, etc

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Developer-Friendly Integration Tools for Easier Integration

  • Android, Windows, and Linux SDKs

  • Running On-line technical support channel

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​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

Specification

General

CPU

Quad-core ARM Cortex-A7 32bit 1.5Ghz NPU (up to 2TOPS)

Communication Interface

USB 2.0

Power Consumption

< 5W (max)

Power Supply

DC 5V 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

OS

Device (Module)

Linux

Host

Supports Windows 10 or later
/ Android 8.0 or later / Linux kernel v4.X or later

Sensor

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

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

Secure Element

Storing encryption key

Template & Channel Encryption

• AES256 (FIPS197 validated algorithm),

• ED25519 (key exchange algorithm)

Other

QR Code Detection

Yes

Certifications

CE, FCC, RoHS, REACH, WEEE

Applications

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Access Control

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Time & Attendance

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Doorlock

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Safety

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Mobile POS

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Vending Machines

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IoT

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