Liveness Detection

Liveness Detection Software

Q: What is Liveness Detection?

Liveness detection is the process of ensuring that the system is accessed by a live/real individual only. It prevents spoofing attempts i.e. someone trying to access the system with a face mask, photo or a deep fake video.

Q: How does liveness detection work?

Liveness detection analyzes real-time facial cues like blinking, head movements, and skin texture to confirm the user is a live person. It helps prevent spoofing attempts using photos, videos, or masks.

Q: What is 3D liveness?

3D liveness is an advanced form of biometric authentication, a technology that verifies your identity using unique physical characteristics. Unlike traditional methods that use 2D images (like a flat photograph), 3D liveness creates a three-dimensional map of your face which ensures you're not an imposter.

Q: What is a liveness check in KYC?

In Know Your Customer (KYC) processes, a liveness check is used to verify that the individual presenting their identity is physically present and real. It's a crucial step in remote or digital KYC to prevent identity fraud, ensuring that the identity documents are not being presented by an imposter.

Q: What is Anti-Spoofing or Presentation Attack Detection in Liveness Verification?

Anti-Spoofing Presentation Attack Detection in liveness checks is a security feature that identifies and prevents attempts to trick biometric systems using false representations, such as photos, videos, masks, or other artificial artifacts. It's essential for maintaining the integrity and reliability of biometric authentication systems.

Q: How Does Facia’s AI Liveness Detection Improve Biometric Verification Accuracy?

Facia’s liveness detection adds an extra layer of security by ensuring biometric data is captured from a real, present individual. This prevents identity fraud and enhances trust in authentication systems.

Customers In, Fraudsters Out with Ai Liveness Detection

Liveness detection with a built-in deepfake detection layer that identifies physical spoofs and AI-generated faces in real time.

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Trusted Partners

Liveness Detection Solution Built for Deepfake-Era Threats

Facia's liveness detection confirms a real person is present, not a spoof, mask, or AI-generated face. Powered by DeepLiveness, it layers deepfake detection into the same check on any device, so every verification stays secure at scale.

<1 Second Response
On-Prem and Cloud Integration
Lowest FAR/FRR
iBeta level 2 certified

Liveness Detection alone isn't enough
Meet DeepLiveness

Standard liveness confirms presence. DeepLiveness adds the most frictionless deepfake detection layer that confirms the face is real.

Our latest algorithm update reduced FAR to 0.06% and FRR to 0.3% - the lowest rates in the industry.

DeepLiveness - Multi Modal

RGB texture0%

Motion analysis0%

Depth mapping0%

Neural anomaly0%

Detection Coverage

0% of signals active

Presence confirmed and face verified as real. Synthetic identities detected and flagged in real time.

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Complete Protection against Deepfake Attacks

And 56+ other kinds of biometric spoofing attacks

Paper Mask

Our technology performs real-time analysis of the user's facial features.

2D/3D Silicone Masks

Our system cross-references the user's data with the database.

Wax Figures & Lifelike Dolls

If a match is found, the system promptly blocks the creation of a duplicate account.

Replay Attack

During sign-up, our system collects the user's registration data.

Injection attacks

Our system cross-references the user's data with the database.

Twins

If a match is found, the system promptly blocks the creation of a duplicate account.

View All Attacks

How Facia Liveness Checks Work

One look at the camera. That's all your users do. Everything else happens inside Facia's pipeline.

Passive, No prompts

Face Capture

3D depth + texture

Depth & Signal Analysis

56+ attack types

Spoof Detection

API response <1s

Instant Result

iBeta Level 2 certified

Works on any front-facing camera

Cloud & on-premise deployment

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Return on Investment with Facia Liveness Detection

We’re so confident you’ll do better with Facia, we made a whole calculator for you to see just how much better.

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Estimated total value created from switching to Facia*

*The Facia Value and Growth Calculator is designed to provide an estimate of potential savings and benefits when using Facia’s products and services as compared to other solutions in the market. The information provided is entirely voluntary and in providing it, it is assumed that whomever provides such information has the right to do so. The results presented by this calculator are based on the inputs provided by the user and are for illustrative and informational purposes only.

Active & Passive Liveness Detection

Facia’s offers both Active and Passive liveness detection, so you can get the best solution for your needs.

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Passive liveness detection operates in the background, detecting any signs of spoofing or manipulation without the need for user interaction.
Active liveness detection involves the system prompting the user to perform specific actions such as smiling, or turning their head, to check for liveness recognition

Facia DeepLiveness vs.
Standard Liveness Solutions

	2D Software	3D Software	Facia DeepLiveness
Dimensions	X, Y	X, Y, and Z	X, Y, and Time
Devices supported	All devices with selfie supporting camera	Limited	All devices with selfie supporting camera
Liveness Verification Time	5-10 seconds	2-5 seconds	1-2 seconds
Real-Time Deepfake Detection	No	No	Yes ( included in every check)
Working with face accessories
Identical Twin Differentiation
Liveness Threshold	Low-Medium	High	High
FAR/FRR	Non-deterministic due to variations; 1/ <75,000 at real world usable FRRs	1/1M - No FRR stated	Negligible FAR and FRR.
Certifications for Anti-Biometric Spoofing			iBeta level 1 and iBeta level 2 certified
Age estimation	Inaccurate age estimation due to single frame		Anonymous age estimation with confidence intervals on age ranges
Passwordless Authentication
Integration	Variable		Android, iOS, and REST APIs
Photo ID Matching	High false matches & false non-matches		0% false matches. Negligible false non-matches
Protection against injection attacks			100% Protection against Mobile Emulators and Virtual / Injected Camera Feeds

2D Software

Dimensions

X, Y

Devices supported

All devices with selfie supporting camera

Liveness Verification Time

5-10 seconds

Working with face accessories

Identical Twin Differentiation

Liveness Threshold

Low-Medium

FAR/FRR

Non-deterministic due to variations; 1/ <75,000 at real world usable FRRs

Certifications for Anti-Biometric Spoofing

Age estimation

Inaccurate age estimation due to single frame

Passwordless Authentication

Integration

Variable

Photo ID Matching

High false matches & false non-matches

Protection against injection attacks

3D Software

Dimensions

X, Y, and Z

Devices supported

Limited

Liveness Verification Time

2-5 seconds

Working with face accessories

Identical Twin Differentiation

Liveness Threshold

High

FAR/FRR

1/1M - No FRR stated

Certifications for Anti-Biometric Spoofing

Age estimation

Passwordless Authentication

Integration

Photo ID Matching

Protection against injection attacks

Facia

Dimensions

X, Y, and Time

Devices supported

All devices with selfie supporting camera

Liveness Verification Time

1-2 seconds

Working with face accessories

Identical Twin Differentiation

Liveness Threshold

High

FAR/FRR

0% FAR. Negligible FRR

Certifications for Anti-Biometric Spoofing

iBeta level 1 and iBeta level 2 certified

Age estimation

Anonymous age estimation with confidence intervals on age ranges

Passwordless Authentication

Integration

Android, iOS, and REST APIs

Photo ID Matching

0% false matches. Negligible false non-matches

Protection against injection attacks

100% Protection against Mobile Emulators and Virtual / Injected Camera Feeds

Not All Liveness Detection Service is Made Equal

Other liveness detection solution providers look strong on paper, but can they survive a real attack? We tested a leading solution, and here’s what unfolded.

Facia Overcomes Major False Rejection Rate Causes

Senior Citizens

Facia accounts for changes in your face as you age, trembling hands, as well as a varying amount of tech savviness.

Face Accessories

Facia does not require you to alter your appearance, and works with makeup and beards, glasses and hats, headphones and more.

Legacy Devices

It doesn’t matter how old your device is, Facia works just as well. Our face liveness algorithms are specially trained on images of varying quality.

Lightening and Background

With Facia face liveness detection, you don’t need to move around for detection. We work great whether you're in the sun, or indoors.

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Buyer's Guide

Facia's 3D Liveness Detection is Better

The ‘perfect’ Ai liveness detection solution sits right at the bottom left, with little to no false acceptance rate (FAR), false rejection rate (FRR), and time taken (the inconvenience caused to the end user).

Compared to competitors, Facia's Ai liveness algorithm lies closest to a perfect experience.

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Liveness Detection Use Cases

KYC

KYC

Ensure during KYC liveness check that the individual submitting their information is physically present themselves, and that there is no identity fraud being committed.

Airport & Immigration Security

Travellers will be able to verify their identity and passport remotely. After liveness verification, the passenger's biometric’s data is securely stored in the airport’s database, which will facilitate smooth passage through checkpoints.

Access Control

Access Control and Secure Spaces

Unlike conventional keycards and passwords, facial recognition with liveness detection offers unparalleled accuracy. It guarantees that only authorised individuals gain entry to corporate restricted areas, protecting valuable information and assets.

Banking & Financial Transactions

Facial Liveness detection prevents unauthorised access to financial accounts. During remote transactions, users will perform liveness checks, ensuring they are rightful owners of accounts, making the overall process frictionless.

Crypto Wallets & DeFi

Video Liveness detection blocks hackers from using still images or videos as it requires real-time face verification involving facial movements that ensure only the real owner can perform a transaction.

Matchmaking and Online Dating

Ai Liveness Detection validates user profiles, minimises duplicate accounts, and eliminates the use of fake images or videos on dating platforms. It authenticates dating profiles and safeguards users against bot interactions, also protecting minors from accessing the platforms.

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Frequently Asked Questions

How does liveness detection work?

Liveness detection analyzes real-time facial cues like blinking, head movements, and skin texture to confirm the user is a live person. It helps prevent spoofing attempts using photos, videos, or masks.

What is 3D liveness?

3D liveness is an advanced form of biometric authentication, a technology that verifies your identity using unique physical characteristics. Unlike traditional methods that use 2D images (like a flat photograph), 3D liveness creates a three-dimensional map of your face which ensures you're not an imposter.

What is a liveness check in KYC?

In Know Your Customer (KYC) processes, a liveness check is used to verify that the individual presenting their identity is physically present and real. It's a crucial step in remote or digital KYC to prevent identity fraud, ensuring that the identity documents are not being presented by an imposter.

What is Anti-Spoofing or Presentation Attack Detection in Liveness Verification?

Anti-Spoofing Presentation Attack Detection in liveness checks is a security feature that identifies and prevents attempts to trick biometric systems using false representations, such as photos, videos, masks, or other artificial artifacts. It's essential for maintaining the integrity and reliability of biometric authentication systems.

How Does Facia’s AI Liveness Detection Improve Biometric Verification Accuracy?

Facia’s liveness detection adds an extra layer of security by ensuring biometric data is captured from a real, present individual. This prevents identity fraud and enhances trust in authentication systems.