Trusted to Provide Over
3D Liveness Checks Annually

3D Liveness, OCR & 3D Face Authentication Software

Certified Anti-Spoofing + $100,000 Spoof Bounty Program
World’s Best 3D Face Matching: 1/12.8M FAR @ <1% FRR

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ZoOm in WebCam

3D Liveness, Photo ID OCR, NFC, Matching & Age Checks for >10 Billion Smart Devices & Webcams.

Ends Identity Theft & User Fraud.
UnSharable, UnPhishable & Virtually Spoof-Proof.   

Patented ZoOm-in FaceScan® Creates a 3D FaceMap® with a
2-Second Video-S

FaceTec Anchors Digital Identity

3D Liveness, OCR, Barcode & NFC for KYC Onboarding + 3D Face Matching for Ongoing Authentication


FaceTec proves the Correct User is physically present by Matching them to their ID Photo or 3D FaceMap.

Frictionless Security
for Real Users

Liveness Checks & Face Matches are now fast, easy, and incredibly secure for everyone, regardless of their device. During onboarding, a quick video-selfie verifies 3D Liveness, compares the user’s face to their Photo ID, OCRs the ID Text, and searches previously enrolled FaceMaps for duplicates. When the user returns, ongoing face authentication again proves 3D Liveness and compares the new 3D FaceMap® to the one from onboarding. If they match, access is granted; no password required.

Brick Wall
for Bad Actors

Use your 3D face to unlock anything from a car door to a bank account. Real users get easy access, but bad actors and bots are rebuffed by Anti-spoofing AI Certified by a NIST/NVLAP lab and relentlessly tested by a $100,000 Spoof Bounty. FaceTec is the market leader that invented the 3D FaceMap, the biometric modality that provides more security, flexibility, and convenience than any other.

white mobile device



For all modern
smart devices & webcams


Certified Liveness Detection
in 2 Seconds


Works in real-world lighting conditions


Great with Glasses, Makeup & Beards


Certified Liveness + 3D Face Matching

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Can a Simple Selfie Really Provide Security?
Typically they can’t because 2D photos of most people are already all over the Internet. But FaceTec isn’t just a “selfie”; it’s a 3D FaceScan that enables a strong Liveness Check and contains a 3D FaceMap, which IS NOT publicly available online. FaceTec ensures the user is physically present and isn’t fooled by photos, masks, or deepfakes.


FaceTec’s Liveness Detection AI must observe so many concurrent human traits that spoof artifacts are unable to recreate them all at once. FaceTec’s 3D Face Matching then compares to the user’s previously-stored 3D FaceMap, and if the two 3D FaceMaps highly match (1/12.8M+ FAR), the verified user is granted access.


Skeptical?  Good, you should be!  Try our $100,000 Spoof Bounty Program for yourself.

FaceTec’s Encrypted 3D FaceScans & FaceMaps:

  • Can’t Be Phished From Users
  • Aren’t a Biometric Honeypot
  • Stop Credential Sharing
  • Stop Botnet Attacks
  • 1:1 Match at 1/12.8M FAR
  • 1:N De-duplicate up to 1/128M FAR
  • Match 2D Photos up to 1/950,000 FAR
  • Provide Anonymous Age Checks

Want To Learn More?   



No Real-Time Liveness Data = No Honeypot Risk

Two types of data are required for every face authentication: 3D Face Data for matching, and real-time 3D Liveness Data to prove the Face Data was collected from a live, present person. 3D Liveness Data must be timestamped, is valid only for a few minutes, and then can be deleted.  New 3D Liveness Data must be collected for every subsequent FaceTec login.


Storing 3D FaceMaps doesn’t create honeypot risk because they are “Face Data” without any Liveness Data, so they cannot be used to spoof FaceTec’s 3D Liveness AI. Think of the stored 3D FaceMap as the Lock, the user’s newly collected 3D FaceMap as a One-Time-Use Key, and the new 3D Liveness Data as proof that the Key has never been used in the lock before.


During the user session, the camera’s view of the 3D face changes, observing perspective distortion and proving it is 3D.  In only two seconds, FaceTec’s Device SDK processes 100+ video frames and reverse engineers a 3D FaceMap from any .3MP+ 2D camera.

Certified Liveness Detection

Over the last seven years, we dove more deeply into anti-spoofing than anyone – ever.  We have performed hundreds-of-millions of spoof attempts with every conceivable type of media and learned how to stop them.  Learn more: www.Liveness.com


Attack Vectors include:

  • 2D paper photos & digital images
  • High resolution videos
  • Paper masks with eye & mouth cutouts
  • Hollywood masks, wax figures & lifelike dolls
  • Photos or video frames animated into avatars
  • Video projections on 3D heads
  • Sleeping users with closed eyes
  • Device Emulators & Virtual Camera programs
  • Impostors, lookalikes & doppelgangers
  • Hardware Video Injection adapters

Operating a Spoof Bounty Program since October, 2019, and passing NIST/NVLAP Lab Level 1 & 2 PAD testing with 0% FAR is proof that FaceTec is an unsharable, unphishable modality that is virtually impossible to fool using today’s media technology.



Biometric Best Practices






  • Demand 3D Liveness Detection backed by a Spoof/Bypass Bounty Program.  Without it, you cannot trust unsupervised users and will be put at risk by “Suprema” type biometric data breaches.  With strong 3D Liveness & 3D Matching, the data breaches of others can’t be leveraged against your users.  Whitepaper
  • Delete Liveness Data after each login and collect new Liveness Data for every new session.  This prevents biometric honeypots and allows for safe, centralized biometric storage.  See www.Liveness.com
  • Centralized 3D FaceMap storage with server-side 3D neural networks is the only way to truly replace passwords, enable cross-platform logins, simplify device upgrades, and allow multiple devices and users.
  • Only true 3D Algorithms that measure the shape of the user’s face can be unbiased to skin tone.  FaceTec trained it’s 3D Algorithms with the help of over half-a-million volunteer testers from 170+ countries.
  • Get the Acuity Research Report: Face Verification & Liveness Synonymous with Remote Onboarding

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2D vs. 3D Face Matching

2D Matching will never have the accuracy needed for true Unsupervised Identity Verification & Authentication. There’s just too much variability in how the same 3D human face appears when flattened into 2D at different image capture distances. This variability creates significant overlapping similarity between the 2D features of different humans and confuses the 2D algorithms, preventing them from achieving highly accurate FARs at usable FRRs.

Apple, Google, and Intel understand this, so their 3D Face Matching systems use 3D infrared cameras, but that, of course, requires each device to include special hardware. In contrast, FaceTec securely performs 3D Matching from virtually any device with a 2D camera.


2D Software

3D Hardware


Axes X,Y X,Y,Z X,Y + Time
Vendors Aware, BioID, Daon, FacePhi, Idemia, iProov, ID R&D, etc Apple Face ID, Google Pixel 4, Intel RealSense® FaceTec & > 70 Channel Partners Worldwide
Purpose Face Matching Unlock Mobile Phones 3D Face Matching
Installed Base 10+ Billion Smart Devices (Android-85% + iOS-14% & Webcams) Only recent iPhones have Face ID, Pixel 4 = < 1% of market 10+ Billion Smart Devices (Android-85% + iOS-14% & Webcams)
Portable Biometric Varies None, re-enroll on each device Cross-Device & Cross-Platform
Technology Legacy 2D Matching Software Hardware: Infrared Camera Array & Neural Network Chip Software: Real-time Computer Vision + 100% proprietary AI
Interface Varies Glance to unlock phone 3D Video Selfie: ~2 Seconds
Racial Bias Most 2D Algos have racial bias at published FARs None-Reported None exhibited in the Lab or Real World usage
Device SDK Info Varies No SDK possible, special hardware required Device SDKs for Android/iOS, web + Server SDK
Liveness Method Blink, Smile, Turn Head or Flashing Lights, etc Infrared dots + neural network chip determine if user is 3D Measures 3D Depth, skin texture, eye reflections, etc
Liveness Strength Fairly Weak Fairly Strong Very Strong
3D Depth Detection Weak Very Strong Very Strong
Intellectual Property Legacy tech, too old for meaningful patents 20+ infrared related patents  acquired in 2013 5 US Patents on 3D process issued, +12 pending globally
FAR/FRR Varies, but 1/<75,000 at real world usable FRRs 1/1M - No FRR stated 1/12,800,000 FAR @ <1% FRR
Identical Twin Differentiation Very Weak “If you have a Twin, use a PIN.” High 1:1 FAR provides Best Possible Twin Differentiation
Liveness Testing Certifications No, only non-standardized conformances, no camera feed security tested No Official 3rd Party Testing Certified Level 1 & 2 Spoof Detection by NIST/NVLAP LAB - Liveness.com
Age Estimation 2D = poor Age Estimates Not Available "Better than Human" Face-only Anonymous Age Estimation
Match to Photo ID Low-detail & problems with aged photos = low match rates Not Available Up to 1/950,000 Match Levels with 3D:2D Matching
Password Replacement? Not secure enough, Liveness too Weak & FAR too low No, only used for convenience Yes, universal device support, highly secure & convenient
Spoof Bounty Programs? No, they are all talk No, no motivation Yes, $100,000 SpoofBounty.com

Clients & Partners

FaceTec is proud to highlight some of the organizations providing our class-leading biometric security.

Certified Liveness + 3D Face Matching

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Use the best biometric

Thoroughly test 3D Liveness, 3D Face Matching, Age Estimation, Photo ID OCR & Barcode / NFC Scanning instantly with a FREE Developer Account.


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  • Supports iOS 8.3+ & Android 4.3+ devices & webcams
  • Available in 30+ languages, easy to localize
  • Portable, cross-device, cross-platform 3D Face Matching
  • Unrivaled 3D Liveness Security, Certified PAD Levels 1&2
  • False Acceptance Rate (FAR): 1/12,800,000 @ <1% FRR
  • Encrypted 3D FaceMap storage on managed/private cloud
  • Photo ID OCR & Barcode / NFC Scanning included
  • Lightweight & easy-to-integrate SDKs (3.9MB)
  • Start fast with our straightforward RESTful API
  • Anonymous faceCAPTCHA or Match to Photo ID
  • Codebase Tested by Praetorian Security

View the FaceTec – SDK Configuration Options

Available for organizations of all sizes – Get Pricing

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FaceTec Pricing

FaceTec is available to organizations of all sizes. However, customers must host the FaceTec Server SDK on their cloud/server and are billed monthly, based on usage.

FaceTec’s Testing API is Free for:

  • Organizations to test internally
  • Small proof-of-concepts (POCs)
  • Developers

FaceTec Bills: Per 3D Liveness Check or Per User for

  • Large & small businesses
  • Enterprise accounts
  • Government agencies
  • Not-for-profits

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Press Links

INTERVIEW: FaceTec’s Jay Meier Wants the Identity Industry to Understand ‘The PKI Fallacy’

FaceTec clearly explains its identity verification and authentication approach with grounded arguments about why it’s superior.


FaceTec Secures Mobile ID Onboarding With SDK Upgrade

FaceTec has enhanced its biometric SDK platform with new capabilities, giving developers the chance to build even more secure and...


FaceTec to Help Drive Digital Innovation in Dubai With New Partnership

FaceTec has established a new partnership with gDi, establishing a footprint in the UAE in collaboration with the Digital...


Digital Dubai signs gDi & FaceTec for biometrics to create ‘world’s happiest city’

Dubai hopes to become the “world’s smartest and happiest city” via personalization that will achieve enhanced experiences across “all...


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About FaceTec

Founded in 2013, FaceTec is the world leader in 3D Face Liveness & Matching software with staff in San Diego, CA, Summerlin, NV, Brazil, Portugal, Singapore, and over 70 Channel Partners globally.

management Team

Kevin Alan Tussy - CEO

Systems architect, 4-time tech founder with +10 issued patents, Editor-in-Chief: Liveness.com


Josh Rose - CTO

Top 3D face matching, liveness and artificial intelligence expert, formerly with Microsoft


Satya Yenigalla - COO

M.S. (Computer Science), formerly with Samsung, Oracle, Cloudscape/IBM


John Bernhard - Chief Scientist

M.S. (Computer Science), University of Notre Dame, M.S. (Statistics), Stephen F. Austin State University, B.S. (Mathematics & CompSci), Rose-Hulman Institute of Tech., formerly with Verizon


Gregory Perez - VP of Engineering

B.S. (Computer Science), UCSD, formerly with GILT and Microsoft


Jase Kurasz - Sr. Algorithm Dev. Engineer

M.S. (Computer Science), DePaul University, B.S (Electrical Engineering), Purdue University, formerly with E-Technologies


advisory Board

Alfred Koh - CEO Microsoft Korea

Former CEO of Samsung SDS, Hewlett-Packard Malaysia and IBM


Patrick Flynn - Department Chair

Computer Science & Engineering at Notre Dame

Google Scholar

Kevin Bowyer - Schubmehl-Prein Professor

Computer Science & Engineering at Notre Dame

Google Scholar

Chad Miller - Partner at Weide & Miller, Ltd

Juris Doctorate (Intellectual Property), Lewis & Clark Law School, B.S. (Elec. Engineering), UNLV


Ken Ashworth - Ken Ashworth & Associates

Doctor of Law (J.D.), Pepperdine University School of Law, B.S. (Accounting), So. Utah University


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