ZoOm

SAY GOODBYE
TO
SPOOFING FRAUD PHISHING FRICTION ID THEFT BOTS BREACHES IMPOSTERS PASSWORDS


Trusted to Protect Over
400,000 New
User Accounts Every Month

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ZoOm® 3D Face Liveness & 1:1 Verification Software

iBeta/NIST Certified Anti-Spoofing – Level 1&2
World’s Best Face Matcher: 1/4,200,000 FAR @ <1% FRR

Try the ZoOm Demos Now:

ZoOm in WebCam

Universal 3D Liveness, KYC & Matching for 10 Billion+ Smart Devices & Webcams.

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

Patented ZoOm-in User Experience Creates a 3D FaceMap with a Simple Selfie.

FaceTec Anchors Digital Identity

With the Most Secure Certified 3D Liveness Detection in History
Verifies
Liveness
Verifies
3-Dimensionality
Verifies
Identity

 

ZoOm Links a User’s 3D Face to Their Account & Verifies Liveness Every Time.

Frictionless Security
For Real Users

ZoOm makes Liveness Checks and 3D Face Authentication fast, easy and incredibly secure for everyone, regardless of their device.  The same intuitive ZoOm UI provides Liveness Checks, Onboarding  and Ongoing user Authentication.  Simply center your face in the oval and move the camera a bit closer.  That video-selfie verifies Liveness, matches the 3D FaceMap and provides instant access.

Brick Wall
for Bad Actors

ZoOm provides access security for any app or webpage, unlocking everything from your car door to your bank account.  During onboarding, a 3D FaceMap is created anchoring the chain of trust for ongoing password-free user authentication from any smartphone, tablet, PC or Laptop.  ZoOm offers more security, flexibility, portability and convenience than any other biometric.

white mobile device

 

 

For all modern
smart devices & webcams

 

instant authentication after a 10-second onboarding

 

Works in real-world lighting conditions

 

Great with Glasses, Makeup & Beards

 

3D Liveness + 1:1 Matching

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SECURITY CERTIFIED
#1 IN THE WORLD

#trueliveness

#Certified

Can a Selfie Really Provide Security?
Obviously, selfies are easy to take.  But the real question is whether or not they can provide effective access security.  Typically they don’t, but ZoOm’s patented process isn’t just a selfie, it’s a quick face scan that results in both a 3D FaceMap and Liveness Data.  ZoOm detects the difference between “likeness” and “liveness” to prevent masks, dolls, videos or photos from fooling the system.

 

The Liveness Detection algorithms must observe so many concurrent human traits that no spoof could recreate them all at once.  ZoOm’s 3D Face Matching then compares the user to their previously-enrolled 3D FaceMap, and if the two FaceMaps match highly  (4.2M+ FAR) the verified user is granted access.

ZoOm’s Encrypted 3D FaceMaps:

  • Can’t Be Phished From Users
  • Aren’t a Biometric Honeypot
  • Stop Credential Sharing
  • Stop Botnet Attacks
  • Match 1:1 & 1:N Better

Want To Learn More?   

 

Read The WHITE PAPERS

No Stored Liveness Data = No Honeypot Risk
There are two types of data required for every secure face authentication, Face Matching Data and Liveness Data. Each acts as a part of the same key, and both must be present to gain access. With ZoOm only the 3D FaceMap is ever stored, the ZoOm Server SDK automatically deletes the Liveness Data immediately after each session. Since the 3D FaceMap itself isn’t enough to gain access, new Liveness Data must be collected, time stamped, encrypted and verified for every new ZoOm session. Without storing Liveness Data there is no honeypot risk, and just as photos from Google, Facebook, Instagram or LinkedIn can’t spoof ZoOm, neither can a standalone 3D FaceMap.

HOW ZoOm WORKS

During the ZoOm motion, the camera’s view of the 3D face changes and perspective distortion is observed, exposing most spoofs instantly.  In under 2 seconds, ZoOm processes +30 video frames, and reverse engineers a 3D FaceMap from a standard 2D camera.

 

Certified Liveness Detection

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

 

Presentation Attack Detection tests include:

  • 2D paper photos & digital images
  • High resolution videos
  • Image swap-in after liveness check
  • 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
  • Impostors, lookalikes & identical twins

Passing the rigorous iBeta Level 1 & 2 tests results in an unsharable, unphishable biometric that is virtually impossible for criminals to recreate reliably using today’s media technology.

 

     

Biometric Best Practices

   

     

   

   

   

  • Choose Certified 3D Liveness Detection technology. Without it, you can’t trust unsupervised authentications and you will be at risk for security and PR problems.
  • Don’t make users buy a specific device just for your biometric. It must run on devices they already own.
  • Delete Liveness Data and only store Matching Data, this prevents a biometric honeypot.  See www.Liveness.com
  • Server-side matching is the only biometric model that can truly replace passwords, enable cross-platform logins, simplify device upgrades and allow multiple devices/user. On-device matching isn’t future-proof.
  • Choose a diverse algorithm. Don’t be accused of having a “biased” biometric just because the training sets used to create it were too homogeneous. ZoOm trained with users from over 170 countries.
  • Get the Forrester Report: The State Of Facial Recognition For Authentication And Verification

3D Liveness + 1:1 Matching

Try the ZoOm Login Demo app
  

2D vs. 3D

Legacy 2D Face Recognition has never provided large scale 1:1 security for consumers.  Modern AI has made it better, but 2D will never work well with large data sets.  There’s just too much variability in capture distances and not enough differentiation in human faces when they are flattened into 2D.  Apple’s 3D Face ID is a special hardware sensor that unlocks one specific phone, which like fingerprint readers are “On-device” biometrics which only bind a user to a specific device.  No one seems to realize that to actually replace passwords users’ biometrics must be linked to their accounts, so their identities can be proven to a 3rd party.

Type

2D

3D

ZoOm® 3D

Axes X,Y X,Y,Z X,Y + Time
Vendors Aware, BioID, Daon, FacePhi, Idemia, iProov, etc. Apple Face ID FaceTec
Purpose Face Verification Unlock Mobile Phones 3D Face Authentication
Installed Base 10+ Billion Smart Devices (Android - 85% + iOS -14% & Webcams) < 10% of in use iOS devices have Face ID 10+ Billion Smart Devices (Android - 85% + iOS -14% & Webcams)
Portability Varies None, re-enroll on each device Cross-Device & Cross-Platform
Technology Legacy 2D Algorithms Hardware: Infrared Camera Array & Neural Network Chip Software: Real-time Computer Vision + 100% proprietary AI
Interface Varies Glance to unlock phone 3D Video Selfie: ~1.5 Seconds
SDK Info Varies No SDK possible, special hardware required Device SDKs for Android/iOS, web & Server SDK
Liveness Challenge Response: Blink, Smile, Turn Head & Flashing Lights, etc Infrared dots + neural network chip determine if user is 3D TrueLiveness® measures 3D Depth, skin texture, eye reflections, eye focus, & more concurrent human traits
Liveness Detection Weak Weak  Strong
3D Depth Detection Weak Strong  Strong
Intellectual Property Legacy tech too old for meaningful patents 20+ infrared related patents from 2013 PrimeSense acquisition 3 US Patents on 3D process issued, +10 pending globally
FAR/FRR Varies, but 1/<100,000 at real world usable FRRs 1/1M - No FRR stated 1/4,200,000 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 3rd Party Certs No 3rd Party Certs iBeta – Certified Level 1 & 2 Spoof Detection
Additional Notes Typically used in multi-factor Apple says the biometric data will never leave the device Liveness data deleted immediately after matching, removing honeypot risk

Clients & Partners

FaceTec is proud to highlight just a few of the organizations providing ZoOm’s class-leading biometric security.

3D Liveness + 1:1 Matching

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Developers: Get the best biometric

Add ZoOm to your own app with a ZoOm Developer Account.

Get Developer Access

#trueliveness

#instantaccess

  • Supports iOS 8.3+ & Android 4.3+ devices & webcams
  • Available in 30+ languages with easy customization
  • Portable, cross-device, cross-platform 3D face matching
  • Unrivaled liveness detection, Certified PAD Level: 1&2
  • False Acceptance Rate (FAR): 1/4,200,000 @ <1% FRR
  • Encrypted FaceMap storage on managed/private cloud
  • Lightweight & easy-to-integrate SDKs
  • Start fast with our straightforward RESTful API
  • Codebase Tested by Praetorian Security

View the ZoOm Configuration Options

Available for all sizes of organizations – See Pricing

Ready to integrate?

 

Get Your Developer Account

 

ZoOm Pricing

ZoOm via FaceTec Managed API is free for educational use and to developers.  Enterprises, businesses and those who wish to host the ZoOm Server SDK on their Cloud/Server are billed monthly based on usage.

ZoOm via Managed API is Free for:

  • Educational use
  • Developers

ZoOm is Billed Per User or Per Session for:

  • Large & small businesses
  • Enterprise accounts
  • Government agencies

Get A Pricing Quote

 

3D Liveness + 1:1 Matching

Try the ZoOm Login Demo App
  

Press Links

ZenGo is First Ever Crypto Wallet with Biometric Account Recovery from FaceTec

“…And with the month-long challenge now over, ZenGo hasn’t lost anything on its end of the wager, with no...

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A Successful ZoOm-Powered ZenGo Biometric Hacking Challenge!

Unchallenged! 30 days and many motivated and dedicated hackers later, ZenGo’s bitcoin is still safe and sound in its...

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INTERVIEW: FaceTec CEO Kevin Alan Tussy on “The Best Performing 1:1 Face Matching Algorithm in History”

Biometric face authentication specialist FaceTec recently announced a major achievement: after undergoing a rigorous and transparent in-house benchmarking process,...

READ MORE

FaceTec blows away top NIST FRVT facial recognition algorithm in 3D self-testing

FaceTec‘s ZoOm 3D matching algorithm has scored in its own test an accuracy rate far better than the top...

READ MORE

3D Liveness + 1:1 Matching

Try the ZoOm Login Demo App
  

About FaceTec

Founded in 2013, FaceTec is the world leader in 3D Face Authentication software with offices in San Diego, CA, Summerlin, NV & New York, NY.

management Team

Kevin Alan Tussy - CEO

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

LinkedIn

Josh Rose - CTO

Top face authentication, liveness and artificial intelligence expert, formerly with Microsoft

LinkedIn

Satya Yenigalla - COO

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

LinkedIn

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

LinkedIn

Jase Kurasz - Sr. Algorithm Dev. Engineer

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

LinkedIn

Rich Lobovsky - Sr. VP Business Dev

Over 25 years experience in customer and channel partner development in key roles at Samsung SDSA, Verizon and Qualcomm.

LinkedIn

advisory Board

Alfred Koh - CEO Microsoft Korea

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

LinkedIn

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

LinkedIn

Jay Meier - Founder at Sage Capital Advisors

B.A. (Economics), University of Wisconsin-Madison, formerly with BIO-Key

LinkedIn

Ken Ashworth - Ken Ashworth & Associates

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

LinkedIn

3D Liveness + 1:1 Matching

Try the ZoOm Login Demo App
  

Contact FaceTec

or Request A Quote

3D Liveness + 1:1 Matching

Try the ZoOm Login Demo App