ZoOm® – World Leading
3D Face Authentication
with iBeta/NIST Certified Liveness – Level 1&2
Universal 3D face authentication for 10+ Billion Smart Devices & Webcams.
Ends Identity Theft.
UnSharable, UnPhishable & virtually Spoof-Proof.
Patented ZoOm-in user experience, 2 Sec Auth, as simple as a selfie.
If you can take a selfie, you can log in with ZoOm.
ZoOm makes biometric authentication fast, easy and incredibly secure for everyone, regardless of their device. Simply center your face in the oval and move the camera a few inches closer to your face. As you ZoOm in, the front-facing camera captures high-resolution video frames of your 3D face and you instantly gain access.
ZoOm makes true cross-platform biometric authentication possible with 3D FaceMaps that can be created on almost any device with a camera. You can enroll using a laptop webcam and authenticate later from a smartphone or tablet. The same ZoOm motion accesses any enabled App or webpage, so it’s now possible to use face authentication for everything from unlocking your car door to accessing your bank account. ZoOm offers more security, flexibility and portability than any other biometric.
For all modern
smart devices & webcams
instant authentication after a 10-second enrollment
Works in real-world lighting conditions
Great with Glasses, Makeup & Beards
Adaptive learning tracks
changes over time
PICTURE OR PERSON?
ZoOm’s 3D FaceMap is the best of biometric modalities, instantly accessible by the user from almost any device, but impossible for bad actors to record and replay reliably with today’s media technology.
ZoOm’s patented process scans a 3D face with a 2D camera to ensure the real user is present and that they match their previous enrollment. unZoOmed, transitional, and fully-ZoOmed frames are captured as the camera is moved closer to the face. If the face is 3D, measurable perspective distortion is observed. If the face is flat like a photo or video, distortion is not present. Therefore, much more 3D human signal is stored in a ZoOm FaceMap than is contained in a photo or video. The ability to reliably determine 3D depth and human liveness makes ZoOm vastly superior to fingerprint, palm, iris, and 2D face.
ZoOm detects the difference between “likeness” and “liveness” using Artificial Intelligence, and requires dozens of real human characteristics be observed concurrently. These characteristics cannot be captured and reproduced without measurable generation loss preventing biometric data from being phished or shared like passwords.
ZoOm’s Encrypted 3D FaceMaps:
- Ensure User Liveness
- Stop External Threats
- Stop Botnet Attacks
- Stop Credential Sharing
- Can’t Be Phished From Users
- Expose Generation Loss in Spoofs
Want To Learn More?
A Note About Biometric Privacy – When addressing biometric privacy concerns, it is critical to understand the significance of Liveness Detection. When a biometric authenticator is truly spoof-proof against digital media, 2D representations of a user won’t fool the system, so bad actors can’t take readily-available photos from Facebook or videos from YouTube and use them to impersonate the user. When a biometric system demands the real 3D user be present at the time of authentication, no photo or video will suffice. 2D spoof attempts are futile and stolen user media is useless.
HOW ZoOm WORKS
ZoOm observes the user’s head, neck, ears, hair, facial features and their environment as the camera is moved closer to the face. During the motion, the camera’s view of the face changes and perspective distortion will be observed if the face is 3D. Conversely, no distortion occurs with 2D objects like photos or videos. FaceTec’s proprietary algorithms capture ~30 video frames while tracking the motion of the device. The result is a dynamic perspective, 3D face authentication from a standard 2D camera.
Spoof Detection 101
To truly grasp why ZoOm is revolutionary, the threats that a biometric authenticator faces in the real world must first be fully comprehended. So at FaceTec, we dove more deeply into anti-spoofing than anyone else – ever – by recreating millions of spoof attempts from every conceivable type of media, and finding ways to stop them with cutting-edge Artificial Intelligence.
- 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
ZoOm detects generation loss and catches the copies. A ZoOm session contains more 3D human signal than any other type of mobile face biometric, and about 100X more signal than a photo alone. The result is an unsharable, unphishable biometric that is incredibly easy for users to access, yet impossible for criminals to recreate reliably with today’s media technology.
Why Legacy Biometrics Fail
- Despite constant hype, legacy biometrics will never replace passwords because they don’t have robust liveness detection, aren’t portable across devices, and can’t stop phishing, credential sharing or complicit user fraud. With legacy biometrics, trusting an unsupervised authentication remains impossible.
- Weak legacy “liveness” detection – like wink, blink or smile – is easily spoofed by photos and avatar videos. It doesn’t matter how many weak factors you string together for MFA. If a cooperative user can spoof the system with self-captured media, then it can’t be considered secure.
- ZoOm’s robust liveness detection stops external threats like phishing, and internal threats like credential sharing and buddy punching.
- ZoOm is so secure it’s the ONLY factor in many high-security scenarios, such as car-sharing, border security, mobile banking and mobile payments.
- ZoOm is the new standard in biometrics because it’s universal, portable across-devices and across-platforms just like a password, but much more secure.
Biometric Best Practices
- Choose strong 3D liveness & anti-spoofing technology. Without it, you can’t trust unsupervised authentications and you will be at risk for security & PR problems.
- Don’t expect users to buy a specific device just for your biometric. It needs to work on what they already own.
- Insist on a straightforward, intuitive interface. User’s must prefer the biometric or they won’t use it at all.
- 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 “racist” biometric just because the training sets used to create it were too homogeneous. ZoOm trained with users from over 158 countries.
- Get the Forrester Report: The State Of Facial Recognition For Authentication And Verification
ZoOm vs.Face ID
Face ID is a specialized hardware sensor that unlocks one specific phone. Face ID, along with fingerprint readers are “Decentralized Biometrics” which can never replace passwords because the users’ data never leaves the device and no identity can be proven to a 3rd party. ZoOm runs on over 10 billion supported devices because it is a 100% software solution that provides the flexibility of cross-device, cross-platform face authentication, and is the only biometric in the world to successfully pass the iBeta Level 1&2 PAD ISO 30107-3 tests.
Apple's Face ID
|Purpose||Universal 3D Face Authentication||Conveniently unlock an iPhone X|
|Installed Base||10+ Billion Smart Devices [Android (85%) + iOS (14%) & Webcams||Under 5% of in use iOS devices have Face ID|
|Portable||Yes, Cross-Device & Cross-Platform||No, one device only, biometric data can never leave that device|
|Technology||Software: Realtime Computer Vision + AI-Machine Learning Ensemble Pipeline||Hardware:Infrared Camera Array ($25) and Neural Network Chip ($26)|
|Interface||Proprietary, Intuitive Selfie Authenticates in ~2 Seconds||Glance at phone to unlock in few hundred milliseconds (claimed)|
|SDK Info||Easy-to-integrate for Android/iOS, plugins for Xamarin, Cordova, Phonegap, Ionic and Appcelerator||No stand-alone SDK possible, special hardware is required|
|Liveness & Depth Detection||TrueLiveness® detection uses over 20 proprietary ML classifiers to measure skin texture, eye reflections, eye focus, device motion and more||TrueDepth uses projected infrared dots, and needs a special neural network chip to determine if the user is a match and is 3D|
|IP||Patent on the ZoOm process issued Oct, 2017, 10 additional patents pending||20+ infrared related patents from the purchase of PrimeSense in 2013|
|FAR/FRR||Can be set from 1/50K to 1/1M (Self Attested) / Low FRRs in all lighting conditions||1/1M (Self Attested) However, numerous False Accepts have been observed|
|Identical Twins||1/500+ Identical Twin FAR||Apple says, “If you have a Twin, use a PIN.”|
|Children||No observed issues authenticating children, but check local laws before using in your area.||Apple says, "Children under 13 should not use Face ID"|
|3rd Party Testing/Certs||iBeta – Certified Level 1&2 Spoof Detection iBeta – DEA EPCS Biometric Subsystem Certification UL – Presentation Attack Detection Testing Praetorian Security – Black-Box Penetration Testing||None Publicly Stated|
|Additional Features||Face Image Audit Trail, Multiple-Device, Cross-Platform , Liveness/Match Confidence Score, add FaceMaps to a Blockchain||Apple says the biometric data will never leave the device, but will store images on device for future upgrades to algorithms|
Clients & Partners
FaceTec is proud to highlight just a few of the organizations dedicated to providing ZoOm’s class-leading biometric security.
- 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) of 1/100,000 – 1,000,000
- Encrypted FaceMap storage on managed/private cloud
- Lightweight & easy-to-integrate SDKs
- Simple, straightforward and secure RESTful API
- Codebase Tested by Praetorian Security
- Plugins for Xamarin, Appcelerator/Titanium, Phonegap, Cordova, Ionic & React Native
View the ZoOm Configuration Options
ZoOm is free for many organizations – See Pricing
Ready to integrate?
ZoOm via FaceTec Managed API is free to schools, nonprofits and developers. Enterprises, businesses and those who wish to host the FaceTec Server Library on their Cloud are billed monthly based on usage.
ZoOm via API is Free for:
- Educational institutions
- Non-profit organizations
ZoOm is Billed Per User or Per Session for:
- Large & small businesses
- Enterprise accounts
- Government agencies
Case Studies & Resources
Learn more about ZoOm’s use cases, interface, security and 3rd party testing below.
Independent 3rd Party Testing & Certifications
OWASP: Black & White-Box Pen Testing
ZoOm SDK Penetration Testing
FIDO Member Since 2014
Simpler Stronger Authentication
February 12, 2019
Jumio has launched a combined identity proofing ongoing authentication product for online transactions powered by FaceTec facial biometrics technology.READ MORE
February 12, 2019
Jumio is leveraging FaceTec’s anti-spoofing technology to process face images taken with a 2D camera to create 3D face...READ MORE
Founded in 2013, FaceTec is the world leader in 3D Face Authentication software with offices in San Diego, CA, Summerlin, NV, New York, NY & London, England.