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3D FACE AUTHENTICATION
FOR CUSTOMER IDENTITY, POS, & PAYMENTS

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Leave credit cards, loyalty cards, and barcodes at home and still complete in-person transactions with the highest level of consumer privacy.

3DWallet’s in-motion, off-axis recognition works with real-world lighting for a faster, more accurate user experience. It’s designed to succeed where other solutions consistently fail:

  • Privacy — customers control face biometrics stored on their devices instead of a central database

  • Alignment off-axis flexibility plus fast recognition means faces don’t need to be perfectly aligned

  • Appearance changes patented auto-learning adjusts for makeup, beards, glasses, & face occlusions

  • Skin tones no issues detecting various skin tones & races

 

what makes 3DWallet better?

3DWallet’s recognition works when and where your customers expect, even when other solutions don’t. After a customer opts in, they will be transparently recognized without having to carefully position their face in front of a camera. 3DWallet works on most Bluetooth-enabled smartphones and on many POS platforms with a light footprint.  

3DWallet Others
Works in-motion without careful face alignment
Works for all skin tones and races
Works when appearance changes (makeup, beards, glasses)
Works in all lighting, including strong back light & side light
Immune to spoofing with masks, photos, and videos
Recognition and anti-spoofing happen simultaneously
Patented simultaneous multi-factor security
Uses 2X more data for the best True 3D authentication
 

3dwallet
UNIQUE TECHNOLOGIES

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  • Continuous Edge Auto Learning

  • Secure and fast customer-controlled Edge Recognition compatible with most Bluetooth enabled smartphones

  • Continuous Security

  • True 3D recognition + simultaneous 2D recognition

  • 3D Anti-Spoofing

  • Simultaneous Multi-Factor Security

SPECIFICATIONS

  • False Rejection Rate: Approaches 0% with 1-3 uses

  • FAR: Better than 1 in 1,000,000 without occlusions

  • Supports 1 to Many configurations (1:N)

  • With beards and occlusions:

    • 1:1 FAR of better than 1 in 1,000,000 with beards typical in the Middle East/Europe. 1:N better than 1 in 800,000

    • With both a beard and normal-sized sunglasses, we would expect a 1:1 FAR of better than 1 in 250,000. 1:N better than 1 in 200,000.

    • 1:1 FAR of better than 1 in 1,000,000 with makeup. 1:N better than 1 in 800,000/

  • Yaw and roll: up to +/- 45 degrees supported for off-axis recognition (optional +/- 60 degrees)

  • Speed: Typically less than 70ms (Detection, Extraction, Template Creation, & Matching)

    • 1,0000 users on an i7, 16GB RAM, and SSD

    • Larger databases can be supported with similar performance and suitable hardware

  • On-device or cloud recognition

  • Embedded Linux, Windows and Android Support

  • Typical memory requirements: 35MB ROM, 60MB RAM

  • Works with the leading low-cost 3D cameras including:

    • Time of Flight (ToF)

    • Structured Light (SL)

    • Active Stereo (AS)