A purpose is best shared. Finding partners to scale, enables organizations to be stronger together. In this session, we'll explore how two companies identified a mission-critical gap in every organization: understanding the physical identity of customers, prospects and partners. Together, they joined efforts to help global enterprises elevate security, experience and data.

3. Speakers
Keith Metcalfe
CEO
Traction Guest
Jeff Barrie
Account Manager, Canada
Digital Identity & Security
Gemalto
David Starkie
VP Sales, Canada
Digital Identity & Security
Gemalto

4. Over 100 days, the number of new people
added to the list decreased significantly
Robin Dunbar predicted that most can only
maintain 150 stable relationships
In the 1950s, two sociologists, Pool and Kochen
pioneered research on “acquaintanceship volume”
150Relationships
20%
Faces
3500Acquaintances over
20 years
People have a cognitive limit to the number of individuals
with whom any one person can maintain stable relationships.

6. Technology
and data are
the only
hope for
people

7. Capturing
physical
interactions

8. Digital Identity Physical Identity
Website visits
Emails opened
Online profiles
Webinar registrations
Online purchases
…
Office visits
Watchlisted
True Identity
Criminal Record
…

9. The Visitor DNA: Identification
Forming a partnership for our Collective Why.
✓ Who are we really meeting with?
✓ Are they invited?
✓ Have they visited before?
✓ Are they watchlisted?

10. 10
Facial Recognition uses the position,
size and shapes of the facial features
like the mouth, nose, jaw, etc.
Measures the distances and angles
of the features
A Facial image cannot be created
from a template
Templates are not interoperable
with other biometric suppliers
The Future: Facial Recognition

11. • Performs 1:1:
Match based on printed facial image against a
live image of the document presented
• Performs 1:1:1:
3 way match based on printed image vs image
in chip vs live
• Performs 1:1:1:1:
3-way match is then checked against an LFIS
Core Hotlist/Whitelist
Live Face Identification System

12. 12
REFERENCE ID RECOGNITION
& VERIFICATION
3
LIVE CAPTURE
& AUTHENTICATION &
ENROLLMENT
1 2
End-to-End Frictionless Experience

13. LFIS Server
High speed video
playback and matching Auto-alert to an
Android mobile
Web app running on
mobile & tablets
1:1:1 eID face
matching SDK
RESTful web interface
for systems integration
White list / Hot list
(more than 1,000,000 records)
Enrolment from live
video or imported stills
Real-Time face
capture and matching
MODEL 2MODEL 1
=
3100
Face-In-Crowd Identification

14. Example: Airport Journey

15. LFIS (Watch) Server
Boarding VerifySelf Check-in
Check-in
Enroll & 1:N
search watch list
Sync traveler
for this flight
Video Streams
Web Management
Web Functional UI
(Find Traveler for Flight, etc.)
Find Traveler
IP Cameras
Check - Verify - Find

16. 12.06.19Title16
Biometric Technology Rally organized by US Department of Homeland Security
LFIS Real time face
capture & matching
Identification rate
98.9%
Experience and Accuracy
99.9%
SUCCESSFUL ACQUISITION RATE
IN LESS THAN 5 SECONDS VS.
AVERAGE OF 68%
Efficiency:
End-to-end
5.5 sec

17. v

18. Visit us at the Beach.
Experience Innovation