This is the presentation deck for Animetrics' webinar - How Police Are Using Facial Recognition to Catch Bad Guys on Jan. 30, 2014.
The webinar covers:
- Investigative facial biometrics comparison, analysis and image tools for detectives and forensic analysts.
- Complete face recognition database solutions for police departments, law enforcement agencies and correctional facilities.
2. Introduction
Webinar: How Police Are Using Facial
Recognition to Catch Bad Guys
Topics covered…
• Facial recognition database solutions for police departments, law
enforcement agencies and corrections facilities
• Facial Capture Opportunities from Mobile, Video, Internet
• The problem of uncontrolled facial imagery (e.g. Facebook) for FR
database search
• Investigative facial biometrics comparison, analysis and image tools
for investigators and forensics analysts
Hosts
Paul Schuepp, Animetrics President and CEO
Sean Doucette, Animetrics Facial Forensic Analyst
3. Investigative Face Biometrics in the Field
“Chula Vista Police Department in San Diego is piloting the Tactical
Identification System (TIS), which allows officers in the field to snap a picture of
an arrestee and then compare that image to those in San Diego County's
mugshot database, returning personal information and criminal history”
4. Face Recognition for Law Enforcement
Identifying subjects, fugitives, missing
persons and person’s of interest by using
FR systems
– Law enforcement (LE) and Gov’t sources
..DMVs, DHS, Intelligence Community(IC)
– FBI NGI
– Open sources such as Facebook, Google, etc.
– Images from video / camera evidence
5. How Face Recognition is Used
Collect - Capture
Search “Match”
Enrolled Gallery Database
Analyze - Edit
Report
6. Rapid Growth of Video & Photo
Facial Imagery Evidence Available
Capturing face biometric
data is not the problem.
Making it ACTIONABLE
evidence for fast and
accurate identity
resolution is the problem.
Facial Images shown are
UNCONTROLLED
biometrics
8. To Control the Uncontrolled Face
Use Standards ISO/IEC 19794-5 for Enrollments
9. Uncontrolled Facial Imagery Fails!
Over 45% of faces seen by
witnesses and victims are NOT
FRONTAL FACIAL VIEWS…
…”Lights Out” face reco solutions
struggle to resolve identity
NIST
10. The solution:
Investigative face biometric technology
to interpret uncontrolled facial images
and make them actionable for fast and
more accurate identity resolution
11. Investigative Face Requirements
Capability to make uncontrolled face data
admissible for FR systems
• Off pose and low resolution face images can be corrected
High performance “Lights Out” backend FR system
for high capacity enrolled facial databases
Capability to rapidly capture facial imagery remote,
mobile, and video
Robust analysis and visualization tools
Manual and visual face identification (FI) matching
and comparison
12. IFIS™
Investigative Face Identity Solutions
Video Extraction
Resolve
ID
Forensic
Analysis,
visualization,
reporting
ID Ready
3D
Pose Correction
iPhone/Android
APP
FaceR
MobileID
ResolveRec
Facial ID
Collection, Search,
Rank, Resolve
FaceR Identity
Management
Facial
Solution
Face Database Search
Expertise
Examiner
Imagery Capture/ Input Build 3D facial evidence
ForensicaGPS
3D Forensic Analysis Compare
19. 2D-to-3D Technology
Disruptive Technology….
• Uses existing and all digital cameras
• Improves accuracy
– Compensates for NON FRONTAL
facial imagery
– Adjusts facial lighting…bright light or
low light
– Utilizes the face geometry both 2D
and 3D
20. • Since 2003
• Pioneers in Facial Biometrics
• Patented 2D to 3D Facial Technology
21. Thank you
Thank
you!
Call
Call us.. us…
603-447-5600
(603) 447 5600
Headquarters
53 Technology Lane
Conway, New Hampshire 03818
Phone - (603) 447-5600
Email: sales@animetrics.com
www.animetrics.com
Editor's Notes
exploring investigative face recognition technology and the growing number of face biometric applications and solutions now available for law enforcement
It does not take much for most 2D FR systems to fail or return low scores. way back in 2004 a standard guideline for acquiring a facial image was created..The Controlled Face Standard is ISO/IEC 19794-5 & ANSI INCITS 385-2004 For Visualization For Accuracy in Computerized Face Recognition Systems (“Lights out”) Important for Enrollment , i.e. at Booking
FR systems unable to consistently verify/match to standards for “blind admission” in courtroom Effective with “controlled facial imagery” but not with uncontrolled facial image Law enforcement (LE) and Intelligence community (IC) rarely deal with controlled data
A set of requirements becomes clear
Capture - Search/Match - Analyze / Edit - Resolve ID