4. ● 1960’s- First system required somebody to locate features on photographs
and calculate distances and ratios to compare to reference data
● 1970’s- 21 specific subjective markers such as hair color and lip thickness
were used to automate the recognition
● 1988- Applied principal component analysis, a standard linear algebra
technique, so measurements didn’t have to be manually computed
● 1991- Discovered that residual error could be used to detect faces in images,
a discovery that enabled reliable real-time automated facial recognition
systems
● 2001- Facial recognition caught media and public’s eye during 2001 Super
Bowl
● Major Players include: NEC Corporation, FaceFirst, Anviz Global Inc, and
Smartmatic
5. ● Images input through a digital video camera
● System analyzes characteristics of a
persons face
● Measures the overall facial structure,
including distances between eyes, nose,
mouth, and jaw edges
● Measurements then retained in a database
and then used as a comparison
● Each human face has approximately 80
nodal points that are detected
8. • 2001 Super Bowl XXXV
• Tampa, FL Police Force supplied with free software
• Identified a handful of criminals, but no arrests were made
• 70,000+ fans scanned without
consent
• Places where this technology
could be helpful:
• Airports
• Casinos
• Retail Stores
• Office Buildings
9. Who would be against an implementation of
facial recognition security measures? Is
this system unfair?
10. ● FaceDeep as accurate as the human
brain
● 97.25% accuracy (humans roughly
97.53%)
● 9 layers of “neurons” able to make 120
million connections in their database
● Better at identifying faces that FBI’s
NGI (Next Generation Identification)
11. ● This app allows access to wide
variety of information simply by
looking at someone
● A person’s name, photos, and
dating website profiles
● Takes pictures and analyzes
pictures in a matter of seconds
12. Would you use this technology? If yes, how
would you use it? If no, does this
possibility make you uncomfortable?
Do you think any of your current
relationships would be different had you
had this technology?
13. • Retail
• Shoplifters
• VIP Customers
• Hotel and Hospitality
Most high-profile customers are "quite happy to have
their information available because they want a
quicker service, a better-tailored service, or a more
personally tailored service“ (New York Times).
14. Would you sign consent
for facial recognition
use in retail and
hotel/hospitality? If
not, what would need
to change?
Do the pro’s outweigh
the con’s?
15. • There are currently no U.S. laws limiting government
agencies or private companies from using facial recognition
• National Telecommunications and Information
Administration
• Similar to DNA sequencing
• Right to control access to and use of biometric data
• Balance between privacy and law enforcement
“Commercial facial recognition technology has the potential to provide important
benefits and to support a new wave of technological innovation,” says John
Verdi, the agency’s director of privacy initiatives, “but it also poses consumer
privacy challenges.”
