This presentation is about Facial recognition. It gives basic information about what it is. There are given examples, etc.

1. Facial Recognition

2. Definition
Facial recognition is the process of identifying or
verifying the identity of a person using their face. It
captures, analyzes, and compares patterns based on
the person's facial details (thalesgroup.com).
• The face detection process is an essential step
as it detects and locates human faces in images
and videos.
• The face capture process transforms analog
information (a face) into a set of digital information
(data) based on the person's facial features.
• The face match process verifies if two faces
belong to the same person.
(thalesgroup.com)

3. Identifying and verifying
• Biometrics are used to identify and authenticate a person
using a set of recognizable and verifiable data unique and
specific to that person.
• Identification answers the question: "Who are you?"
• Authentication answers the question: "Are you really who
you say you are?"
These automated systems can be used to identify or check
the identity of individuals in just a few seconds based on
their facial features: spacing of the eyes, bridge of the nose,
the contour of the lips, ears, chin, etc.
(thalesgroup.com)

4. Why facial recognition?
• Facial biometrics continues to be the preferred
biometric benchmark.
• That's because it's easy to deploy and implement.
There is no physical interaction required by the end-
user.
• Face detection and face match processes for
verification/identification are speedy.
 Google, Apple, Facebook, Amazon, and Microsoft
are also very much in the mix of using this
technology.
(thalesgroup.com)

5. Possibility of disruption?
• Facial recognition will benefit different users differently. Governments around the world have begun
experimenting with it’s in law enforcement, military, and intelligence operations. Additionally, it has
the potential to benefit governments in other functions, such as the provision of humanitarian
services. Corporations will realize benefits from facial recognition in innumerable ways over time,
but some immediate examples exist in security, marketing, banking, retail, and health care
(lawfareblog.com) .
• Companies are beginning to employ facial recognition software for commercial or convenience
purposes. Some retailers have begun to use it to identify their customers’ preferences based on
what items they pick up and what path they take in the store (lawfareblog.com) .
• Conclusion: Facial recognition isn’t disruptive. It encourages technology use, and it helps to
improve certain work-environments and jobs.

6. Examples
 Owners of the iPhone X have already been introduced to facial recognition
technology. However, Apple's Face ID biometric solution was heavily criticized
in China in late 2017 because of its inability to differentiate between
individual Chinese faces (thalesgroup.com).
 Facebook has always given you control over whether we us face
recognition technology to recognize you in photos. This setting was
previously called tag suggestions because Facebook only used face
recognition technology to automatically suggest tags of your friends in
photos (fb.com).
Marketing used:
There is a system designed by Facebook where sales staff are provided
with customer information taken from their social media profiles to
produce expertly customized responses (thalesgroup.com).

7. Other known examples
Identify and track criminals
• Face recognition CCTV can be used to enable police to track
and identify past criminals. Police can also take preventive
actions. By using an image of a known criminal from a video
or an external picture (or a database), operators can use to
detect matches in live video and react before it’s too late
(thalesgroup.com).
Find missing children and disoriented adults
• Isolating the appearances of specific individuals in a video
sequence is critical. It can accelerate investigators’ jobs
in child exploitation cases as well (thalesgroup.com).
> Video analytics can help build chronologies, track activity on a
map, reveal details, and discover non-obvious connections
among the players in a case (thalesgroup.com).

8. Gartner
Deployment risk high:
• Many jurisdictions have put this technology “on hold,” as
it raises complex ethical dilemmas (gartner.com) .
• There is a strong negative sentiment against the use of
face recognition technology. It is seen as an invasion of
privacy and a step towards mass surveillance
(gartner.com) .
• Currently, there are no widely used or accepted
regulations governing facial recognition, which means
data and analytics leaders need to turn to digital ethics
to use facial recognition technology responsibly
(gartner.com).

9. Gartner
Enterprise value low:
• To deliver successful facial recognition products, technology and
service providers must get ahead of the market disruptions and
buyer paralysis driven by technology and regulatory changes in a
volatile threat environment (gartner.com) .
• One commonly raised concern is that Facial recognition is not 100
percent accurate. Using a particular image to search through a facial
database is sure to produce false positives (gartner.com) .
Example: it could mean that the company mis-identifies a job
applicant as having a criminal record and denies him the job.
Also:
• Government abuse
• Criminal abuse
• Hacking,…

10. Resources
• Poll: Are You Creeped Out By Facial Recognition? | Threatpost
• Facial recognition in 2020 (7 trends to watch) (thalesgroup.com)
• Market Trends: Facial Recognition for Enhanced Physical Security — Differentiating the Good, the Bad and the
Ugly (gartner.com)
• Use Facial Recognition Technology Responsibly and Ethically (gartner.com)
• The security and privacy risks of face recognition authentication – TechTalks (bdtechtalks.com)
• Finally, progress on regulating facial recognition - Microsoft On the Issues
• The Face in Facebook Now Has New Meaning | Movie TV Tech Geeks News
• An Update About Face Recognition on Facebook - About Facebook (fb.com)
• 2020-2022 Emerging Technology Roadmap for Large Enterprises (gartner.com)
• China's facial recognition cameras pick man out of crowd of 60,000 (smh.com.au)
• Facial Recognition Software: Costs and Benefits - Lawfare (lawfareblog.com)
• File:Google, Apple, Facebook, Amazon and Microsoft.png - Wikimedia Commons