Facial recognition systems

1. FACIAL RECOGNITION
SYSTEMS
SUBMITTED BY,
SRUTHI SARA BABU
ALISHA ELIABETH ANOOP
M.B.A - VIDYUT

2. Facial recognition is a type of biometric technology that uses statistical measurements of
people’s features to digitally determine identity.Though facial recognition can allow for more
ease in day to day life, it comes with major security and privacy issues that might cause concerns
for users.
Facebook, Oregin Department of Motor vehicles etc. use these facial recognition
systems for various purposes.
Facebook’s facial recognition tool called Deepface is nearly as accurate the human
brain in recognizing a face.It can compare 2 photos and compare it with 97.25% accuracy
whether the photos shows the same face.Humans are able to perform the same task with 97.53%
accuracy.Deepface was developed by facebook’s AI research group in California.Deepface soon
will be ready for commercial use, most likely to help facebook improve the accuracy of its
existing facial recognition capabilities.Deepface might also be used for real world facial-
tracking.
The Oregon Department of Motor Vehicles uses facial recognition to ensure that
drivers licenses, instruction permits,and ID cards are not issued under false names.Police can
capture a 3D video and upload it to an image gallery for comparison to identify people with prior
criminal records or outstanding warrants.
Facial analysis has progressed beyond scruitinizing static features.Frame by frame
analysis can isolate involuntary millisecond-long expressions,revealing private sentiments.While
these insights can drive productive endeavours,they are fraught with privacy implications.
Emotient, another expression analysis start up located in California, received a 6
million infusion of funds in early2014 to support glassware for retail salespeople.Emotient is
confident that the ability to objectively and accurately gauge customer emotions will give retail
teams more tools to increase sales, but customer response to being recorded by cameras
embedded in smartglass is uncertain.
Face recognition technology has come a longway.However, next generation face
recognition systems are going to have widespread application in smart environments-where
computers and machines are more likely helpful to assistants.

3. QUESTIONS AND ANSWERS
1. What are some of the benefits of using facial recognition technology?Describe some
current and future applications of this technology.
Some of the benefits of facial recognition technology are:
 Increased Security: One of the biggest pros of facial recognition technology is that it
enhances safety and security. From government agencies to personal use, there is an
increasing demand for advanced security and surveillance systems. Organizations can
easily identify and track anyone who comes onto the premises, and they can easily flag
visitors who aren’t welcome. It can be very helpful when it comes to finding potential
terrorists. Plus, there is no key, badge, or password that can be stolen or lost.
 Fast and Accurate: With the ever-increasing demand for speed and the growing number
of cyberattacks, having fast and accurate technology is key. Facial recognition
technology provides verification that is convenient, quick, and accurate. Although
possible, it is very difficult to fool facial recognition technology, which makes it
beneficial in helping prevent fraud.
 No Contact: Facial recognition is preferred over fingerprint scanning because of its non-
contact process. People don’t have to worry about the potential drawbacks related to
fingerprint identification technology, such as germs or smudges.
Deepface soon will be ready for commercial use, most likely to help facebook improve
the accuracy of its existing facial recognition capabilities.Deepface might also be used for real
world facial-tracking.Foe example, monitoring someone’s shopping habits as that person moves
from physical store to store.
The Oregon Department of Motor Vehicles uses facial recognition to ensure that drivers
licenses, instruction permits,and ID cards are not issued under false names.Police can capture a
3D video and upload it to an image gallery for comparison to identify people with prior criminal
records or outstanding warrants.

4. 2.How does facial recognition technology threaten the protection of individual privacy?
Facial analysis has progressed beyond scruitinizing static features.Frame by frame
analysis can isolate involuntary millisecond-long expressions,revealing private sentiments.While
these insights can drive productive endeavours,they are fraught with privacy implications.For
example , do you want the person conducting the job interview to be able to review a videotape ,
identify fleeting moments of confusion or indecision and decide against hiring you.
3.Would you like deepface to track your activities on facebook and in the physical world?
Deepface is nearly as accurate the human brain in recognizing a face.It can compare 2
photos and compare it with 97.25% accuracy whether the photos shows the same face.Humans
are able to perform the same task with 97.53% accuracy.Deepface was developed by facebook’s
AI research group in California.Deepface soon will be ready for commercial use, most likely to
help facebook improve the accuracy of its existing facial recognition capabilities.Deepface might
also be used for real world facial-tracking.