A facial recognition system is a technology capable of identifying or verifying a
person from a digital image or a video
frame from a video source.
There are multiple methods in which facial recognition systems work, but in
general, they work by comparing selected facial
features from given image with faces within a database.
It is also described as a Biometric Artificial
Intelligence based application that can uniquely identify a person by analyzing
patterns based on the person's facial textures and shape
Facial recognition software has become
increasingly popular in the past several years. It is used everywhere from
airports, venues, shopping centers and even by law enforcement. While there are
a few potential benefits to using the technology to prevent and solve crimes,
there are many concerns about the privacy, safety and legislation regarding the
use of the technology.
Facial recognition technology uses a database of photos, such as mugshots
and driver's license photos to identify people in security photos and videos.
It uses biometrics to map facial features and help verify identity through key
features of the face. The most key feature is the geometry of a face such as
the distance between a person's eyes and the distance from their forehead to
their chin. This then creates what is called a "facial signature." It
is a mathematical formula that is then compared to a database of known faces.
The
main reason for concerns amongst citizens is the lack of federal regulations
surrounding the use of facial recognition technology. Many are worried about
how accurate the technology is and if there are biases and misinformation in these
technologies. One issue, for example, is that the technology has been proven in
multiple studies to be inaccurate at identifying people of color, especially
black women.
Not
only is this a concern with the possibility of misidentifying someone and
leading to wrongful convictions, it can also be very damaging to our society by
being abused by law enforcement for things like constant surveillance of the
public.
Applications: -
- Mobile platforms.
- Social Media
- ID Verification
- Face ID Unlock
Advantages: -
·
Able to person mass identification as it does
not require the cooperation of the test subject to work.
·
Face recognition is less effective if facial
expressions vary.
· As compared to other biometric techniques,
face recognition may not be most reliable and efficient.
·
Quality measures are very important in facial
recognition systems
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