Top Applications of Face Recognition
Technology
The work on face recognition technology started
decades ago, but only recently this technology has achieved widespread use. A
facial recognition system is used to identify a person from his face. A person
can be identified when he is present physically, or from his photograph or
video.
Once face detection and analysis was considered a part
of science fiction. But, now with the introduction of this technology in the
smartphones, many people have become well acquainted with its use. There are
many use cases deploying facial recognition technology, some of them are given
here below:
Access control
Whether it is about having access to a smartphone, or
to a building, or crossing a country’s border, facial recognition technology is
there to make it as secure as possible. By deploying this technology places
such as a school, workplace, residence, etc. become highly secure as only
authorized persons can enter into the premises.
Along with sensor-based automatic doors, face recognition
allows touchless entry and exit for employees. This will enable employers to
ensure employee health and safety at post Covid-19 contactless
workplaces.
Crime prevention and identification of
criminals
Facial recognition technology is deployed for
conducting police checks. In the U.S, law enforcement agencies use this
technology to run searches against licensed drivers’ database. To identify a
suspect in a huge crowd, a large aerial camera fitted on a drone and connected
to a face detection system can be used. In retail outlets, this technology can
identify a person with a history of shoplifting right at the time when he is
entering the premises.
Facial recognition-based CCTV systems can be used to find
missing children, victims of human trafficking, and criminals. In 2018, Delhi police
identified 2930 missing children while test running a new facial recognition software.
Attendance tracking
Although fingerprint-based biometric attendance
systems have proved to be effective at workplaces, they carry an inherent risk
of transmission of contagious diseases such as Covid-19. Being touch-based, they
can easily transfer viruses and bacteria from one person to another. Face
recognition attendance systems, powered by computer vision, work in a
contactless manner, thus providing an edge over the fingerprint-based systems. They
will help prevent spread of infectious diseases at post Covid-19 workplaces.
Video advertising
Computer vision powered face detection has
revolutionized the video advertising industry. By recognizing faces of the
characters in the online videos, this technology enables placing of in-video
ads that are in line with what a user is watching. Besides faces, computer
vision technology can easily identify emotions, objects, scenes and activities
in video. This advanced form of in-video contextual advertising is highly
effective, allowing brands to achieve unprecedented reach and user
engagement.
Health
Face recognition has been used to diagnose diseases. A
face detection software has been used by the researchers at the National Human
Genome Research Institute (NHGRI) in the United States to successfully diagnose
a rare, genetic condition known as DiGeorge syndrome. Facial analysis has made
it possible to track medication use by a patient in a more accurate manner.
This technology has also been used in the assessment of pain levels in order to
support pain management.
From contactless attendance to video
advertising, there are varied uses of the face recognition technology. More of
its use cases will surface in the near future as this technology is progressing
at a fast pace.
M-Shield, developed by Silverpush, is an AI-powered
facial recognition-based attendance, access management and human monitoring
system. This social distancing platform makes workplaces and public spaces safe
by preventing the spread of contagious diseases such as Covid-19.
M-Shield makes use of facial recognition technology,
powered by computer vision, for contactless attendance, entry/exit
access management, and mask and social distancing compliance. Its touchless
attendance tracking system accurately identifies the faces of employees, even if
they are wearing masks. It ensures mask compliance and detects whether the mask
is properly worn or not. M-Shield ensures workplace social distancing by
tracking minimum distance requirements between employees. Its contactless temperature
monitoring technology detects any anomaly in body temperature. It offers added
safety by generating an alert if someone coughs, sneezes, or do a handshake.
M-Shield will help employers re-introduce workforce
back into offices while ensuring employee health and safety, and
compliance with Covid-19 related policies. It will enable government to ensure
public safety, when the Covid-19 lockdown lifts.
0 comments:
Post a Comment