A face
recognition system is a set of hardware and software that compares and analyses
a person's facial patterns using deep learning to identify and verify them. Furthermore,
facial recognition systems are mostly utilised for security purposes, but they
can also be employed in other areas such as payment, access control, and so on.
Face detection, face alignment, feature extraction, and ultimately face
recognition are the four phases used by a face recognition system to analyse
and identify a person.
Increasing demand for surveillance
systems to improve public safety and security
Face
recognition systems are widely used in public security, where they are used in
conjunction with surveillance cameras to track criminals. Furthermore, since
public awareness about security risks has grown, most public areas, such as
airports, metro stations, open markets, nation borders, and other public
places, have installed face recognition systems, which aid in the tracking of
criminals. For example, three Panasonic facial
recognition systems market were installed at Tokyo International
Airport's immigration check in October 2017. These were installed to
authenticate a traveler's identity by comparing the traveler's face to the
photo obtained by a face recognition system utilising the IC chip embedded in
the person's passport. Furthermore, over the forecast period 2019-2027, the
market is predicted to rise due to the increasing usage of face recognition
systems by government bodies and defence authorities.
Increasing adoption of face
recognition system in mobile devices for authentication and data security
purpose
Because
maintaining information security in mobile devices has become increasingly
crucial, major mobile businesses such as Apple Inc, Samsung Electronics, and
OnePlus are focusing on incorporating face recognition systems into their
latest handsets to protect and secure their users' data. For example, Apple
Inc. released the iPhone X in September 2017, which employs 3D facial
recognition to unlock the phone and is believed to be more secure than the
password unlock system. Furthermore, the rise in online financial transactions
via mobile devices has prompted app developers to create a facial recognition
app to verify a user's identification before to making a payment. Over the
forecast period, these factors are projected to fuel demand for face recognition
systems.
Key Players
3M,
Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto
NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology,
NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain are
among the major players in the global face recognition system market.
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