The Report Iris Recognition Market - Global Drivers, Restraints,
Opportunities, Trends, and Forecasts up to 2023 gives a detailed analysis on the global market for nurse
calling systems. The report contains analysis of the supply chain and their
in-depth reports of vendors. The report clearly talks about the various
stakeholders and their financial health, business units, key business
priorities, SWOT and strategies. The report brings a complete trend on the
latest trend, current market scenario, government and technology related to the
global market. The report will help the investors understand various revenue
opportunities. The top players in the global market for nurse calling systems
are Ascom Holding AG, Azure Healthcare Ltd., Cornell
Communications, Hill-Rom Holdings Inc., Jeron Electronic Systems Inc., STANLEY
Healthcare, TekTone Sound & Signal Mfg. Inc., Tyco SimplexGrinnell, Vigil
Health Solutions Inc., and Rauland-Borg Corp. (Acquired by Ametek Inc.)
Iris recognition
is a type of biometric technique that uses pattern recognition techniques to
get high resolution and distortion – free images on the human iris. Since iris
is an organ which stays stable all through the life, it acts as an excellent
identity for biometric verification. The iris recognition technology works by taking high resolution images of iris of a person and
using pattern recognition for matching the patters stored in the database. It
can be summarised in three steps- image capture, location of iris and
optimising the image, biometric storage and matching. Iris recognition as a
biometric identity is superior to other forms for many reasons – iris is
unique, even for identical twins, it is less susceptible to damage, using of
lens or spectacles doesn’t affect the authenticity. This is widely used in many
fields- finance and banking, healthcare and welfare, border and immigration
services, public safety, ATMs and tourism.
One of the
important areas where this technology is employed is in security systems. Due
to increasing demand for safety and security, there is a rise in demand for
iris recognition systems. Due to the increasing immigration policies and
security concerns arising from the same, this also serves as an important
driver for the market. The technology is accurate with very minimal error rate
and offers stability which makes it the desired biometric identity. However,
the main constraint of the market is the costs of iris recognition systems.
They are very expensive than the usual fingerprint scanners. Another constraint
is, for the iris scan to be effective, the head of the individual needs to be
still which is more than often not the reality.
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