global automatic number plate recognition market

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Global Automatic Number Plate Recognition (ANPR)
Market Research Report By Forecast 2023
Industry Survey, Growth, Competitive
Landscapeand Forecasts to 2023
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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
In recent years, the prevalence of road
accidents, illegal road behavior, and criminal
activities has prompted the need for a system
that easily recognizes these wrongdoers. Over the
years, several policies and regulations have been
employed to grab hold onto bikes, cars, and
vehicle drivers and other associated members who
are breaking the law. However, none of them have
resulted in massive success. Enters automatic
number plate recognition (ANPR). A highly
accurate system that boasts the capability of
reading the number plates of vehicles without the
need for any human interference. It does so with
the use of a high-speed image capturing
technology.
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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023

• The technology is aided with features such as the
  detection of characters within the images
  provided, supporting illumination, character
  recognition to convert images into text, and
  verification of the character sequences in
  license plates. This is the underlying technology
  that is used for the detection of a vehicle
  license or number plate. It supplies the
  information to the next phase of computer
  processing under which the information is broken
  down, interpreted, stored, and matched to create
  an ANPR-based application.

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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
Global Automatic Number Plate Recognition (ANPR)
Market Segmented on the basis of
The use of ANPR is primarily limited to police
forces in order to track down any instances of
criminal behavior. Additionally, the technology
is also applied in many UK Motorways to ascertain
the travelling speed of the vehicles. However,
the application of ANPR is not limited to only
this. It strikingly aids in ensuring the security
and safety of the public and for supporting
efficiencies in transportation and vehicle
infrastructural development. Some of the use
cases of this technology includes traffic
management, tolling, car park management, journey
time analysis, bus lane enforcement, and so on.
This technological tool is used for providing
assistance to the law enforcement personnel and
to ensure the continued and optimal safety of all
road commuters. It is offering safety and
security of citizens across the world and is
evolving with advancements to improve the
effective transport flow of people in real-time.
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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
Global Global Automatic Number Plate Recognition
(ANPR) Market - Geographical Analysis
The global automatic number plate recognition
market was globally led by Europe back in 2017.
The region held more than one-third of the global
market. The region is further expected to grow
during the ongoing forecast period with the
highest CAGR of 10.5. This is due to the high
adoption rate of the technology in countries like
the UK, France, Germany, the Netherlands, and
others.
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Global Automatic Number Plate Recognition (ANPR)
Market Forecast To 2023
Global Global Automatic Number Plate Recognition
(ANPR) Market - Competitive Analysis

• Some of the key players in the global automatic
  number plate recognition market include Neology,
  Inc., Kapsch TrafficCom AG, Conduent Inc.,
  Tattile SRL, Siemens AG, Jenoptik Group, Vigilant
  Solutions, Bosch Group, Leonardo Company, and
  Genetec Inc.
• June 2019, the Department of Transport in the UK
  announced its plans for activating cameras that
  can identify vehicles that are way too noisy or
  loud. The cameras will be soon tested across the
  UK and will hopefully aid in catching hold of car
  drivers who exceed the legal noise pollution
  limit. The ANPR technology will be integrated in
  the cameras to listen to the noise emitted by the
  vehicles.

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