The Global Market for Automatic Number Plate Recognition Systems is Projected to Reach US$1 Billion by 2020
Strict Enforcement of Traffic Discipline Drives the Automatic
Number Plate Recognition Systems Market, According to a New Report by Global Industry Analysts, Inc.
GIA announces
the release of a comprehensive global report on Automatic Number Plate
Recognition Systems. The
global market for Automatic Number Plate Recognition Systems is projected to
reach US$1 billion by 2020, driven by the sharp rise in traffic violations
and the resulting strict enforcement of traffic rules and fines.
Vehicle Identification
Number (VIN), defined as the DNA of an automobile, plays an important role in
tracking vehicles for recalls, road user e-tolling, warranty claims, thefts,
traffic violations, and insurance coverage, among others. Vehicle Number Plate
Recognition technologies have evolved, over the years, from manual
identification to automated systems. Traditional identification techniques include
noting down the registration number, capturing images of number plates with hand
held cameras, and manually searching the database for matches.
Automated techniques,
on the other hand, involve the use of barcodes, RFID tags and automatic number
plate recognition (ANPR) systems. An ANPR system is a mass surveillance system
that automatically establishes vehicle registration number by running optical
character recognition on images captured by strategically placed cameras.
Sales of ANPR
systems are forecast to grow strongly supported by technology benefits, such
as, ease-of-use, and high levels of accuracy in real time identification of
vehicles. Also poised to spur growth in the market is the rapidly expanding application
of these systems in toll collection, parking management, journey time
measurement, access control, and border control. Advancements in algorithm and processing capabilities, development of smarter cameras, and
integration of advanced features such as global positioning system (GPS) based
tracking and 3D-analysis are helping improve product performance.
Law enforcement
represents a major end-use market for ANPR systems. Escalating crime rates and
increasing use of vehicles for committing crime present a strong business case
for the adoption of vehicle identification technologies in this sector. Strategically
placed ANPR cameras at gas stations, traffic islands, highways and intersections
work as mass surveillance systems, helping law enforcement agencies to
monitor movement of vehicles. ANPR systems also find use in traffic violation
control, helping officials identify vehicles violating road safety rules such
as over-speeding, jumping a red signal, or inappropriately using dedicated bus
or pedestrian lanes, among others. Automatic license plate recognition systems
are also used for tracing uninsured vehicles, and vehicles with outstanding
traffic violation cases and default tax payments.
As stated by
the new market research report on Automatic
Number Plate Recognition Systems, Europe
represents the largest market worldwide. Asia-Pacific is forecast to emerge as
the fastest growing market led by China, which is projected to grow at a CAGR
of 18.5% over the analysis period. Growth in the region is led by growing
investments in intelligent transportation technologies, establishment of new Electronic
Tollgates in major highways and motorways, growing number of vehicles on road
and the ensuing need for effective mass surveillance systems to enforce
discipline.
Major players covered
in the report include 3M, ARH, Inc., CA Traffic Limited, Captec Ltd., ClearView Communications Limited, COBAN
Technologies, Digital Recognition Systems Ltd., DTK Software, ELSAG North America LLC,
FLIR Systems Inc., Gtechna, Inc., HP
Autonomy, Image Sensing Systems Inc., IP-Surveillance.com.au Pty Ltd., NDI
Recognition Systems Ltd., Parkare Group, Petards Group Plc, PlateSmart
Technologies, Inc., Q-Free ASA, Quercus Technologies, Siemens AG, Tattile Srl, The Bosch Group, Vigilent
Solutions, Inc., Vysionics Intelligent Traffic Solutions Ltd., and Zhejiang Dahua
Technology Co., Ltd., among others
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