Transparency Market Research Report Added "Automatic Number Plate Recognition Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2014 - 2020" to its database.
Albany, NY -- (SBWIRE) -- 09/02/2014 -- Automatic number or license plate recognition is a software technology enabling computer systems to read the license registration number of vehicles from the captured digital pictures. Automatic number or license plate recognition is a type of optical character recognition (OCR). Automatic reading of the registration number requires transformation of the pixels of digital images into the ASCII text of the number plate. From the automatic number plate recognition point of view the quality of image is a key factor.
Growing demand from law enforcement agencies across the globe is leading to growing market for automatic number plate recognition. Rise in incidents of crime is leading to growing demand for automatic number plate recognition in mass surveillance systems. Further, over the last few years, advancements in algorithm and products have significantly improved the performance of automatic number plate recognition systems and this is leading to increasing demand as the reliability has increased. Adding features to read different languages apart from English represents a significant opportunity in the market as it would lead to higher adoption in developing regions such as China, India, and Middle East. The current systems provide the ability to read plate types alongside the plate characters.
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In order to capture fast moving vehicles special techniques such as technique to avoid motion blur are needed to be used. However, this reduces the recognition accuracy and thus presents a challenge in this market. Growing focus on intelligent transportation systems (ITS) across the globe is expected to drive the growth in adoption of automatic number plate recognition system over the coming years. Emergence of smarter cameras would lead to further growth of automatic number plate recognition systems market. Moreover, integration of features such as 3D-analysis and global positioning system (GPS) based tracking represents a significant growth opportunity n this market. The types of automatic number plate recognition systems include both fixed and mobile systems.
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It is further expected that automatic number plate recognition systems would increasingly be used in applications such as law enforcement; average speed enforcement; journey time information systems, border control; access control; and tolling. Tolling is displaying tremendous potential for the growth of automatic number plate recognition systems as governments are looking to divest the cost of road building.
Players in this market are increasingly offering customized solutions in order to meet industry-specific needs such as those for airports, toll roads, universities, car parks, labs, seaports, private businesses and others. The market for automatic number plate recognition systems is fragmented with high competition among multiple small and large players.
Some of the key players in this market include The 3M Company, ARH, Inc., Captec Ltd., CA Traffic Limited, ClearView Communications Limited, Digital Recognition Systems Ltd., COBAN Technologies, DTK Software, FLIR Systems, Inc., ELSAG North America, Gtechna, Inc., Image Sensing Systems, Inc., HP Autonomy, NDI Recognition Systems, Vigilant Solutions, Inc., IP-Surveillance.com.au Pty Ltd., Parkare Group, Q-Free ASA, Petards Group Plc, Quercus Technologies, Tattile Srl, Siemens AG, Bosch Group, Vysionics Intelligent Traffic Solutions Ltd., Vigilant Solutions, and Zhejiang Dahua Technology Co., Ltd., among others.
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