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. 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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Ensuring Security and Safety in Roads

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.

Increasing Adoption Ahead

The global automatic number plate recognition system is on a constant rise. Market Research Future (MRFR) predicts that the global market will reach a valuation of USD 1100 million by 2023, thereby jumping from its previous tally of USD 670.7 million in 2018.

The growth of the market can be attributed to the number of stringent traffic laws enforced by governments across the globe. The increasing number of vehicle parc is prompting the adoption of several advanced traffic management methodologies like ANPR.

Key Players

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.

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