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A.N.P.R Print E-mail
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A.N.P.R
Page 2

Redcorn now uses the latest A.N.P.R units. These units were supplied by QRO Solutions, a leading company in ANPR systems. ANPR stands for Automatic number plate recognition; this new technology enables us to easily recognise untaxed or uninsured vehicles. A detailed description of how it works is outlined below.

 

What is A.N.P.R?
The ANPR was invented in 1976 at the Police Scientific Development Branch in the UK. Prototype systems were working by 1979 and contracts were let to produce industrial systems. Early trial systems were deployed on the A1 road and at the Dartford Tunnel. The first arrest due to a detected stolen car was made in 1981.


A.N.P.R Automatic number plate recognition

Automatic number plate recognition is a mass surveillance method that uses optical character recognition on images to read the licence plates on vehicles. As of 2006, systems can scan number plates at around one per second on cars travelling up to 100 mph (160 km/h). They can use existing closed-circuit television or road-rule enforcement cameras, or ones specifically designed for the task. They are used by various police forces and as a method of electronic toll collection on pay-per-use roads, and for law enforcement such as identifying untaxed vehicles.
ANPR can be used to store the images captured by the cameras as well as the text from the licence plate, with some configurable to store a photograph of the driver. Systems commonly use infrared lighting to allow the camera to take the picture at any time of day. A powerful flash is included in at least one version of the intersection-monitoring cameras, serving to both illuminate the picture and make the offender aware of his or her mistake. ANPR technology tends to be region specific, owing to plate variation from place to place.
Concerns about these systems have centred on privacy fears of government tracking citizens' movements and media reports of misidentification and high error rates. However, as they have developed, the systems have become much more accurate and reliable.


 
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