Thursday 4 July 2013

Portuguese ANPR Systems

Portuguese ANPR Systems

Our Compliance and Quality Management software has been extended to encompass titanHz ANPR (Automatic Number Plate Recognition) technology. This system, called Portuguese ANPR Systems (Automatic Number Plate Recognition), is highly flexible suite of web-based software and hardware that can automatically read number plates by converting pictures into number plate text strings. The number extracted from the picture can then be used in a range of different control situations, either by Compliance or other enterprise management systems. Portuguese ANPR Systems (Automatic Number Plate Recognition) is a fully integrated turnkey system involving software, hardware and communication networks that can be configured many different ways to suit your requirements. Portuguese ANPR Systems (Automatic Number Plate Recognition) uses ANPR (Automatic Number Plate Recognition) technology as the basis to enable number plates to be extracted from standard video streams or still pictures. Portuguese ANPR Systems (Automatic Number Plate Recognition) is a mass-surveillance method that uses Optical Character Recognition (OCR) on images to read the number-plates on any vehicle. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. Portuguese ANPR Systems (Automatic Number Plate Recognition) can be used to store the images captured, as well as the text from the number plate. It is also able to store a photograph of the driver. Our system commonly uses infrared lighting to allow the picture to be taken at any time of the day. ANPR (Automatic Number Plate Recognition) technology tends to be region specific, owing to variation of number plates from place to place. Initially image manipulation techniques are used to detect, normalise and enhance the image of the number plate. Then the Optical Character Recognition (OCR) is used to extract the alpha-numerics of the number plate.
The ANPR (Automatic Number Plate Recognition) engine is the true genius behind the Portuguese ANPR Systems (Automatic Number Plate Recognition) system, and uses the ANPR (Automatic Number Plate Recognition) engine by Adaptive Recognition Portuguese. The key task of the ANPR (Automatic Number Plate Recognition) engine is to provide accurate reading capability “tuned” specifically for a country’s number plates style. ANPR (Automatic Number Plate Recognition) engine has been tuned for Brazil plates, providing brilliant accuracy and speed of resolution. Portuguese ANPR Systems (Automatic Number Plate Recognition) complements this technology perfectly by providing the complete solution, designed to suit the environment. This ensures the ANPR (Automatic Number Plate Recognition) Technology will provide you with the maximum advantage
Functional use of Portuguese ANPR Systems
Portuguese ANPR Systems (Automatic Number Plate Recognition) is also finding favour within non-supervised car parks as a means to control access via a white list. This white list contains a list of vehicles with known access rights. Suitable for hotel, apartment and company car parks, this negates the use of disposable paper tickets and wireless FOBs. Companies with large fleets are introducing Portuguese ANPR Systems (Automatic Number Plate Recognition) as a cost effective method of tracking their vehicles throughout their depots. Large supermarkets and chains are also beginning to utilize the information obtained from their car-parks as a way of highlighting demographic patterns with a view to maximizing profits. For any traffic management system to be a success, the read rate must exceed 99%. Traditionally most operators shied away from Portuguese ANPR Systems (Automatic Number Plate Recognition) when they discovered that their true read rates were rarely above 60%. In real world applications, this was the limit, not due to poor software but the result of using conventional CCTV systems to obtain the images. CCTV technology is 50 years old and does not lend itself well to computer recognition systems.

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1 comment:

  1. Thanks for sharing such a wonderful blog......
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    ReplyDelete