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Automatic Number Plate Recognition (ANPR) SDK

Car number plate

ATAPY ANPR SDK is a specialized software product for Logistics and Transportation industry featuring Automatic car Number Plate Recognition (ANPR) technology. It is designed for systrem integrators and software application developers who wish to incorporate Automatic Number Plate Recognition technology into their software applications. ATAPY ANPR SDK is based on OCR technology by our partner ABBYY Software House. It is a flexible solution capable of working with practically any Windows-based external software system and image capture device (camera), and can be tailored to meet specific customer requirements.

ATAPY ANPR SDK features

  • High recognition accuracy. The SDK is powered by one of the industry's most precise OCR products - an OCR engine by ABBYY Software House
  • International number plate reading capability: guaranteed performance on German, Swedish, Dutch, Russian, and Austrian (selected types) number plates, quickly extendable to support new number plate types
  • Automatic geometric skew/tilt correction (up to 30°)
  • A Mobile Version of the SDK is available, providing recognition on the mobile device

ATAPY ANPR SDK: Areas of Use

ATAPY ANPR SDK is is based on ABBYY FineReader Engine 7.1 and 8.1 and is best suitable for operating at vehicle control points where cars slow down to 20 km/h or less. This version of the SDK can be used to build a variety of applications, such as

Access control applications:

  • Controlled and automatic vehicle entry to and exit from controlled/restricted areas
  • Parking lot management systems
  • Toll road monitoring and surveillance system (control points)

Security and maintenance systems:

  • Public transport enforcement systems
  • Border security
  • Vehicle weight enforcement systems
  • Petrol Station security
  • Fleet management/inventory management systems
  • Journey Time Measurement Systems

ATAPY ANPR SDK: Mobile Version

The Mobile Version of ATAPY ANPR SDK is based on ABBYY Mobile SDK and requires only a mobile device with an autofocus camera running Windows Mobile 6 or higher; it has small footprint and allows recognition on the device itself. Areas of use:

  • Street and car park audits
  • Mobile vehicle assessments for insurance claims, auction, sales, etc.
  • Police Enforcement
  • Fleet management and inventory control systems
  • Parking lot monitoring

SDK Input

ATAPY ANPR SDK can accept input images from any digital camera, monochrome or color, as long as they meet the following requirements:

  • Format: BMP, JPEG, JPEG 2000, GIF, PNG (photo), DivX, Motion JPEG (video)
  • Image resolution: not lowed than 96 dpi
  • No blur, pixelation, optical and perspective distortions, shadows, over- or underexposed spots
  • The number plate width is not smaller than 100 px

The image capture point must meet the following conditions:

  • Sufficient illumination (at least 300 luces); all parts of the number plate are equally illuminated
  • Skew/tilt of license plate: not more than 30 degrees
  • Vehicle speed: not more than 20 km/h
  • Distance between vehicles: at least 5 meters

SDK Output

The output of the SDK is the recognized number as a text string of letters and digits, the source image, the extracted image of the number plate, and a set of additional data including the coordinates of characters, plate borders, recognition confidence level (in percent), and other possible recognition versions for uncertainly OCRed characters with their estimated confidence level.

The OCR results may later be used for matching against a database to find out if the vehicle is stolen, on the white/black list, etc., depending on the goals of the external application. The SDK can be tailored to practically any particular requirements, in order to fit into the required system.

ATAPY ANPR SDK Package

The ANPR SDK package includes:

  • Automatic Number Plate Recognition engine
  • Functions library (.NET, COM, C++)
  • Demo GUI application
  • Developer documentation and a sample application

Demo Access Control application: the image analysis process 

(on the example of Russian license plates)

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