NUMBER PLATE READING SOFTWARE

LPR systems
Eyedea Recognition develops and delivers own Automatic Number Plate Reading software (ANPR). We specialize mainly in high-end ANPR solutions optimized according to customer specifications.

Eyedea Recognition produces a license plate reading software both for static and moving (hand-held) systems.

Number Plate Reading Software for static cameras

LPR systems

Function: The ANPR software detects number plates within a given image and reads a given text. The system can be completed by a car category/make/model recognition module and by a face detection module.

Main features:

  • extremely effective and fast number plate detector
  • OCR engine designed especially for number plate reading
  • SDK enabling a simple integration into a customer's solution
  • all the engines are optimized for customer's specific conditions (i.e. for specific cameras, CPU, lighting conditions, localization etc.)
  • the software can be configured for arbitrary number plate type (shape, color etc.) and different fonts including both latin and non-latin characters

Applications:

  • toll-systems
  • average speed limit monitoring
  • traffic monitoring
  • traffic data collection
  • travel time measurement
  • traffic law enforcement (speed and red-light violation cameras)

Product: The ANPR software is distributed as a SDK containing a dynamic-link library, a simple example, a demo-application and documentation.

References:
The Eyedea ANPR engines power the CAMEA UNICAM ANPR system installed in many parts around the world.

Eyedea Recognition provides the high-end Number Plate Reading software. The engines are based on adaptive algorithms enabling automatic optimization for integrator's specific conditions (i.e. for specific cameras, CPU, lighting conditions, localization etc.).


 

Number Plate Reading Software for moving cameras

Real-time number plate detection and recognition up to ±60º in any direction from frontal view.

Applications:

  • hand-held systems
  • mobile systems for police cars
  • mobile LIDAR systems
  • security monitoring

Input: bitmap image (with one or more cars) or image stream

Output:

  • detected number plate positions
  • normalized number plate image
  • plate number in ASCII / unicode
  • plate number confidence
  • alternative hypothesis

Accuracy: >90%

Supported platforms:

  • Windows
  • Linux/Unix
  • Solaris

Product: System is delivered as a stand-alone application or as a dynamic-link library.

References:
The Eyedea ANPR engines power the CAMEA UNICAM system installed in many parts around the world.