Vision Components’ ANPR library identifies damaged plates

Vision Components’ Carrida software engine is a powerful OEM Library, which is easy to integrate into existing security and surveillance applications, including access control, toll control and traffic analysis. The high-performance, hardware-independent software tool assures reliable high speed recognition of vehicle number plates. With a typical processing time of 30ms and a recognition accuracy of more than 96%, the ALPR/ ANPR library precisely and reliably identifies number plates, even if dirty, dam
October 29, 2014 Read time: 1 min
7918 Vision Components’ Carrida software engine is a powerful OEM Library, which is easy to integrate into existing security and surveillance applications, including access control, toll control and traffic analysis. The high-performance, hardware-independent software tool assures reliable high speed recognition of vehicle number plates.

With a typical processing time of 30ms and a recognition accuracy of more than 96%, the ALPR/ ANPR library precisely and reliably identifies number plates, even if dirty, damaged or skewed. The software can be used throughout the world and recognises international number plates with more than 90% accuracy, even in changing lighting conditions.        

Two-line vehicle plates are also recognised without any problem. Carrida is suitable for use with Windows- or Linux-based embedded systems and reads all common still image and video formats. An API enables integration into applications via the programming languages C/C++, .NET, Borland Delphi, Python, or C#.









Hall 1, Stand F42
%$Linker: 2 Asset <?xml version="1.0" encoding="utf-16"?><dictionary /> 4 101232 0 oLinkExternal <span class="mouselink">www.Vision-Components.com</span> <br /> Vision Components Website false /EasySiteWeb/GatewayLink.aspx?alId=101232 false false%>
Detection, Monitoring & Machine Vision

Related Content

  • October 29, 2014
    On Semiconductor advances image sensing solutions
    With the recent acquisitions of Truesense Imaging and Aptina Imaging, ON Semiconductor is now a major supplier of high-performance image sensor solutions used in intelligent transportation systems (ITS), including traf¬fic enforcement, intersection monitoring, and automated number plate recognition (ANPR).
    Read More
  • September 26, 2012
    ITS Austria hosts Austrian technology at World Congress
    Austria is hosting the ITS World Congress, so you might expect something special on the ITS Austria stand. Well you are not going to be disappointed! About 40 Austrian companies will be represented on Stand E10 to show their products and services. For example, together with the Vienna Transport Authority, Telereal will show its ‘multi-sensual’ sign system, a new type of info point for people with hearing, visual or physical impairments.
    Read More
  • October 22, 2012
    ISS Europe and CitySync showcase Jet-Aludra intelligent ANPR camera
    Image Sensing Systems Europe and CitySync, specialists in detection and ANPR solutions for the ITS market, have used the ITS World Congress to showcase the Jet-Aludra which incorporates an IR ANPR camera, colour overview camera and an on-board processor. This cost effective Intelligent ANPR camera processes images at the time of capture, so smaller packets of information can be transferred via wireless 3G or wired connections to a central server for review or directly to a police back office facility, match
    Read More
  • March 25, 2014
    Tattile shows ANPR Mobile and Vega Color solutions
    Leading Italian ITS company Tattile is here at Intertraffic to expand its product range with the launch of new products, including ANPR Mobile and Vega Color. ANPR Mobile, a new cutting-edge technology in support of police forces, incorporates Megapixel sensors enabling it to scan over 100 number plates per second, front and rear, at any light condition. The newly-launched system needs neither embedded processing units nor physical connection between the cameras and the on-board computer/tablet.
    Read More

Highlighted Content