Tín Bảo Lan (TBL)
Vaxtor Solutions License Plate Recognition Software supporting any camera
-The highly advanced and mature Vaxtor ALPR engine in available on PCs running Windows or Linux and can be connected to multiple cameras using standard protocols such as ONVIF / RTSP or GigE. The ALPR engine recognizes license plates in real time on fast-moving traffic across several lanes simultaneously.  

-Vaxtor’s engine has been specifically designed to utilise existing CCTV or machine vision cameras deployed in the real-world enabling any installer to provide an ALPR system with ease. Supporting nearly 200 countries and recognising Latin, Arabic and Thai character sets, the Vaxtor engine performs at the very highest level of accuracy whilst minimising system hardware requirements.

-The engine supports multiple reporting options simultaneously and can be upgraded to perform high accuracy MMC (Make, Model and Colour identification) and VClass (Vehicle type classification) in real time. 
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Multi-Platform OCR Engine  
  Windows 32/64 bit (Server 20XX, 8,10), Debian Linux GNI 1.4+, Ubuntu 8.04+,
Country-Independent Engine  Multi Neural-net supports Latin, Arabic & Thai Characters.
Input Image Format  BMP24, JPEG, YUY2, RGB, Gray8, 5MB maximum image size.
 Operating Mode  Free-flow & Triggered
 Plate Formats  Rectangular or square 2/3 line plates Dark character on light background Light character on dark background
 Character Height  14 – 70 pixels
 Direction Reporting Towards, Away & Unknown 
 High Accuracy Recognition rate above 99.6% in independent trials 
 High Speed Operation Up to 250kph 
 Wide or Multi-Lane Each connected camera can monitor traffic in single, wide or dual lanes 
 Complex Scenario Support Directional filtering, Multiple regions of interest and direct I/O support enable filtering and actions using polygons with inclusions or exclusions and direction. 
 Plugins Expandable, modular options allow the system to grow with you and your customer including ADR (dangerous goods), iSpeed, MMC (Make, Model & Colour) and VClass (types of vehicles). 

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