Autocode Traffic for VMS

Used along with VMS software Autocode Traffic for VMS allows automatically recognize license plate on high-speed objects (such as roads, highways, bridges etc.), record traffic violations, identify vehicles under investigation and analyze traffic flows.

AutoCode Traffic for VMS software complex has the following features:
  • live traffic observation, gathering and analyzing the data;
  • recognized license plates database;
  • license plates archive search option;
  • numerous wanted vehicles lists creation;
  • creating and transmitting alerts to VMS;
  • audio and visual alarms;
  • detailed entries list;
  • photo and video archive creation;
  • multi-level access system.

  • recognition rate – up to 96% (as a result of single-channel Russian plates recognition testing in 2007 during Interpolitech exhibition (PRO System CCTV 05[29] September-October 2007);
  • more than 30 countries’ plates recognition;
  • up to 10 plates recognition per frame.

Unlike most other recognition systems AutoCode Traffic for VMS works perfectly with side cameras positioning:
  • camera’s vertical angle is up to 40°;
  • horizontal angle is up to 30°;
  • license plate angle in respect of the road surface may be up to 10°.


NUUO Company provides complex solutions based on advanced technologies that unite video control cameras into a single intellectual system. Combination of network registers and hybrid technologies with intellectual video servers ensured market success of the Company.
NUUO offers reliable and efficient digital video control systems. The Company’s products have been installed on more than 94800 projects in 65 countries. Those projects include public transport, education, governmental structures, banks, hotels, health facilities, casinos and industrial objects.
NUUO’s Mainconsole product line is a finalized solution for recording and processing data of three video sources (IP, HD-SDI, SD-CCTV). It provides flexibility and a wide range of functions in order to meet various needs of every specific project.
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