Skip to main content

Onssi and Vaxtor partner on license plate recognition integration

Vaxtor Corporation’s (Vaxtor) advanced LPR analytics platform can now be deployed across Onssi’s Ocularis VMS platform to recognize, capture and archive data on license plates, railway vehicles, U.S. Department of Transport (USDOT) numbers and more as part of an integration partnership between both companies. The agreement, according to Onssi’s Ken LaMarcam VP of sales & marketing, allows the solution to deliver a range of security and operations data to meet the specific challenges of the transportation
February 12, 2018 Read time: 2 mins

Vaxtor Corporation’s (Vaxtor) advanced LPR analytics platform can now be deployed across 677 Onssi’s Ocularis VMS platform to recognize, capture and archive data on license plates, railway vehicles, U.S. Department of Transport (USDOT) numbers and more as part of an integration partnership between both companies. The agreement, according to Onssi’s Ken LaMarcam VP of sales & marketing, allows the solution to deliver a range of security and operations data to meet the specific challenges of the transportation and law enforcement markets.

The Vaxtor LPR solutions include the capture of OCR, MMR (year, make and model of vehicles), USDOT, Railway, Container, Red Light and Wrong Turn detection integrations. The analytics are said to recognise letters, numbers and symbols both vertically and horizontally. Ocularis is available as a professional model for organisations operating multiple locations with small to mid-sized camera counts as well as an Enterprise version for a range of mid to large IT-centric companies. In addition, the Ultimate model is aimed at large clients with extended command and control needs and recording server failover.

Michael Deutsch, executive management consultant, Vaxtor, said: “The integration of our LPR and OCR analytics provides highly functional and reliable data capture capabilities. End users can now capitalize on the valuable rich data contained in printed text and numbers, with the confidence that the information is both highly accurate and instantly accessible.”

For more information on companies in this article

Related Content

  • Machine vision makes progress in traffic applications
    June 2, 2014
    Machine Vision technology is easing the burden on hard-pressed control room staff and overloaded communications networks.
  • ITS instrumental in reducing Texan congestion
    September 4, 2018
    ITS projects in the Houston area have seen costs crunched – and even a system failure has proved valuable in analysing performance. David Crawford reports on developments in the Lone Star state Savings by Texan public agencies are major factors in the recent ITS Texas awards, recognising beneficial initiatives in bridge strike prevention and traffic intersection control. In the first, the Texas Department of Transportation (TxDOT)’s Houston District, covering the state’s most populous city and its surround
  • ISS launches rapid plate recognition
    February 6, 2013
    Image Sensing Systems (ISS) has introduced what it claims is the fastest, most accurate automated licence plate recognition (ALPR) engine in the world with its CitySync rapid plate recognition technology. The rapid plate recognition technology reads a licence plate numerous times and uses multiple advanced methods for both optical character recognition and plate finding for each plate read. The system looks for objects and then initiates multiple processing techniques that run concurrently on vehicles trave
  • ITS Australia Awards 2023: winners shine in 'period of great resurgence'
    February 23, 2023
    Awards reflect the 'outstanding productivity, innovation, and creativity' of ITS sector