ISS launches rapid plate recognition

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
February 6, 2013 Read time: 2 mins
6626 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 539 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 travelling at speeds up to 190 km/h. ISS claims the technology delivers a state of the art engine that outperforms other recognition engines on the market.

 “The rapid plate recognition technology captures key licence plates in crime situations, parking and security access applications,” said Kris Tufto, CEO of Image Sensing Systems. “In several tests by multiple municipalities worldwide, our rapid plate recognition technology routinely read a higher percentage of plates than any other licence plate recognition system. This best-in-class technology can be the differentiator in making an arrest, earning ticket revenue, or securing a facility, for all law enforcement, parking and security organisations.”
Detection, Monitoring & Machine Vision Enforcement

Related Content

  • June 7, 2012
    Camera technology a flexible and cost-effective option
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti
    Read More
  • March 30, 2012
    Image Sensing Systems strengthens team
    Image Sensing Systems has announced that Mark S. Phillips has been appointed as the company's business development manager of CitySync automatic licence plate recognition (ALPR) products for North and South America, reporting to Dan Skites, company VP of sales and marketing. Phillips joins the company from Federal APD, parking – access control and revenue management systems, where he was a regional sales manager of the Southwestern District.
    Read More
  • March 14, 2014
    New radar-based detection from ISS
    Image Sensing Systems (ISS) has added the Autoscope RTMS Sx-300 to its traffic management product range, providing accurate, advanced vehicle detection, and the ability to detect up to 12 lanes of simultaneous detection, reporting vehicle presence as well as volume, occupancy, speed and classification information. The device provides a fully automated set-up feature that self-detects and self-calibrates detection zones, providing users with a simple and cost effective installation process. The combi
    Read More
  • October 29, 2014
    ITS need not reinvent machine vision
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val
    Read More

Highlighted Content