ISS Autoscope EX-122 exceeds UK national ANPR standards

Independent tests have shown that Image Sensing Systems’ Autoscope Ex-122 automatic number plate recognition (ANPR) camera and CitySync LPR engine exceed the new UK National ANPR Standards for Policing (NASP) performance requirements. Issued by Home Office on behalf of the Association of Chief Police Officers (ACPO), the standards require fixed installation ANPR systems to achieve a capture rate of at least 98 per cent of vehicle licence plates passing the camera and a correct read rate of at least 95 per c
June 20, 2014 Read time: 2 mins
Independent tests have shown that 6626 Image Sensing Systems’ 6575 Autoscope Ex-122 automatic number plate recognition (ANPR) camera and CitySync LPR EngiNe exceed the new UK National ANPR Standards for Policing (NASP) performance requirements.

Issued by Home Office on behalf of the Association of Chief Police Officers (ACPO), the standards require fixed installation ANPR systems to achieve a capture rate of at least 98 per cent of vehicle licence plates passing the camera and a correct read rate of at least 95 per cent of those captured plates.

Developed in partnership with 521 CA Traffic, the dual lane Autoscope Ex-122 intelligent camera, incorporating the Autoscope ANPR software and EngiNe was tested against NASP criteria using a camera installed over a two-lane highway on two separate days with varying weather conditions.  The results achieved were a capture rate of 98.74 per cent and a correct read rate of 99.61 per cent.

“We believe this sets the standard for other ANPR camera suppliers to achieve”, said Bernard Greene, managing director of CA Traffic. “The fruits of our Technology Exchange Agreement with ISS are now clear for all to see. The synergy between our camera and the ISS software is compelling.”

“We are very pleased with the results of this independent test”, said Nico Bekooy, chief development officer of Image Sensing Systems. “The combination of our world-renowned 539 CitySync ANPR EngiNe with the highest quality fixed camera provide our customers with the best ANPR solution available on the market today.”
Detection, Monitoring & Machine Vision

For more information on companies in this article

Related Content

  • ANPR library identifies even damaged number plates
    December 11, 2014
    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.
    Read More
  • Hella and Autoliv sign license and cooperation agreement
    May 18, 2012
    Hella Aglaia Mobile Vision, a subsidiary of Hella KGaA Hueck & Co., and Autoliv have agreed to cooperate and further develop their automotive forward-looking vision systems together. As part of the agreement that bundles the competencies of both companies, Hella Aglaia is selling an exclusive license on monovision based algorithms for traffic sign recognition (TSR), lane detection and light source recognition to Autoliv. By monitoring traffic signs, TSR helps the driver to keep the correct speed and follow
    Read More
  • Vitronic to supply Netherlands truck toll observation system
    July 12, 2024
    From 2026, truck owners will pay a fee based on kilometres driven on highways
    Read More
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
    Read More

Highlighted Content