London Borough deploys next generation digital ANPR system

The London Borough of Enfield is deploying the latest digital ANPR system from Videalert as part of a major ongoing contract with OpenView Security Solutions Limited, the council’s incumbent provider of CCTV installation and support services and one of the UK’s largest independent security system integrators. The system has already been installed at eight locations, where it has replaced the existing legacy NDI Recognition Systems equipment, and will be extended to a further fourteen locations across the b
April 26, 2016 Read time: 2 mins

The London Borough of Enfield is deploying the latest digital ANPR system from 7513 Videalert as part of a major ongoing contract with OpenView Security Solutions Limited, the council’s incumbent provider of CCTV installation and support services and one of the UK’s largest independent security system integrators.  The system has already been installed at eight locations, where it has replaced the existing legacy NDI Recognition Systems equipment, and will be extended to a further fourteen locations across the borough as part of a total replacement and upgrade strategy.
 
This future-proofed platform uses the latest IP-based cameras and has been deployed at Enfield’s Public Safety Centre depot.  It uses sophisticated capture methods to deliver accurate vehicle plate read data to Police ANPR databases (BOFII and the latest Metropolitan Police Service database standard) for crime prevention as well as to traffic management systems (UTMC) to help reduce congestion.  
 
Videalert says Enfield will achieve significant cost savings through the system’s ability to simultaneously run a wide range of additional traffic management and community safety applications without having to procure multiple legacy point solutions. This could include the real time capture of vehicle information for improved predictability of average journey times and incident detection, utilising the same camera assets.

Detection, Monitoring & Machine Vision

Related Content

  • June 20, 2014
    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
    Read More
  • June 2, 2014
    Machine vision makes progress in traffic applications
    Machine Vision technology is easing the burden on hard-pressed control room staff and overloaded communications networks.
    Read More
  • June 11, 2015
    Machine vision’s image of road management’s future
    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
  • May 19, 2017
    Trials of new technologies to counter age-old work zone challenges
    New solutions are being used to improve the management and safety of work zones on roads both big and small, as Jon Masters discovers. The UK government has recently been going to some lengths to paint a picture of a nation embracing a future of digital technology – understandably given the economic concerns arising from exiting the European Union. In December last year, however, the UK National Infrastructure Commission (NIC) put down a somewhat different marker for where the UK is now in terms of mobile c
    Read More

Highlighted Content