Skip to main content

London Borough deploys Videalert automated enforcement systems

Following a successful pilot scheme, the London Borough of Bromley is installing a Videalert automated enforcement system in a bid to increase road safety outside five schools that have been experiencing high levels of inconsiderate behaviour from parents parking on the yellow keep clear areas. It is also deploying unattended CCTV enforcement systems on all its bus lane locations to upgrade the existing manually operated systems and provide automatic capture of offending vehicles’ number plates. The co
July 6, 2016 Read time: 2 mins
Following a successful pilot scheme, the London Borough of Bromley is installing a 7513 Videalert automated enforcement system in a bid to increase road safety outside five schools that have been experiencing high levels of inconsiderate behaviour from parents parking on the yellow keep clear areas.

It is also deploying unattended CCTV enforcement systems on all its bus lane locations to upgrade the existing manually operated systems and provide automatic capture of offending vehicles’ number plates.  The contract has been awarded to OpenView Security Solutions, a leading provider of CCTV systems to local authorities, under the ELS framework agreement, which is available to all London boroughs.
 
The system combines automatic number plate recognition (ANPR) with video analytics; using a single PTZ camera, it continuously monitors the keep clear zones and automatically captures only drivers that are stationary in defined ‘watch areas’ and exceed the ‘watch times’. Evidence packs are automatically created for review by a qualified operator before sending them to back office PCN processing systems.

Related Content

  • CCTV vehicle launches at Parkex
    April 16, 2015
    UK supplier of traffic enforcement and management solutions, Videalert, is unveiling a revolutionary new CCTV vehicle at Parkex 2015. The vehicle features two digital HD cameras and can be deployed for unattended or attended operations and combines ANPR with video analytics to automatically deliver highly accurate video evidence of vehicles that commit civil traffic offences. It can also simultaneously provide vehicle plate read data to Police ANPR databases (BOFII) and traffic management systems (UTM
  • Xerox counts on machine vision for high occupancy enforcement
    October 29, 2014
    Machine vision techniques can provide solutions to some of the traffic planners most enduring problems With a high proportion of cars being occupied by the driver alone, one of the easiest, most environmentally friendly and cheapest methods of reducing congestion is to encourage more people to travel in each vehicle. So to persuade people to share rides, high occupancy lanes were devised to prioritise vehicles with (typically) three of more people on board and in some areas these vehicles are exempt from
  • Leeds orders CCTV vehicle to reduce congestion and improve safety
    March 28, 2018
    Leeds City Council has received a new mobile enforcement vehicle from Videalert to target key areas where non-compliant drivers cause congestion or safety issues. It will also provide unattended enforcement of offences such as parking on city centre bus stops and school keep clear markings. Videalert’s system automates the construction of video evidence packs which are reviewed by council operatives prior to sending confirmed offences to the back-office processing system for the issuance of penalty charge
  • Leeds City Council expands bus lane enforcement system
    November 17, 2015
    Leeds City Council is expanding the reach of its CCTV enforcement network to a further six sites as a direct result of the improvements that the Videalert-based system has delivered over the last four years. The council will now be enforcing bus lane contraventions at thirty sites throughout the city and expects to achieve further reductions in the number of offences committed and continue to meet its strategy of faster journey times for public transport users. The Videalert system was originally in