PIPS SpeedSpike receives UK type approval

PIPS Technology has announced the official launch of the UK Home Office Type Approved SpeedSpike average speed enforcement system. Developed as a cost effective distance over time speed enforcement system, the system can be deployed as main road speed enforcement on motorways, urban speed enforcement in town and city centres or local short distance speed enforcement outside schools and colleges. By linking anywhere up to 1,000 cameras in any one system, PIPS says that SpeedSpike can enforce speeds ranging f
May 18, 2012 Read time: 2 mins
37 PIPS Technology has announced the official launch of the UK Home Office Type Approved SpeedSpike average speed enforcement system. Developed as a cost effective distance over time speed enforcement system, the system can be deployed as main road speed enforcement on motorways, urban speed enforcement in town and city centres or local short distance speed enforcement outside schools and colleges. By linking anywhere up to 1,000 cameras in any one system, PIPS says that SpeedSpike can enforce speeds ranging from 20 – 140mph across an entire road network.

The SpeedSpike system, PIPS first within the average speed enforcement market, will consist of SpikeHD ANPR (Automatic Number Plate Recognition) cameras and a server which is able to compute the average speed of every vehicle at every site and compare it with the enforcement speed.

When a vehicle passes a camera, the licence plate is read and time stamped and this, together with the site‐ID, camera‐ID and event‐ID form a Summary Record that is sent to the SpeedSpike server. This occurs at every camera which the vehicle passes. The SpeedSpike server can then compute the average speed of every vehicle detected at every site and compare it with the enforcement speed to detect violations.

“SpeedSpike is a completely new product to the market and we are confident that it will revolutionise the way local authorities enforce speed limits,” said Paul Negus, managing director of PIPS Technology. “These cameras are capable of being used in any location and deliver the high standards that are expected from PIPS Technology.”
Detection, Monitoring & Machine Vision Enforcement

For more information on companies in this article

Related Content

  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
    Read More
  • Dutch strike public/private balance to introduce C-ITS services
    November 15, 2017
    Connected-ITS applications are due to appear on a nation-wide scale this summer, through the Netherlands’ Talking Traffic Partnership – if all goes to plan. Jon Masters reports. The Netherlands’ Talking Traffic Partnership (TTP) looks almost too good to be true: an artificial market set up and supported by national, regional and local government to accelerate deployment of Connected ITS (C-ITS) applications. If it does have any serious flaws, these are going to become apparent quite soon, because the first
    Read More
  • Smartphone - the next technology for charging and tolling?
    January 25, 2012
    With all the debates over the most suitable future technology or technologies for charging and tolling, is it not time for the industry to look at what the rest of ITS is doing and bring a rank outsider - the smart phone - closer into the fold? By Jack Opiola, D'Artagnan Consulting LLC
    Read More
  • ITS need not reinvent machine vision
    October 29, 2014
    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