Skip to main content

Combining weight and speed violation detection

UK company CA Traffic has combined its Evo8 ANPR camera and Black Cat traffic monitoring technology to provide weigh in motion (WIM) and speed violation detection with high quality ANPR data. Both systems are configured with the local classification scheme, maximum road speed, vehicle speed and weight limits by class. Vehicle data (class, speed and weight) is sent from the Black Cat system to the EVo8, which checks for compliance with the data set for the road. Speed or weight violations cause the system
November 22, 2012 Read time: 2 mins
UK company 521 CA Traffic has combined its Evo8 ANPR camera and Black Cat traffic monitoring technology to provide weigh in motion (WIM) and speed violation detection with high quality ANPR data.

Both systems are configured with the local classification scheme, maximum road speed, vehicle speed and weight limits by class.  Vehicle data (class, speed and weight) is sent from the Black Cat system to the EVo8, which checks for compliance with the data set for the road.  Speed or weight violations cause the system to retrieve the vehicle image, including the violation metadata into the image, which is then sent to the relevant authorities. 

The Evo8 is wi-fi enabled, allowing data to be transmitted to a nearby enforcement vehicle if required.

Both systems also continue to operate in their normal configuration; Black Cat as a standard traffic data collection outstation and the EVO8 as a surveillance camera sending police surveillance images or licence plate data for journey time calculations, all to up to four different client systems.

For more information on companies in this article

Related Content

  • Authorities select enforce now, pay later option
    October 19, 2015
    Outsouring of enforcement services is on the increase internationally as highway and traffic authorities seek further support in resources and expertise from the private sector. Jon Masters reports. Signs of a significant company making moves into a new market can usually be read as indication of likely growth in that particular sector. Q-Free’s expansion from tolling operations into general traffic enforcement could be viewed as surprising as it is moving into what are relatively mature and consolidating m
  • Harnessing the power of smart technology
    June 28, 2018
    Keeping the public safe in a changing world requires smart thinking and sensible deployment of technology. Peter Jones of Hitachi Europe examines some available options From human threats, such as terrorism, to digital threats like hacking, the growing sophistication of crime is posing serious challenges to public safety. At the same time, mass urbanisation threatens to exacerbate these problems as there are more people to keep safe. According to a new whitepaper from Hitachi and Frost & Sullivan, Public
  • Vehicle manufacturers and local authorities seek satnav solutions
    December 5, 2013
    The increasing capability of satellite navigation is helping vehicle manufacturers and local authorities as well as individual drivers and fleets. In comparison to the physical ITS infrastructure in towns and cities and on motorways and highways, satellite navigation (satnav) systems have come a long way in a short time. Many (if not the majority) individual drivers and fleets use or have access to a satnav and now the vehicle manufacturers and even local authorities are beginning to utilise satnav derived
  • Hard shoulder running aids uniform traffic flow and safer driving
    January 23, 2012
    David Crawford detects a market for European experience. Well-established now in at least three European countries, Hard Shoulder Running (HSR) on motorways is exciting growing interest in the US. A November 2010 Report to Congress by the Federal Highway Administration (FHWA), on the Efficient Use of Highway Capacity, notes the role of HSR in the European-style Active Traffic Management (ATM) strategies now being recommended for implementation in the US where, until recently, they were virtually unknown.