Skip to main content

Jenoptik to present non-invasive enforcement systems

Jenoptik’s Traffic Solutions Division will use the ITS World Congress Melbourne to present a range of traffic enforcement systems which are active in Australia and around the world: the company aims to demonstrate how it is improving roads, journeys and communities with 30,000 cameras operational in over 80 countries and with 480 staff working on traffic solutions and more than 50 million plates read every day.
September 7, 2016 Read time: 2 mins

79 Jenoptik’s Traffic Solutions Division will use the ITS World Congress Melbourne to present a range of traffic enforcement systems which are active in Australia and around the world: the company aims to demonstrate how it is improving roads, journeys and communities with 30,000 cameras operational in over 80 countries and with 480 staff working on traffic solutions and more than 50 million plates read every day.

Jenoptik will present its latest solution for red light enforcement - the TraffiStar SR390, a super non-invasive system with a tracking radar sensor and optical red light recognition. The various applications for Vector automatic number plate recognition cameras will also be exhibited, including point to point enforcement, road work zone enforcement, wanted vehicle tracking, bus lane enforcement, travel time and origin destination surveys.

Working as stand-alone units or as part of a wider ANPR network, Vector provides 24/7 monitoring capability, with each camera capable of capturing thousands of plate reads every day. Combined with powerful back office analysis software, wanted vehicles can be located fast or criminal activity identified through analysis of driving patterns.

As Jenoptik points out, these technologies and services are proven life savers; researchers from the Insurance Institute for Highway Safety (IIHS) concluded that red light camera programs in 79 large US cities saved nearly 1,300 lives through 2014, while a 2014 report by the Norwegian Institute of Transport Economics found that automatic section speed control reduces the number of people killed or seriously injured by half and this effect continues for several kilometres after the speed control zone.

For more information on companies in this article

Related Content

  • Avoiding the call of the wild
    June 29, 2018
    Hitting an animal on a rural road can be fatal for all parties involved – but detecting and avoiding them requires clever technology. Andrew Williams carefully scans the horizon for details. Wildlife-vehicle collisions are an ever-present threat in rural areas around the world, and there is certainly nothing funny about suddenly finding an angry moose in your headlights on a sharp bend. A variety of detection and avoidance systems are currently in use or under development to help prevent your vehicle being
  • When speed compliance becomes a safety issue
    March 29, 2017
    David Crawford finds that softly, softly can be safely, safely when it comes to speed enforcement. Comedians and controversial TV presenters have long made jokes about having to watch the speedometer so closely as they pass speed camera after speed camera that they mow down bus queues. But the joke may have some factual basis according to a study by researchers from the University of Western Australia.
  • Traffic signals turn red to stop speeding drivers
    March 15, 2012
    David Crawford is encouraged by the spread of 'soft' speed policing 
  • Videalert provides full time enforcement with part time workload
    March 19, 2014
    Videalert says its algorithms on automated enforcement can reduce the workload on staff while providing an effective deterrent to offenders. Colin Sowman reports. While members of the public may believe that the enforcement of parking regulations, bus lanes and box junctions has no practical benefit and is purely a money-making operation, for many authorities the opposite is true. Enforcement is a loss-making but vital exercise as illegally parked vehicles create obstructions and dangers leading to gridl