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

  • MAV extends ANPR camera range
    May 19, 2016
    The MAV IQ automatic number plate recognition (ANPR) camera range has been extended with new models, the IQ:SL and an optional expansion module for attachment of peripheral devices, such as radar for speed indication, or pan/tilt control.
  • Close shave for Brazilian project
    June 12, 2015
    Signing the order to equip a new control room just 45 days before the city hosts a major sporting event is challenging - but some deadlines just cannot be moved. There is nothing like a deadline to concentrate minds and effort as Mitsubishi and the Brazilian city of Belo Horizonte discovered in the run-up to the 2014 World Cup. Although municipal authorities had been considering a new command centre for years, it was the hosting of the World Cup last summer that provided the final impetus.
  • London Borough deploys Videalert automated enforcement systems
    July 6, 2016
    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
  • Targeted roadside advertising project uses deep learning to analyse traffic volumes
    June 22, 2016
    A targeted roadside advertising project for digital signage using big data and deep learning just launched in Tokyo, Japan, by US smart data storage company Cloudian will focus on vehicle recognition and the ability to present relevant display ads by vehicle make and model. Together with Dentsu, Smart Insight Corporation, and QCT (Quanta Cloud Technology) Japan, and with support from Intel Japan, the project will conduct, at its first stage, deep learning analysis – artificial intelligence (AI) for recog