Skip to main content

Autoscope Duo unveiled

Econolite and Image Sensing Systems have unveiled Autoscope Duo, a first in a new generation of hybrid sensor technologies. The device converges the robust capabilities of radar and video and uses intelligent decision logic to monitor the current operating conditions and to combine the best of radar with the best of video data, continuously, lane-by-lane and second-by-second. According to the partners, these two sensor technologies lead to signicant performance improvements and provide the highest accurac
May 2, 2012 Read time: 2 mins
1763 Econolite and 6626 Image Sensing Systems have unveiled Autoscope Duo, a first in a new generation of hybrid sensor technologies. The device converges the robust capabilities of radar and video and uses intelligent decision logic to monitor the current operating conditions and to combine the best of radar with the best of video data, continuously, lane-by-lane and second-by-second. According to the partners, these two sensor technologies lead to significant performance improvements and provide the highest accuracy attainable for the demands of today’s most advanced intersection control requirements.

Autoscope Duo has been field-tested for nearly a year and the partners say it has proven to be a superior alternative to in-ground detection systems. Integrating radar and video detection algorithms expands the benefits of non-intrusive detection, and ensures years of low maintenance when compared to the expense of installing and maintaining inductive loop detectors. Autoscope Duo also represents a gateway to employing new ITS programmes.

For more information on companies in this article

Related Content

  • IRD trusts in AI for traffic count and classification
    October 13, 2020
    IRD has announced its iTheia video-based traffic counting and classifying system that uses artificial intelligence (AI). Instead of classifying vehicles based solely on axle spacing or vehicle length parameters, iTheia classes vehicles based on visual input and a machine learning algorithm.
  • Dynamic lane closures cuts time, cost and congestion on Motorway roadworks
    March 17, 2014
    A combination of technologies is leading to major congestion and cost reductions during roadworks on the UK’s motorway network. Innovative construction programme scheduling technology and the deployment of moveable barriers has achieved substantial savings of money and time on UK motorway roadworks managed by the Highways Agency (HA). This combination has set the scene for a new generation of road usage analysis tools. The HA’s objective was to reduce the congestion caused by lane closures during roa
  • Heart of Slough implements Siemens wireless traffic detection
    February 21, 2013
    As part of the Heart of Slough improvement project, new traffic intersections across seven key sites in and around Slough, UK have been equipped with a total of 162 Siemens WiMag wireless magnetometer sensors by Siemens to help improve the management of traffic using the A4 and travelling to and from the town centre. Complementing the company’s proven loop and radar detection solutions, the sensors provide the Heart of Slough project with an alternative traffic detection system that uses magnetic disturbanc
  • Charlottesville signals its integration with Econolite
    January 23, 2025
    Small Virginia city has big plans for traffic management with Centracs