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.
March 16, 2012 Read time: 2 mins

Econolite Control Products Inc and 3982 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.

“Duo is introduced with a background that includes years of innovative development driven by the voice of our customers,” said Ken Aubrey, president and CEO of Image Sensing Systems. “To address the concerns of transportation agencies, we converge radar and video computer enabled detection to provide the highest levels of accuracy in all traffic, lighting, weather, and pavement conditions.”

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 3278 ITS programmes.

“The Econolite-ISS collaboration on Autoscope Duo is another example of a joint-effort product breakthrough, addressing and providing transportation agencies with powerful ITS solutions and a high return on their investment,” said Mike Doyle, Econolite Group CEO.

Highway & Network Management

For more information on companies in this article

Related Content

  • Easy does it with GSSI’s PaveScan RDM 2.0
    February 27, 2023
    GSSI says that its PaveScan RDM 2.0, a non-destructive asphalt density assessment tool, is characterised by being easy to use, no matter what technical level the operator has.
    Read More
  • Efficient road traffic management for large-scale sporting events
    October 25, 2022
    Modern road networks require a significant amount of infrastructure to function, from the roads themselves to signage, as well as other assets that are needed to keep things running. Throw in the digitisation of road networks and infrastructure requirements will significantly increase, especially when it comes to the introduction of connected (“internet-of-things”) devices and an array of sensor systems required for road monitoring.
    Read More
  • Workzones benefit from new mobile speed enforcement technology
    April 10, 2012
    A variety of new technology for temporary speed zones during major highway projects across the globe is about to hit the market, while other proven systems remain in demand. Guy Woodford reports. The D-Cam P is one of four new mobile speed reading products for temporary speed zones being launched this month by Truvelo. Deployable solely as a speed camera or at a red light intersection to monitor red light offences, the D-Cam P can also act as a speed camera on the green and amber light phases. The machine d
    Read More
  • Reading the road ahead with markings & signs for safety
    January 16, 2020
    Traffic signs and pavement markings have been in use for over 100 years to provide essential guidance and delineation of the travel path. In the ensuing years, the performance of these systems has been greatly expanded with the introduction of retroreflective optics to increase visibility at night and in wet night-time conditions.
    Read More

Highlighted Content