Skip to main content

TrafiOne the focal point for Flir Systems at Intertraffic

Flir Systems is using Intertraffic to launch the Flir TrafiOne Smart City Sensor, an all-round detection sensor for traffic monitoring and dynamic traffic signal control. Offered in a compact and easy-to-install package, the device uses thermal imaging and Wi-Fi tracking technology to provide traffic engineers with high-resolution data on vehicles, bicycles and pedestrians at intersections and in urban environments.
April 4, 2016 Read time: 2 mins
Katty Pepermans of Flir with the TrafiOne Smart City Sensor
6778 Flir Systems is using Intertraffic to launch the Flir TrafiOne Smart City Sensor, an all-round detection sensor for traffic monitoring and dynamic traffic signal control. Offered in a compact and easy-to-install package, the device uses thermal imaging and Wi-Fi tracking technology to provide traffic engineers with high-resolution data on vehicles, bicycles and pedestrians at intersections and in urban environments.


The Flir TrafiOne sensor uses thermal imaging to detect the presence of pedestrians and cyclists who are approaching or waiting at the curbside or who are actually walking on a street crossing. Thermal imaging cameras can see in total darkness, through shadows and sun glare, and thus provide reliable traffic detection 24/7. TrafiOne is connected to the traffic signal controller to allow for a more dynamic control of traffic signals based, on presence or volume information.

TrafiOne has optional Wi-Fi tracking technology that can be used to capture traffic flow data. By monitoring Wi-Fi Mac addresses of Wi-Fi enabled devices such as smartphones, it can determine travel and route times along road segments. Via Wi-Fi signal strength information TrafiOne can also measure queue delay times at intersections.

“Flir TrafiOne will help traffic engineers to improve traffic flows in the city in unseen ways,” says Stefaan Pinck, VP Worldwide ITS Sales at Flir. “Through data collected by the Flir TrafiOne sensor, they will be able to adapt traffic signal schemes, reduce vehicle idling time, monitor congestion, enhance safety for vulnerable road users and measure travel and delay times for different transport modes.”

The information collected by TrafiOne can be accessed for further analysis by Flir’s cloud-based analysis platform. The company says smart analytics transform the data into useful traffic insights, which are critical to understand the road network performance and to take measures where they are needed.

For more information on companies in this article

Related Content

  • Traffic cameras embrace AI
    December 19, 2022
    Artificial intelligence is spreading into many aspects of mobility – but what about traffic management and enforcement cameras? ITS International invited a few vision experts to ponder a couple of leading questions…
  • Flir Certified System Engineer training
    April 20, 2016
    Flir’s new Certified System Engineer two-day course provides certified training on automatic incident detection and data collection solutions using Flir intelligent transportation systems visual and thermal detection systems. The interactive and hands-on training takes place in Ghent, Belgium on 14 and 15 June; topics covered include: The architecture and principles of thermal and visual detection; Camera selection and position; Safety and security in tunnels, on highways and bridges; Traffic data collec
  • Atlanta launches Smart Corridor demonstration project
    September 15, 2017
    The City of Atlanta, Georgia, in partnership with the Georgia Department of Transportation (GDOT) and Georgia Tech, has launched a smart city project on a major east-west artery in the city. The North Avenue Smart Corridor demonstration project, funded by the Renew Atlanta Infrastructure Bond, will deploy the latest technology in adaptive signal systems for a safer, more efficient flow of transit, personal vehicles, cyclists and pedestrians
  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val