Skip to main content

Flir to highlight smart analytics for thermal cameras at Intertraffic

Flir, a world leader in thermal imaging infrared cameras and intelligent detection and monitoring solutions to enhance traffic safety and mobility, will use Intertraffic Amsterdam 2016 to highlight how the company’s smart analytics for thermal cameras can reliably detect fire and hot spots in tunnels. Next to continuous temperature measurement, Flir analytics examine size and flame dynamics to reliably detect smoke or flames in non-contact mode. The company says that cameras with its analytics detect fires
February 26, 2016 Read time: 2 mins

6778 Flir, a world leader in thermal imaging infrared cameras and intelligent detection and monitoring solutions to enhance traffic safety and mobility, will use Intertraffic Amsterdam 2016 to highlight how the company’s smart analytics for thermal cameras can reliably detect fire and hot spots in tunnels. Next to continuous temperature measurement, Flir analytics examine size and flame dynamics to reliably detect smoke or flames in non-contact mode. The company says that cameras with its analytics detect fires much faster than traditional fire detectors and provides visual feedback to operators and emergency services.

One of the biggest advantages of thermal imaging cameras in the field of tunnel safety is that they can effectively see through many types of smoke. This makes it the ideal technology for emergency response teams to find their way through a smoke-filled tunnel or for incident detection systems to spot incidents in time.

Meanwhile, Flir will be showcasing TrafiOne, an all-round detector for adaptive and responsive traffic control. Detecting and counting vehicles, bicycles and pedestrians at one intersection or across multiple intersections, Flir says TrafiOne helps traffic engineers determine travel behaviour, measure travel and delay times for different transport modes, and monitor congestion and signal performance of a road network 24/7. By seamlessly connecting to the Flir Cloud Analyser, the company says TrafiOne provides a bundle of tools to traffic engineers to monitor congestion and performance of their road network using the highest resolution of intersection data.

For more information on companies in this article

Related Content

  • Smart cameras offer real-time alerts
    April 10, 2014
    Intelligent traffic cameras open up a host of possibilities for traffic planners and controllers alike. If traffic management centres (TMCs) around the world are to cope with the increasing demands of growing traffic flows while maintaining or improving transport safety and efficiency, then video monitoring will have to be supplemented by automated warnings of incidents or deviations. According to Patrik Anderson, business development director at Swedish camera manufacturer Axis Communications, it is no
  • Ground-breaking new Flir cameras with AI will optimise traffic flow
    September 16, 2021
    Flir Systems will showcase two ground-breaking intelligent traffic system cameras, the Flir ThermiCam AI* with thermal imaging and the Flir TrafiCam AI visible camera, both with artificial intelligence (AI) to optimise traffic flow on roadways and at intersections. When combined with the Flir Acyclica cloud platform, cities can apply the AI-camera data to predict traffic, prevent congestion and potential accidents, and create safer roads for drivers, cyclists, and pedestrians, 24 hours a day
  • High-res traffic data provides planners with the big picture
    November 5, 2015
    Road authorities have a lot to gain from high-resolution traffic data, argues Pravin Varaiya. Traffic engineers have traditionally been forced to operate with limited data regarding the performance of their arterials. Traffic studies are often commissioned once every three years, over a few days, to get an updated estimate of utilization.
  • Computer technology increasingly aids traffic management
    February 3, 2012
    Alan Perrott, Tyco Fire & Integrated Solutions (UK) Ltd, looks at trends in CCTV technology for traffic surveillance applications