Skip to main content

Flir showcases ThermiCam innovation

In addition to its field-proven solutions for automatic incident detection and urban traffic monitoring, Flir Intelligent Transportation Systems is here at the ITS World Congress to present several innovations to visitors. ThermiCam is an integrated thermal camera and detector for vehicle and bike detection that does not need light to operate, but uses the thermal energy emitted from vehicles and bicyclists to make a distinction between both.
October 6, 2015 Read time: 2 mins
Werner Filez of Flir with ThermiCam

In addition to its field-proven solutions for automatic incident detection and urban traffic monitoring, 6778 Flir Intelligent Transportation Systems is here at the ITS World Congress to present several innovations to visitors.

ThermiCam is an integrated thermal camera and detector for vehicle and bike detection that does not need light to operate, but uses the thermal energy emitted from vehicles and bicyclists to make a distinction between both. This enables ThermiCam to detect vehicles and bikes in the darkest of nights, over a long range and in the most difficult weather conditions.

Meanwhile, Flir will showcase different models of thermal imaging cameras for use in traffic monitoring, including the FC-Series ITS bullet camera, the D-Series ITS dome camera and the PT-Series ITS pan/tilt camera. As the company points out, thermal cameras need no light to work, are not blinded by direct sunlight, and give uninterrupted 24-hour detection of vehicles, pedestrians, and cyclists, regardless of the amount of light available.

Fire can cause severe damage to tunnel structures, resulting in high costs.

Thermal imaging can help prevent fires, by detecting hot-spots, or detect fires at an early stage so they don’t have a chance to spread. Thermal cameras like the Flir FC-Series can be configured to generate a direct alarm output to a control room operator when user-defined maximum temperature thresholds are exceeded.

For more information on companies in this article

Related Content

  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
  • Diverse development of tolling business models
    April 25, 2013
    A diversity of tolling business models offers a wider toolbox of highway finance options, as the IBTTA’s Patrick Jones explains. The business models for America’s tolled highways have gone through several different evolutions over the last 75 years, reflecting a succession of shifts in transportation policy and politics, financing and funding models, urban patterns, customer needs, and technology. And with more and more decision-makers expressing renewed interest in tolling, it’s that very diversity that ma
  • Here: AI has place in ‘privacy by design’
    June 23, 2020
    Artificial intelligence may improve traffic in cities and keep location data private, but Here Technologies shows that it only takes four points of anonymous data to predict your identity.
  • Voting for change - the democratisation of transportation
    December 8, 2014
    Contra Costa is using an innovative planning method to gather suggestions and craft future transportation spending plans. Public opinion in matters relating to transport rarely exceeds complaints about congestion on the roads, crowded metros, slow buses with ‘exorbitant’ fares or perhaps enforcement cameras.