Skip to main content

TrafiBot Dual AI camera has tunnel vision

Multispectral system automates incident detection and delivers early fire detection
By David Arminas September 23, 2024 Read time: 3 mins
TrafiBot Dual AI uses three Flir proprietary AI models simultaneously

Flir has launched the closed-circuit TrafiBot Dual AI multispectral camera system specifically to improve safety in tunnels and on bridges.

Flir, part of Teledyne Technologies, noted that it is in tunnels and on bridges where drivers are most at risk for hitting unseen objects or being trapped by fast-growing vehicle fires.

The TrafiBot Dual AI offers a fast thermal core, 14-bit early fire detection for road tunnels and robust artificial intelligence (AI) for detection performance. Flir says that it has the most dependable traffic data collection along interurban roadways, without sacrificing imaging resolution or data loss due to bandwidth restrictions.

TrafiBot Dual AI uses three Flir proprietary AI models simultaneously, developed and trained from millions of Flir-captured images collected across the world. One model identifies and classifies fallen objects while the other two classify vehicles on thermal and on the visual stream, including unusual objects such as e-scooters and vulnerable road users like pedestrians and bicyclists.

Combined with the Flir’s 3D World Tracker, TrafiBot Dual AI features a greater capacity to detect incidents within a scene. As vehicles enter its field of view, the camera anticipates vehicle speed and trajectory, even if tracked objects become occluded or obscured by other vehicles, objects or road infrastructure. TrafiBot Dual AI can also detect sudden lane changes and wrong-way drivers. This is all critical data for traffic managers to better manage safety incidents while reducing false alarms.

TrafiBot Dual AI analyses the 14-bit thermal information directly on the camera. This gives the camera algorithm 64-times more information, which guarantees unparalleled fire detection, speed and reliability while dramatically reducing the potential for false alarms.

“Today traffic management teams require more immediate, accurate traffic data to alert first responders, save lives, and get vehicles moving again,” said Stefaan Pinck, vice president for business development at Flir. “TrafiBot Dual AI provides that capability through a combination of proprietary AI models, 3D world tracker and its early fire detection capabilities.”

TrafiBot Dual AI has a three-axis rotational design that provides greater installation flexibility for mounting on unique roadway infrastructure including the sloped walls of tunnels and within tight spaces. The three-axis camera swivel, pans, tilts and rolls sideways. This eliminates the need for custom adapter plates that take a lot of time to install. The tilt sensor inside also calibrates the camera automatically, further reducing installation time and any ensuing traffic disruption.

TrafiBot Dual AI is housed within an IP 66/67-rated non-corrosive, marine grade, stainless-steel casing built to withstand all types of weather, including salt air and humidity, along with high-pressure water blasts from road-and-tunnel cleaning operations. The 4K camera features an optical zoom of 6mm to 22mm with a detection range of up to 300m. Flir says that this provides greater coverage per camera compared to predecessor Flir intelligent traffic cameras.

The camera is designed to integrate with Flir Cascade, a recently-launched software that collects and organises data from TrafiBot Dual AI. It also provides intelligent incident filtering to ensure only the relevant incidents are shown to the traffic operator. If an incident is detected, a short 4K-resolution colour and/or a thermal video clip of the scene is flagged up for the traffic management team for immediate review.

Flir says that TrafiBot Dual AI can also further integrate with video management systems to provide live footage.

For more information on companies in this article

Related Content

  • IP technology the route to efficient multi-agency control rooms
    February 1, 2012
    As IP-based technology makes its presence felt in the control room sector, it makes for greater economies of scale and also offers a migration path for many other traffic management technologies. So says Barco's Guy Van Wijmeersch. Efficient control room collaboration and decision-making is only possible if operators and decision-makers have easy and timely access to information. In many cases, that information also needs to be accessible to multiple users at the same time. This is certainly so in the case
  • GeoSLAM showcases 3D mobile mapping for GIS at ESRI User Conference 2017
    July 10, 2017
    3D mobile mapping specialist GeoSLAM, a Silver ESRI Business Partner, is participating in the international ESRI User Conference at San Diego Convention Centre on 10-14 July to demonstrate its live digital 3D modelling capability.
  • In-vehicle intersection violation Warning system
    January 31, 2012
    Mike Schagrin, ITS Joint Program Office, RITA, and John Harding, NHTSA, describe US progress towards an in-vehicle Intersection Violation Warning system. In 2008, there were 37,261 fatalities on US roadways. Of these, 7,772, some 20.8 per cent of the total, were defined as intersection crashes or intersection-related crashes. Through a multi-agency research initiative led by the Research and Innovative Technology Administration (RITA), the US Department of Transportation (USDOT) has developed a prototype In
  • Miovision Scout Explore points the way to success
    September 20, 2022
    Miovision Scout Explore expands on the capabilities of Miovision Scout, a portable video-based traffic data collection solution. This next-generation model is even easier to transport and set up since all components are contained within the device.