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.

Related Content

  • May 31, 2013
    Marseille opts for Flir traffic monitoring solution
    Flir Intelligent Transportation Systems is to equip the Prado Carénage and the soon to be built Prado Sud tunnels in Marseille, France, with automatic incident detection (AID) technology. The Prado Carénage tunnel connects the southern districts of the city and the eastern motorway to the city centre and to north via the Vieux Port tunnel and the coastal motorway.
  • September 19, 2017
    European tunnel safety steps up a gear
    David Crawford reviews the latest safety systems installed in European tunnels. Blueprints for the safer road tunnels of the future are emerging fast as European operators invest in technologies to enhance travellers’ prospects of surviving an accident. Central to modern emergency planning is the principle that, following an incident, drivers should be enabled to rescue themselves and their passengers with the aid of prompt and correct identification and communication of the hazard. Roles for cooperativ
  • November 12, 2014
    Flir expands Marseille’s tunnel vision
    Marseille’s city authority has added the monitoring of a second tunnel to the existing network with a new approach towards video management. Measuring 1.5km in length, the double-deck Prado Sud tunnel extends Marseille’s existing 2.5km Prado Carénage tunnel towards the southern part of the city. While it was logical to use a common control room and to use the latest detection and monitoring systems in the new tunnel, it was deemed too disruptive and costly to completely upgrade the existing tunnel.
  • July 24, 2015
    Fire safety in tunnels
    Thermal imaging specialist Flir has issued a new report, Thermal imaging Cameras help Guarantee Fire Safety in Tunnels, which looks at the devastating effects of tunnel fires. It makes the case for effective fire prevention, detection and control to save lives and reduce costs and claims that thermal imaging might provide the intelligent technology required.