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

  • ITS instrumental in reducing Texan congestion
    September 4, 2018
    ITS projects in the Houston area have seen costs crunched – and even a system failure has proved valuable in analysing performance. David Crawford reports on developments in the Lone Star state Savings by Texan public agencies are major factors in the recent ITS Texas awards, recognising beneficial initiatives in bridge strike prevention and traffic intersection control. In the first, the Texas Department of Transportation (TxDOT)’s Houston District, covering the state’s most populous city and its surround
  • SICK launches all-weather 3D sensor system for traffic management
    January 29, 2018
    Sick has launched the TIC502 Lidar sensor traffic and warning system which is said to scan vehicles up to 100 times a second with 99% accuracy to generate a 3D profile of each vehicle. The all-weather solution can be used for counting fast lane, free-flowing and static traffic to facilitate real-time management and electronic toll charge assessment of all vehicle types according to standard international transport classifications. TIC502 has a range of up to 40 metres and minimum mounting height of 1.5
  • Theia lights up detection – regardless of conditions
    March 30, 2023
    Lenses with excellent visible-NIR correction maintain high-resolution performance
  • AVT cameras, part of a new generation of ETC
    August 20, 2015
    Allied Vision Technologies (AVT) has supplied Norwegian company Q-Free with its high performance machine vision cameras for use in electronic toll collection (ETC) systems. Q-Free has developed an ETC installation based on a single gantry which relies on the latest machine imaging systems, radio systems and automatic license plate recognition (ALPR) software technologies to collect toll data. This versatile system is designed to do pure video tolling or a combination of video and radio tolling depending