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

  • Austria’s Joanneum Research tackles issue of tunnel safety
    April 18, 2024
    Accidents and incidents in tunnels are particularly problematic. Dangers are magnified when they occur in a restricted space and more vehicles quickly become involved.
  • Lidar: beginning to see the light
    March 14, 2022
    Lidar feels like a technology whose time has come – but why now? Adam Hill talks to manufacturers, vendors and system integrators in the sector to assess the state of play and to find out what comes next
  • Intersection monitoring from video using 3D reconstruction
    March 9, 2016
    Researchers Yuting Yang, Camillo Taylor and Daniel Lee have developed a system to turn surveillance cameras into traffic counters. Traffic information can be collected from existing inexpensive roadside cameras but extracting it often entails manual work or costly commercial software. Against this background the Delaware Valley Regional Planning Commission (DVRPC) was looking for an efficient and user-friendly solution to extract traffic information from videos captured from road intersections.
  • Axis acquires Citilog, adds surveillance and traffic analytics to produce range
    February 2, 2016
    Swedish network video supplier Axis Communications has acquired intelligent real-time video monitoring company Citilog, adding advanced surveillance technology to Axis’ product offering and expanding its opportunities in the fast-growing traffic analytics market. The two companies have worked together for several years to provide integrated solutions for mutual customers. Based in Paris, Citilog’s advanced video analytics and surveillance products are used to identify traffic incidents and deviations in