FLIR TrafiBot dual AI camera

The FLIR TrafiBot Dual AI Camera is a multispectral camera system that enhances safety for drivers.

This closed-circuit traffic camera is designed to improve safety 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, a reliable 14-bit early fire detection for road tunnels, robust artificial intelligence for detection performance, and good traffic data collection along interurban roadways, without sacrificing imaging resolution or data loss due to bandwidth restrictions.

It utilises three FLIR 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 visual streams, including unusual objects such as e-scooters and vulnerable road users like pedestrians and bicyclists.

As vehicles enter its field of view, the camera anticipates vehicle speed and trajectory, even if tracked objects become obscured by other objects. TrafiBot Dual AI can also detect sudden lane changes and wrong-way drivers, providing critical data to traffic managers to better manage safety incidents while reducing false alarms.

Analysing the 14-bit thermal information directly on the camera side gives the camera algorithm 64 times more information, which enhances fire detection, speed and reliability while reducing the potential for false alarms.