Multispectral Camera System Automates Incident Detection, Delivers Premium Early Fire Detection, While Reducing False Alarms Via FLIR's Propriety On-Camera AI and its Patented 3D World Tracker
WILSONVILLE, Ore.--BUSINESS WIRE--
FLIR, a Teledyne Technologies company, today introduced the TrafiBot Dual AI multispectral camera system for interurban traffic intelligence. 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.
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FLIR launches TrafiBot Dual AI Camera, a multispectral camera system, which can contribute to traffic flow and road safety (photo: Teledyne FLIR)
The TrafiBot Dual AI offers a fast thermal core, the most reliable 14-bit early fire detection for road tunnels, robust artificial intelligence (AI) for the highest detection performance, and the most dependable traffic data collection along interurban roadways, without sacrificing imaging resolution or data loss due to bandwidth restrictions.
It utilizes 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-patented 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 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.
TrafiBot Dual AI takes early fire detection to the next level. Analyzing the 14-bit thermal information directly on the camera side gives the camera algorithm 64-times
