TrafiBot Dual AI outperforms non AI-based traffic cameras due to its ability to learn and refine how it evaluates events. In fact, the camera uses three embedded AI models, one for classifying fallen objects and the other two for identifying vehicles on video and in thermal, including unusual objects such as e-scooters, car hauling trucks and vulnerable road users like pedestrians and bicyclists.

The camera uses powerful FLIR AID algorithms, as well, which allows for a greater capacity to detect incidents a scene. And because its analytics are built in, TrafiBot Dual AI isn't vulnerable to potential bottlenecks or interruptions associated with centralized AID systems.

TrafiBot Dual AI's built-in tilt sensor reduces installment time and traffic delays, especially in tunnels with sloping walls. The camera has a three-axis swivel that pans, tilts, and rolls sideways, eliminating the need for custom adapter plates. The tilt sensor also calibrates automatically, eliminating the possibly for human error.

TrafiBot Dual AI integrates seamlessly with FLIR Cascade, our robust software platform specifically designed to collect and organize data from FLIR traffic cameras. You can connect up to 300 FLIR cameras or sensors to a standalone Cascade server.

In the case of a traffic incident, the TrafiBot Dual AI will send an alert with a pre and post incident time and short, high resolution video clips of the scene for immediate analysis. Traffic operators can then use their existing VMS to access live footage from the camera itself.