MOTO.AI

3D tracking and live-graphics for motorsport broadcasters.

At its core, MOTO.AI reconstructs a 3D scene captured by a broadcasting camera. Real cars in the scene are augmented with graphical elements that visualize telemetry. Ghost cars are added to the scene to provide side-by-side comparisons. The scene itself can be viewed from any angle to analyze car incidents. Or simply back-projected to the input stream to create pixel-accurate live graphics. All this in real-time and with just 7 frame delay.

The technology has been developed from ground up over the past 4 years. We work with the best in the field and were partially supported by UE4 MegaGrant.

Interested? See yourself and request an


ONLINE DEMO.

The following are several demo use-case, more to come soon.

DRIVER TAGGING

Tell a better story by connecting the car with the driver.

SEE THE INVISIBLE

Analyze the internal structure of the car and highlight potentially defective parts.