Zero Density, a world leader in real-time graphics technology, has received an IBC Best of Show Award in the category of “TV Tech” for its AI-powered tracking system, TRAXIS talentS. Built for virtual studios, live events and augmented reality productions, TRAXIS talentS is the industry’s first stereoscopic talent tracking system that makes wearables and markers obsolete. Whether it’s for a broadcast football match or Hollywood’s latest virtual production, on-set talent can always move freely, without anything getting in the way of creativity.
“We couldn’t have asked for a better way to cap off our first in-person IBC in three years than winning this Best of Show award,” says Ula Kaçmaz, VP of Sales and Marketing at Zero Density. "These awards are known throughout the industry for celebrating innovation and craft, and we’re thrilled that our R&D team’s hard work has been honored in this way. Zero Density will use this as inspiration to continue to push the boundaries of what is possible in real-time virtual studio and augmented reality productions.”
The award, which was selected by a panel of industry experts, marks talentS’s third accolade after being shortlisted as an outstanding innovation at the IABM BaM Awards and winning a Product of the Year Award at this year’s NAB.
About TRAXIS talentS
TRAXIS talentS is the industry’s first AI-powered, stereoscopic talent tracking system, built with features that make working on virtual sets faster and easier including:
Easy setup and calibration with an out-of-the-box system that eliminates hours of time setting up a virtual set – no wearables, markers or extra cables are required.
Out-of-the-box integration to Zero Density’s Reality ecosystem, making it easier than ever to create visually accurate reflections, refractions and shadows of live talent, no matter where they are in 3D space.
Connectivity with industry-standard FreeD protocol, giving anyone the flexibility to use talentS as a standalone product.
Learn more about TRAXIS talentS on Zero Density's website https://traxis.ai/.