In a space that has often over promised, PoindextAR is working to bring us one step closer to reliable and ubiquitous augmented reality

GravityJack, the startup behind PoindextAR, is tackling the considerable challenge of getting augmented reality right with technology that tracks the position of real-life objects down to a fraction of an inch of how they appear before you. In scenarios that require an advanced AR system—such as one that can identify a diverse collection of objects at various angles, even when bits and pieces are obscured—certain techniques need to be implemented to ensure the system is interpreting our world correctly.

With manufacturing being one of many practical use cases for AR, this technology—necessary for devices such as Microsoft’s HoloLens—has a transformative effect on industrial settings. With a spatialized understanding of where individual components are located, elevator technicians can more seamlessly make repairs, while less advanced headgear can be outfitted with three-dimensional capacities to streamline the life-saving efforts of doctors. Whether you’re learning a new interface, need extreme precision or simply work alongside a monitor that feeds you information, PoindextAR enables it all with low latency and high accuracy, even if the lighting is subpar.

Envisioning a glamorous future, GravityJack is placing bets on augmented reality despite the fact that the technology has yet to live up to its hype. The company aims to support utility servicers, manufacturers and perhaps even military, where its technology could be put to use to quicken routine maintenance and inspections. The versatility of the platform and the ease of deployment make PoindextAR (named after Gravity Jack CTO Shawn Poindexter) a promising effort—a non-gimmicky initiative that could break the ice for AR skeptics and introduce a flood of new applications to the market in the next couple of years.

PoindextAR

GravityJack, the startup behind PoindextAR, is tackling the considerable challenge of getting augmented reality right with technology that tracks the position of real-life objects down to a fraction of an inch of how they appear before you. In scenarios that require an advanced AR system—such as one that can identify a diverse collection of objects at various angles, even when bits and pieces are obscured—certain techniques need to be implemented to ensure the system is interpreting our world correctly.