Edge Vision AI Co-Processing for Dynamic Context Awareness in Mixed Reality

Spatial computing is evolving towards leveraging data streaming for computationally demanding applications, facilitating a shift to lightweight, untethered, and standalone devices. These devices are ideal candidates for co-processing, where real-time scene context understanding and low-latency data streaming are fundamental for general-purpose Mixed Reality (MR) experiences. This poster demonstrates and evaluates a scalable approach to augmented contextual understanding in MR by implementing edge AI co-processing through a Hailo-8 AI accelerator, a low-power ARM-based single board computer (SBC), and the Magic Leap 2 AR headset. The resulting inferences are streamed back to the headset for spatial reprojection into the user’s vision.