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Case Studies

Virtual avatars for AMD GPUs in video games streaming

A hardware manufacturer required an AMD-optimized application that utilized dedicated GPUs for game rendering and the integrated GPU for executing AI tasks. The implemented solution employed Edge AI and GStreamer to perform real-time facial gesture extraction, background removal, and 3D avatar rendering from live webcam feeds. This architecture delivered expressive, low-latency overlays without impacting gameplay performance, ensuring smooth operation even during high-resolution, resource-intensive gaming sessions.

services
industry

INDUSTRY

Hardware manufacturer

outcome

OUTCOME

Low-latency 3D avatars with no impact on gameplay performance

Proposed solutions

Practical solutions for real-world results

Seamless dual-GPU architecture for expressive gameplay

The solution consisted of a visual webcam system that modified and merged two independent video streams. It employed dual GPU processing for AI inference and game execution, including hardware-accelerated and highly accurate facial feature detection with 3D rendering of visual avatars.

Real-time background removal and 3D avatar rendering enhanced the visual experience by eliminating distractions and providing expressive, animated characters without needing green screens. The system streamed triple-A games with the modified video feed while maintaining smooth performance through an efficient dual GPU architecture optimized for AMD hardware. This approach delivered low-latency, high-quality visuals with minimal GPU usage, ensuring consistent high-resolution content delivery.