Bypassing full-frame video rendering for sub-80ms sign language translation

Hey everyone,

I'm building Uvilox AI (uvilox-aiwebsite.pages.dev). We are developing an automated AI calling system and real-time sign language interpreter for the deaf and non-verbal communities to access emergency services and healthcare.

Most vision AI tools struggle with real-time video translation because heavy full-frame pixel rendering causes massive latency. For a 911 call, delay is unacceptable. We engineered a custom, modular pipeline that processes body language vector spaces, facial landmarks, and hand coordinates concurrently—dropping latency under 80ms with 97.4% accuracy.

For other builders in the AI space: Have you had to deal with optimization constraints for live video streaming pipelines? What models or architectures are you finding most efficient for sub-100ms real-time processing?