From Video to Voice: The Data Engineering Behind Real-Time Sign Language Recognition

This article reveals why intelligent data preprocessing is far more impactful than raw computational power for real-world vision systems. By demonstrating techniques like MediaPipe keypoint extraction and shoulder-based normalization, the author shows how thoughtful data engineering dramatically reduces computational demands while preserving accuracy on consumer hardware. This has profound implications for accessibility technology and edge AI, highlighting that strategic data processing often matters more than scaling compute.