Technical Whitepaper | For Manufacturing Engineers The Last Mile of Manufacturing DX:You Invested in Smart Factory Infrastructure. Why Hasn't the Shop Floor Changed? MES is installed. IoT sensors are deployed. Dashboards are running. Yet the worker at the machine still carries a paper drawing. This is the "last mile problem" of manufacturing DX. Equipment and systems have gone digital, but the most critical interface — the worker's eyes and hands — remains analog. This whitepaper examines how to close this last mile: an on-device XR system engineering architecture that delivers AI inference results directly into the worker's field of view, in real time, without network dependency. Key topics covered:- Diagnosing the Last Mile Gap: Why DX investments fail to reach workers- Dual NPU Architecture: 125 TOPS AI processing in a belt-worn device- Triple Sensor Fusion: 2.47cm spatial accuracy in harsh factory environments- Hands-Free Multimodal Interface: Gesture, voice, and gaze control with gloves and tools- Sub-21ms Motion-to-Photon Latency: Zero perceptual delay for 8-hour shifts- 6-Stage AI Model Optimization: Server-room AI compressed to 120MB on-device- Field Evidence: Deployed at 5 HD Hyundai Group shipyards — 50% training time reduction, 70% material waste reduction- Zero-Cloud Security Architecture: All data processed and discarded on-device This is not theory. The underlying technology is operational across 5 of the world's largest shipyards under HD Hyundai Group. Published by MetaVu Co., Ltd. (www.metavu.io)Contact: support@metavu.io