The Last Mile of Manufacturing DX

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: [email protected]

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-25
DOI
https://doi.org/10.5281/zenodo.18795155
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

The Last Mile of Manufacturing DX

Ltd. MetaVu Co., JINSONG ROH
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
article

The Last Mile of Manufacturing DX

Ltd. MetaVu Co., JINSONG ROH
article en

Abstract

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: [email protected]

Zenodo (CERN European Organization for Nuclear Research)
Corporación Universitaria del Meta (CO)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Artificial Intelligence Applications
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