Enhancing circuit diagram understanding via near sight correction using VLMs

画像: 近接視補正(NSC)による視覚言語モデル(VLM)の回路図理解の高度化(英語)

Introduction

When an engineer needs to diagnose a fault or validate a design, the difference between minutes and hours depends upon how quickly a legacy circuit schematic can be interpreted and trusted.
At Hitachi, digital transformation is a core, organization-wide effort to convert deep engineering knowledge and legacy assets into scalable, data-driven capabilities. Electrical schematics represent a particularly high-value knowledge asset within this transformation, as they underpin system design, verification, maintenance, and long-term asset management across our industrial businesses. Much of this information, however, remains locked in image-based and document-centric formats. Moving from static schematics to machine-interpretable representations is therefore essential for enabling automation, analytics, and intelligent decision support across the full lifecycle of complex systems.

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