Berise and Interface Complete Field Test for Next-Generation Manufacturing Operations Foundation Using Digital Twins and Smart Glasses

Key facts

  • Berise and Interface Complete Field Test for Next-Generation Manufacturing Operations Foundation Using Digital Twins and Smart Glasses
  • Berise and Interface have completed a 2025 field test of a work support system for manufacturing sites, utilizing digital twins and smart glasses. The system connects site operations with record data in real-time, building an operational model that reduces worker burden.
  • Source: PR Times
  • Date: June 2, 2026

Direct answer

Berise and Interface have completed a 2025 field test of a work support system for manufacturing sites, utilizing digital twins and smart glasses. The system connects site operations with record data in real-time, building an operational model that reduces worker burden.

Citation
Berise and Interface Complete Field Test for Next-Generation Manufacturing Operations Foundation Using Digital Twins and Smart Glasses (June 2, 2026), PR Times
Source
PR Times
Date
June 2, 2026
Berise and Interface have completed a 2025 field test of a work support system for manufacturing sites, utilizing digital twins and smart glasses. The system connects site operations with record data in real-time, building an operational model that reduces worker burden.
その他NQ 45/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: June 2, 2026 at 19:00
  • 🔍 Collected: June 2, 2026 at 10:20
  • 🤖 AI Analyzed: June 2, 2026 at 10:25 (4 min after Collected)
Berise (Headquartered in Hiroshima, Japan; CEO: Toshiyuki Hatama; hereinafter "Berise") and Interface (Headquartered in Hiroshima, Japan; hereinafter "Interface") have jointly completed a field test for a manufacturing work support system utilizing digital twins and smart glasses for the 2025 fiscal year.

In this verification, they built a system that links worker behavior, locations, process information, and recorded data in real-time for labor-intensive tasks such as work logging, verification, photography, and progress monitoring. This demonstrated the system's effectiveness as a next-generation operational foundation that accumulates information without interrupting workflow and enables remote monitoring.

This initiative aims to build a "field data foundation" that connects to future AI utilization, skill transfer, process optimization, and remote support, rather than just short-term operational improvements. By collaborating with Interface, which has deep knowledge of manufacturing floors, and Berise, which specializes in XR and digital twin technologies, they conducted the verification with a focus on practical implementation.

## Background

Domestic manufacturing faces serious challenges such as labor shortages due to an aging population, dependency on skilled workers, paper-based records, and fragmented information management. While facility monitoring and core system digitization have progressed, workers on the floor still bear significant loads regarding judgment and record-keeping.

What is needed is a mechanism to effortlessly digitize not just facilities but "human work" to improve site operations. Berise and Interface aimed to create a new operational model where information can be recorded, shared, and utilized on-site by combining spatial visualization through digital twins with hands-free work support via smart glasses.

## Overview of the Field Test

Targeting Interface's factory floor, the test built a system that integrates information such as inspection sheets, manuals, and work photos with on-premises servers and digital twins.

Specifically, workers wear smart glasses to log in and check in at specific work locations to display relevant inspection sheets and manuals. This allows for hands-free, on-site completion of checks and records that were previously managed through paper or PCs.
Furthermore, photos taken during work steps are automatically linked to product and process information and saved to on-premises servers, reducing the need for manual sorting and post-processing.

In addition, site operations are reflected in a 3D factory model (digital twin), allowing managers to remotely grasp "who is doing what work, where, and when."

## Results of the Field Test

This verification confirmed the effectiveness of a foundation that links work information and record data in real-time without stopping floor operations. Key achievements include:

- Digitization of ancillary tasks like checking paper forms and sorting photos, leading to reduced worker burden.
- Improved record accuracy and reduced administrative man-hours through automatic linking of photo data with product and process info.
- Real-time visualization of site status on a digital twin, enabling managers to oversee the floor remotely.
- Construction of a data foundation for future AI image analysis, process improvement, and skill transfer.

Quantitative results include:

- Work record sorting man-hours: 9.3% reduction (per day, due to automatic linking).
- Manager monitoring time: 95% reduction (significant reduction in search time per item).

These metrics are currently being organized as indicators for future development.

## Roles of the Two Companies

As an industrial PC manufacturer, Interface provided practical field expertise, identified site issues, and conducted validation from an operational perspective. Berise utilized its knowledge in XR, 3D space construction, digital twins, and UI/UX design to design and develop the work support features for smart glasses and the digital twin visualization foundation.

Through this collaboration, they successfully verified a highly implementable site DX model targeting worker actions and records, not just facilities and management systems.

FAQ

ビーライズとインタフェースが行った実証実験の目的は?

製造現場における作業記録、確認、撮影、進捗把握といった人手に依存しやすい業務を対象に、デジタルツインとスマートグラスを活用して現場作業を止めずに情報を蓄積し、遠隔からも状況把握が可能な次世代運用基盤の有効性を検証することです。

スマートグラスを活用することで、どのような現場の変化が生まれましたか?

作業者はハンズフリーで検査成績表やマニュアルの確認、作業記録写真の撮影が可能となりました。特に、記録写真と製品・工程情報を自動で紐付ける仕組みにより、紙帳票やPCを介した付帯業務が効率化されました。

実証実験で得られた定量的な成果は何ですか?

作業記録整理工数が1日あたり9.3%削減され、管理者による状況把握時間は95%短縮されるなどの成果が得られました。

管理者は遠隔からどのように現場状況を把握できますか?

3Dモデル化された工場のデジタルツイン上に、作業現場の状況が反映されるため、遠隔から「いつ、誰が、どこで、何の作業をしているか」を把握できます。

今回の実証実験の将来的な展望は?

短期的な業務改善だけでなく、将来的にはAI画像解析や工程最適化、技能継承へつなげるための「現場データ基盤」として活用することを見据えています。