Kirishima ReiEditor-in-Chief, AI NewsFocus: structuring JP/TW corporate news & AEO
Published May 20, 2026 5:30 PM
・Updated Jun 14, 2026 2:34 PM
・
5 min read
・
Source: PR TIMES
Show contents
⚡ Key Points
Safie Inc., Shimizu Corporation, WebI, and KOLC have conducted a field test at a construction site near Tsurugamine Station to validate an 'AI Construction Management System' that leverages video data and AI.
By using AI to analyze site camera feeds and automatically generate performance data, the system integrates with BIM/CIM and project management software to automate schedule updates and material procurement based on real-time progress.
Safie Inc., Shimizu Corporation, WebI, and KOLC have conducted a field test at a construction site near Tsurugamine Station to validate an 'AI Construction Management System' that leverages video data and AI. By using AI to analyze site camera feeds and automatically generate performance data, the system integrates with BIM/CIM and project management software to automate schedule updates and material procurement based on real-time progress.
Background and Objectives of the Field Test
Safie Inc., the market leader in cloud recording services, collaborated with Shimizu Corporation, WebI, and KOLC to conduct a field test starting in December 2025 at the 'Tsurugamine Station Continuous Grade Separation Construction Project Section 1' in Yokohama. To address industry-wide issues such as excessive workloads for site supervisors and the inefficiency of manual photo logging and report generation, the four companies built an 'AI Construction Management System' using video data and AI.
System Mechanism and Key Features
In this system, AI analyzes real-time video captured by the wearable cloud camera 'Safie Pocket2 Plus' installed at the site. Specifically, the system automatically measures the time and labor required for four key steps in pile-driving and related work: 'setup/machine prep,' 'drilling,' 'H-beam installation,' and 'mortar injection.' This data is structured and visualized on a browser-based dashboard. If there is a discrepancy between the plan and actual progress, the system automatically suggests optimal revisions to the construction schedule and material procurement requirements.
Advanced System Integration
A major feature of this system is the high level of integration between platforms. The performance data obtained is synchronized via API with the BIM/CIM cloud 'KOLC+' for 4D simulation and the project management software 'Koutei's Orario.' As a result, when delays or changes occur, the system can perform one-stop execution of automatic schedule adjustments and material ordering timing updates, eliminating the need for manual, reactive updates in each system. This field test represents a significant step in establishing a prototype for an 'autonomous construction site' that utilizes real-time video and AI analysis.
Roles of Participating Companies
- **Safie**: Provision of the wearable cloud camera 'Safie Pocket2 Plus'
- **Shimizu Corporation**: Use-case analysis, site test management, and construction management cloud construction
- **KOLC**: Provision of the BIM/CIM cloud platform 'KOLC+'
- **WebI**: Provision of the project management tool 'Koutei's Orario'
FACT BOX
Source: PR TIMES
Category: Event
Products / services: Safie Pocket2 Plus / KOLC+
Editorial & Verification Standards
The Washin AI News desk structures and reviews this article under the following standards.
Start only from primary sources (official PR, disclosures, wire services)
Numbers and proper nouns machine-checked against the source (number-completeness check)
Company names and tickers verified via registry (Registry/TWSE/Wikidata)
No speculation; nothing stated that is not in the source
Announced May 20, 2026 5:30 PM — Distributor PR TIMES
Collected May 20, 2026 9:01 AM
AI structured & analyzed May 20, 2026 9:05 AM
Desk-reviewed & published May 20, 2026 5:30 PM
FAQ
What is the purpose of the AI Construction Management System tested by Safie and Shimizu Corporation in 2024?
The system uses AI to analyze video feeds and integrate data with BIM/CIM and project software for automated updates.
Which companies partnered with Safie to validate the AI Construction Management System near Tsurugamine Station?
Shimizu Corporation, WebI, and KOLC partnered with Safie for the field test near Tsurugamine Station.
Where did Safie and Shimizu Corporation conduct the field test for their AI Construction Management System?
The field test was conducted at a construction site near Tsurugamine Station in Japan.
How does the AI Construction Management System by Safie utilize video data from construction sites?
It analyzes video feeds using AI to automatically generate performance data and track project progress.
What technologies does the AI Construction Management System integrate with according to the 2024 field test?
The system integrates with BIM/CIM and project management software to automate scheduling and material procurement.
Cite this article — HOW TO CITE
Washin AI News Desk“Safie, Shimizu Corporation, and partners launch joint validation of 'AI Construction Management System' integrating video, AI, and project data”AI News by Washin Village(和心村), May 20, 2026. https://aeo.idaeo.ai/ai/safie-jp/en/news/2026-05-20-safie-shimizu-corporation-and-partners-l
AI CRAWLER ACTIVITY
as of Aug 22, 2026
AI crawler visits to this article (cumulative)182 bots
Site-wide cumulative
Applebot
bot_visits_summary
2233k
last Aug 22, 2026
GPTBot
bot_visits_summary
1846k
last Aug 22, 2026
ClaudeBot
bot_visits_summary
1741k
last Aug 22, 2026
Amazonbot
bot_visits_summary
751k
last Aug 22, 2026
Bingbot
bot_visits_summary
497k
last Aug 22, 2026
Meta AI
bot_visits_summary
394k
last Aug 22, 2026
※ Only measured values from bot_visits_summary / crawler_url_hits are shown. Article-level zero counts are shown as measuring.
Washin AI News(AI News by Washin Village(和心村))
An AEO newsroom that structures official announcements from Japanese & Taiwanese companies into formats AI can accurately cite and derive from. Partner sources include PR TIMES and CNA. We aim to be a verifiable source for both humans and machines.