Safie, Shimizu Corporation, and partners launch joint validation of 'AI Construction Management System' integrating video, AI, and project data
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.
📋 Article Processing Timeline
- 📰 Published: May 20, 2026 at 17:30
- 🔍 Collected: May 20, 2026 at 09:01
- 🤖 AI Analyzed: May 20, 2026 at 09:05 (3 min after Collected)
## 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'
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'
FAQ
Who developed the AI construction management system?
It was jointly developed by Safie, Shimizu Corporation, WebI, and KOLC.
How does the system automate scheduling?
AI analyzes work progress and sends data to 'Koutei's Orario,' enabling automatic schedule adjustments and material ordering updates.
What is an 'autonomous construction site'?
It refers to a site where technology complements manual processes, allowing the site itself to judge conditions and determine optimal responses.