Site Progress Monitoring

Automate real-time construction progress tracking using AI and digital twin data integration.

Business impact

• Project schedule adherence — Improves tracking accuracy to identify delays and keep projects on planned timelines
• Cost overruns — Reduces unexpected expenses by early detection of issues and better resource allocation
• Productivity rates — Enhances workforce and equipment utilization through timely progress visibility and adjustments

Data requirements

• 360-degree site images (Image) — Capture comprehensive visual data of construction status for AI analysis
• Building Information Modeling (BIM) data (Structured) — Provide planned project models to compare actual progress against
• Drone 3D scans and LiDAR data (Image) — Deliver precise spatial measurements for accurate site condition mapping
• Sensor and IoT data (Numeric) — Supply real-time environmental and equipment status to complement visual data

AI methods and techniques

• Predictive AI — Forecast project delays and risks by analyzing progress trends and deviations
• Generative AI — Create visual progress reports and summaries from raw site data automatically
• Agentic AI — Automate task tracking and alert stakeholders proactively about issues

AI models and model families

GPT-4, Claude, OpenSpace Spatial AI, Buildots AI, Custom Computer Vision Models