“Since 2010, our research has focused on advancing the fundamental principles of computer vision analytics to enable more effective monitoring and control of projects across construction and operations.

This work has led to the development of practical applications that enhance situational awareness and significantly improve information flow for AEC/FM practitioners. The commercial solutions have been deployed on 10s of thousands of construction projects worldwide.”

Our Mission

The Real-time and Automated Monitoring and Control (RAAMAC) Group at the University of Illinois Urbana-Champaign advances the science and practice of AI-driven sensing, analytics, and decision-making for the built environment. Our mission is to bridge the gap between design intent and as-built reality by developing scalable, data-driven solutions that transform how projects are monitored, controlled, and operated across the AEC/FM lifecycle.

Core Objectives

Research
We develop next-generation methods that fuse visual data (images, videos, point clouds) with BIM, schedules, and domain knowledge to sense, model, analyze, and predict project performance. Our work focuses on closing the loop between expected and actual conditions through digital twins, enabling proactive production control, automated progress tracking, and performance analytics at scale.

Education
We educate the next generation of leaders and innovators in AI for the built environment by integrating cutting-edge research into curricula, seminars, and experiential learning. Our goal is to equip students and practitioners with the knowledge and tools to leverage AI-driven project controls, digital twins, and data-centric workflows in real-world applications.

Industry Engagement and Impact

In close collaboration with industry partners, RAAMAC:

  • Conducts cutting-edge research in visual sensing, semantic understanding, multimodal data fusion, and performance analytics to support monitoring and control across pre-construction, construction, and operations

  • Develops and deploys digital twin and D4AR (Design for Automated Reality Capture and Analytics) frameworks that integrate reality capture with BIM and schedules for actionable insights

  • Translates research into scalable solutions and products that deliver measurable improvements in productivity, quality, and risk management

  • Delivers executive education, professional training, and workforce development programs to accelerate adoption of AI and data-driven practices across the AEC/FM industry