An overview of the multi-granular crew activity recognition framework. Credit: Automation in Construction (2025). DOI: 10.1016/j.autcon.2025.106428 Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the individual and crew levels using ordinary site videos. The approach reveals how teamwork shapes productivity and provides a foundation for future human–robot collaboration on construction si