Autodesk University
Industry Talk    CS226835
Merging AI with BIM 360 to Reduce Safety Risk and Improve Progress Tracking: The Skanska Case Study
Autodesk University
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Managing construction progress and safety is a visual process. How could Skanska leverage advances in artificial intelligence to save time and reduce jobsite risk on top of Autodesk’s BIM 360 platform? Skanska worked with Autodesk partner to apply two kinds of machine learning to the challenges of progress documentation and Safety Risk reduction. Automated statistics were generated based on the detection of these risk factors in photos from Autodesk BIM 360 and used to benchmark project risks over time. For progress tracking, machine learning was used to analyze narrated jobsite walks and automatically generate searchable progress documentation. Photos from BIM 360 were indexed automatically, eliminating time spent on finding relevant photos and improving jobsite risk analysis. Managers could use search and collaboration features to find photos and videos by relevant tags, and share dynamic links to access them with both internal and external team members.


  • Understand how you can use the data you are already collecting in photos and BIM 360 to reduce jobsite safety risk
  • Learn how to explain artificial intelligence and machine learning to friends and family
  • Understand Autodesk’s Forge integration platform
  • Understand best practices and lessons learned when implementing