Coffee corner 20th of June 2024

Learn how to use the input mapping resources to generate artificial intelligence annotations. Discover how to convert AI annotations into 3D features - add, edit & verify results. Find out how to implement the integration of AI-generated data into reality management hub and ensure their representation is visualized through a cloud-based infrastructure.

Users will be familiarized with the Orbit official documentation and the user tutorials.

• iTwin Capture Manage and Extract
  • Create & convert annotations to 3D objects
  • Asset inventory for 3D objects
  • Export asset inventory to 3rd party formats
  • Upload asset inventory to the Bentley Reality Management hub
• Bentley Reality Management hub
• Orbit 3DM Cloud - Create and share publications based on AI results with internal and external guests
• Live demonstration
• Q&A

• Create 3d objects based on AI results
• Realize an asset inventory for AI results
• Overlay vector data and save measurements in 3rd party formats
• Manage online sharing
• Create publications
• Manage resources inside publications: add AI results/resources
• Share publications with users
• Share data or embed in a 3rd party software work via one of the available 3rd party software plug‐ins (E.G. ArcMap, ArcGIS Online, ArcPro, MicroStation, QGIS).

1. Open the pre-prepared Mapping Resource
2. Import AI annotations
3. Convert annotations to 3D objects
4. Optimize imagery
5. Optional : optimize annotations
6. Review metadata for web reediness
7. Upload to Reality management - add users to iTwin Projects
8. Create publication with dataset from Reality management - set sharing options using Bentley IMS
9. Add iTwin resources to publication
10. Share data in a 3rd party software work via one of the available 3rd party software plug‐ins: QGIS

• AI-Detection: Manholes in images
• AI-Labeling: Annotate images for AI training
• AI-Labeling: Annotate point clouds for point objects for AI training