ShipXR

ShipXR

In tomorrow’s engineering 3D CAD (BIM) models built on VR/AR/MR replace 2D drawings made for human consumption. ShipXR is the only end-to-end collaborative 3D engineering platform that combines 3D generative design, real-time sharing with XR visualization of large 3D CAD merged with as-built point cloud data in MR hololens2 and MR remote connected worker applications in the metaverse.

Find below the link for a 3D CAD BWTS design done with our ShipMR-Design in record time, layered on top of the ship’s reality capture/point cloud: https://youtu.be/3Vo51T7WiPs

 

Proprietary XR (MR/AR/VR) SDK’s & algorithms

3D pathfinding algorithm

gif 5a optimal path3D pathfinding algorithm, being part of ShipMR-Design, utilizes advanced graph theory to find in real-time optimal routes in any 3D space either working with point clouds or CAD data. This is applicable to several industries like mining and nuclear industries for safe escape routes, aerospace, robotic automation, construction, offshore oil & gas, FRSU as well as land energy and chemical factories for optimal designs.

 

 

 

Automatic Mixed Reality (MR) Localization

Similar to ‘AR cloud’ pursued by all majors (Facebook, Snapchat, Niantic, Google, Microsoft, and Apple), looking to augment physical spaces in the real world with digital data that is anchored and persistent (i.e., where geospatial coordinates are available), we provide space registration solutions for ships and marine structures with enclosed spaces surrounded by heavy metal structures (GPS deprived environments) and are slow-moving (traveling ships). Our solution provides the capability to remotely augment the physical world with location-specific digital data with engineering accuracy. ShipMR-Remote linked into the point cloud ship 3D geometry data embedded in our VR tool, works in any complex industrial location of interest: utilizing Mixed Reality SLAM (Simultaneous Localization and Mapping) enables simultaneous tracking of the position of the virtual model and automatic registration and mapping of the 3D environment in MR headsets. With this capability, “Spatial Intelligence” can be automated in VR and AR applications. In particular, frontline workers can walk in the actual ship / offshore platform environment, while equipment, machinery, and spaces are identified in real-time AR point cloud registration and feature identification algorithms. Data related to each equipment, machinery, or space can be dynamically positioned to the exact physical location, and the user can retrieve and visualize relevant information in real-time. Looking to extend the application with LIDAR-enabled mobile phones.

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