Overview
Built under a Navy Phase I SBIR, NeuroVision uses AI-driven segmentation, alignment, and anomaly detection to verify as-built conditions against reference data (e.g., CAD/BIM). A GPU-accelerated renderer with an adaptive level-of-detail keeps interactions smooth on dense, complex ship spaces. The MR workspace enables real-time, multi-user reviews with georegistered annotations, precision measurement (mensuration), automated clash/tolerance checks, and cloud-based version control for traceability. The result is faster planning, higher confidence in fit and clearance, and fewer on-hull surprises during integration, modernization, and sustainment activities.
Objectives
- Visualize, edit, and validate large-scale LiDAR/photogrammetry point clouds in mixed reality to conduct virtual ship checks that support design, installation, and modernization—delivering on time at lower cost
- Preempt rework with automated clash detection and tolerance analysis to discover spatial conflicts before fabrication or shipboard execution
- Enable synchronized collaboration through a secure, shared MR environment for inspection, annotation, and co-editing of 3D models by distributed engineering teams
- Maintain authoritative records via persistent spatial annotations and cloud/server-based version control to track decisions and changes across the lifecycle
- Accelerate data readiness with AI-assisted preprocessing, segmentation, filtering, and optimization to improve load times, fidelity, and usability of complex point clouds
Development Purpose
The U.S. Navy needs real-time, mission-ready tools to understand and act on complex shipboard environments captured from large 3D datasets. Today’s workflows, which rely on static viewers, siloed files, and limited collaboration, slow installation planning, complicate configuration control, and increase the risk of costly on-hull rework. NeuroVision addresses this gap with a secure, intuitive MR environment that combines GPU-accelerated, physics-aware rendering; AI-powered anomaly detection; and true multi-user collaboration. By revealing conflicts early, preserving context and decisions, and enabling distributed teams to work from the same validated model, NeuroVision reduces integration risk, shortens review and approval cycles, and speeds confident decision-making across ship modification and sustainment efforts.