3D Data Capture and Cleaning Intern

This project will deliver a mobile, real time 3D data capture and inspection system for industrial augmented reality workflows. Leveraging recent advances in 3D Gaussian Splatting, we will implement a lightweight iPad Pro app that reconstructs surfaces with =?1.5?mm accuracy at 30?FPS. Captured point clouds will be automatically cleaned, meshed, and compared against CAD ground truth by an on device AI module, flagging deviations in under 200?ms. The result will reduce manual QC effort by up to 70?% for FabStation’s steel fabrication clients, while advancing Canadian leadership in XR, computer vision, and AI enabled manufacturing.

Faculty Supervisor:

Yvonne Coady

Student:

Partner:

FabStation

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Victoria

Program:

Accelerate

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