Weld AI Inspection Pipeline
Autonomous weld defect detection that executes instant ASME Section V quality assurance.
A YOLOv11 deep learning pipeline isolates, classifies, and measures internal welding anomalies, cross-referencing pixel-level defect geometries against ASME acceptance criteria to produce an auditable inspection record for every joint.
Technology
- Python
- PyTorch
- YOLOv11
- FastAPI
Launch Weld AI Inspection Pipeline
weldai.centauri-research.com
Hover or press Initialize & launch to warm the serverless compute pipeline for this endpoint.
Demo endpoints run on serverless infrastructure and may cold start on first request.
More applications
Ontario Grid Capacity Twin
Interactive utility headroom mapping that calculates available data center power connection limits across the regional grid.
Climate & ESGHydro-Chemical Lake Health Twin
Freshwater ecosystem twin running volumetric fluid math and chemical stability indexes for auditable conservation compliance.
Financial EngineeringIESO Options Hedging Engine
Financial simulation engine modeling automated call/put strategies to isolate industrial consumers from electricity spot-market volatility.