AI and computer vision software for radiographic weld defect detection
Advanced AI and computer vision software for automatic defect detection in radiographic images of membrane welds, enhancing inspection accuracy and reducing manual interpretation costs.
Overview
This innovative software solution leverages Artificial Intelligence (AI) and Computer Vision to automate the inspection of weld integrity using X-ray radiographs. Designed to detect and classify defects in membrane welds, the system increases accuracy and speeds up the inspection process. By reducing dependence on manual interpretation, it offers a scalable and cost-effective method for industrial applications. This solution builds on previous successes in pipeline weld inspection, providing a customizable graphical user interface (GUI) for visualization, editing, and report generation.
Technical specifications
The technology combines advanced image processing techniques with deep learning models to extract and analyze patterns from radiographic images. It integrates both theory-driven and data-driven approaches to ensure robust defect detection even under noisy conditions. Key features include:
- Customizable GUI for interactive result visualization and editing
- Automated report generation for streamlined documentation
- Compatibility with various imaging conditions and membrane thicknesses
- Scalable solution adaptable to different industrial settings
Technology readiness level
Currently at Technology Readiness Level 5, the software has undergone component and/or breadboard validation in a relevant environment. The development process includes acquiring and annotating radiographs, training defect detection models, and optimizing for real-time use. Future phases involve field testing with industry collaborators to refine reliability and usability, culminating in a deployable prototype, an annotated dataset, a training pipeline, and a comprehensive user manual.
About Purdue University
Purdue University is a comprehensive public land‑grant research institution in West Lafayette, Indiana, anchored by a large residential campus. Industry engages through co‑located core facilities, pilot‑scale testbeds, and an adjacent innovation district that brings together labs, corporate R&D space, and maker resources near faculty talent. A statewide Extension network and an established engineering co‑op program connect companies to field sites, workforce pipelines, and pragmatic pathways from concept to deployment across Indiana. Research is supported by competitive federal funding from NSF, DOE, USDA, NIH, and the Department of Defense, and commercialization is managed by a dedicated technology transfer office in partnership with the university’s affiliated research foundation.
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