TPO-Detect: AI-driven real-time integrity detection for welding
TPO-Detect is an AI-driven software for real-time weld integrity detection using optical and thermal imaging. It provides immediate defect alerts to improve safety and reduce costs, requiring minimal training and seamlessly integrating with existing welding equipment.
Overview
TPO-Detect is an innovative software solution designed to ensure real-time integrity detection in TPO membrane welding processes. By utilizing AI-driven analysis combined with dual optical and thermal imaging, the system non-destructively identifies weld defects as they occur. This technology addresses the need for immediate alerts, allowing welders to make on-the-spot corrections, thereby reducing costly repairs and enhancing safety. The user-friendly interface requires minimal training and integrates effortlessly with existing equipment through USB camera connections.
Technical specifications
- Real-time AI analysis: The software processes images from optical and thermal cameras to detect seam alignment issues and thermal anomalies during welding.
- Dual imaging system: Utilizes both optical and thermal cameras to capture comprehensive data on the welding process.
- Platform compatibility: Available for Windows and iOS, ensuring broad accessibility.
- User-friendly interface: Designed for ease of use, facilitating integration with minimal training.
- Immediate alerts: Provides real-time notifications of defects, allowing for rapid response and correction.
Technology readiness level
Currently, TPO-Detect is at Technology Readiness Level 3. The development involves conducting TPO welding experiments and simulations to enhance AI model accuracy. Future validation will include lab and field trials to refine the software's performance and usability, leading to its deployment and integration into welding operations.
About Iowa State University
Iowa State University is a large, comprehensive public land‑grant research university based in Ames, known for combining fundamental discovery with translational, industry‑relevant work. Companies collaborate through a research and technology park that co‑locates corporate R&D with faculty labs and startups, creating steady talent pipelines. Pilot‑scale facilities, field test sites, and a statewide extension network support prototyping, validation, and deployment with partners across the region. Research is supported by competitive federal funding, including awards from NSF, USDA, and DOE. A dedicated technology transfer office and affiliated research foundation streamline IP, licensing, and startup formation, with incubator space on site.
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