FPrimeC Solutions Inc.
$150,000.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2025-2026
- Agreement period
- June 1, 2025 – March 31, 2026
- Reference
- nrc-cnrc:172-2025-2026-Q2-1033029
Published purpose
The project focuses on the condition assessment and performance evaluation of existing civil infrastructure using advanced non-destructive testing (NDT) methods powered by AI-driven data analysis. To achieve this, FPrimeC will develop a labeled and validated inventory of various types of damage in civil infrastructure. This inventory will be used to train a machine learning model capable of automatically detecting different types of anomalies (e.g., cracks, voids, delamination, and corrosion signatures). Once the development is completed, the trained model will be applied to evaluate the current condition of structures, predict the remaining service life, and anticipate potential failures by integrating a digital twin technology.
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