Elop Technology has been awarded funding from the Research Council of Norway (Forskningsrådet) under the Innovation Project for the Industrial Sector (IPN) program for the project “IntellScan – High-speed ultrasound inspection for life extension of concrete assets.”
This project aims to develop an advanced AI-based data analysis platform that enhances the use of ultrasound in non-destructive testing (NDT) of concrete structures. By combining Elop’s rolling ultrasound technology with modern machine learning methods, IntellScan will enable more efficient, automated, and reliable interpretation of large-scale inspection data.
The need for improved inspection methods is growing as critical infrastructure such as bridges, tunnels, and offshore structures continue to age. While ultrasound is well suited for detecting internal defects, data interpretation remains complex and time-consuming. IntellScan addresses this challenge by introducing AI-assisted analysis, supporting faster decision-making and more consistent results.
Key areas of development include:
- Improved 3D ultrasound image quality through advanced signal processing and AI
- Automated detection and classification of defects such as voids, cracks, and delamination
- Development of a foundation model for large-scale 3D ultrasound data
- Explainable AI methods to increase trust and usability in field applications
The project is carried out in collaboration with Inspekt Norway and Norsk Regnesentral (NR), combining expertise in inspection services, applied AI, and research.
Figure 1: Illustration of the proposed IntellScan solution.
Beyond technical advancements, IntellScan aims to contribute to more sustainable infrastructure management by enabling earlier detection of deterioration and extending the service life of concrete structures. This supports reduced maintenance costs, improved safety, and lower environmental impact.
The project will run over the coming years, with prototype development, field testing, and gradual integration into the Elop Insight ecosystem.
