Elop Technology has secured funding from the Research Council of Norway (Forskningsrådet) under the Innovation Project for the Industrial Sector (IPN) program for its project titled “IntellScan – High-speed ultrasound inspection for life extension of concrete assets.”
The project focuses on developing an AI-based data analysis platform aimed at advancing the use of ultrasound in non-destructive testing (NDT) of concrete structures. By combining Elop’s rolling ultrasound technology with machine learning capabilities, the initiative is designed to improve the speed, automation, and reliability of interpreting large-scale inspection data.
The development comes amid increasing demand for more efficient inspection technologies as critical infrastructure such as bridges, tunnels, and offshore structures continue to age. While ultrasound inspection remains effective for identifying internal defects, the interpretation of inspection data has traditionally been complex and time-intensive.
Through IntellScan, Elop Technology aims to address these challenges by introducing AI-assisted analysis tools capable of supporting faster decision-making and improving consistency in inspection results.
The project’s development areas include enhancing 3D ultrasound image quality through advanced signal processing and artificial intelligence, automated identification and classification of defects such as cracks, voids, and delamination, and the creation of a foundation model for large-scale 3D ultrasound datasets. The initiative also includes the development of explainable AI methods intended to improve trust and usability in field inspection environments.
The project is being carried out in collaboration with Inspekt Norway and Norsk Regnesentral (NR), combining expertise in inspection services, applied artificial intelligence, and research.
In addition to advancing inspection capabilities, the project is expected to support more sustainable infrastructure management by enabling earlier identification of deterioration in concrete assets. The approach is aimed at extending service life, reducing maintenance costs, improving operational safety, and lowering environmental impact.
According to the company, the IntellScan project will continue over the coming years and will include prototype development, field validation, and gradual integration into the Elop Insight ecosystem.
Reference: https://elop.no/elop-technology-secures-rcn-funding-for-ai-based-ultrasound-inspection-project/
