The IntellScan initiative seeks to optimize the inspection of concrete structures using advanced ultrasound and artificial intelligence.
The Norwegian company Elop Technology received funding from the Research Council of Norway (Forskningsrådet) to develop the IntellScan project, an artificial intelligence-based platform aimed at improving the ultrasonic inspection of concrete structures through non-destructive testing (NDT).
The project is part of the Innovation Project for the Industrial Sector (IPN) program and is oriented toward extending the service life of critical infrastructure such as bridges, tunnels, and marine structures through automated and more precise analysis.
IntellScan will integrate AI and mobile ultrasound
The platform will combine the mobile ultrasound technology developed by Elop with modern machine learning algorithms to facilitate the interpretation of large volumes of inspection data.
According to the company, one of the main current challenges in ultrasonic inspection is the complexity and time required to interpret data obtained from large structures. IntellScan seeks to solve this problem through AI-assisted analysis that allows for faster decision-making and more consistent results.
Development of 3D imaging and automated defect detection
Key development areas of the project include:
- Improvement of 3D ultrasonic imaging through advanced signal processing and artificial intelligence.
- Automated detection and classification of defects such as cracks, voids, and delaminations.
- Development of foundation models for large volumes of 3D ultrasonic data.
- Implementation of explainable AI methods to increase trust and usability in field applications.
The project is being developed in collaboration with Inspekt Norway and Norsk Regnesentral (NR), organizations that will provide expertise in inspection, applied research, and artificial intelligence.
Safer and more sustainable infrastructure
Elop noted that IntellScan also seeks to contribute to more sustainable infrastructure management through the early detection of structural deterioration.
The company believes that this capability could help reduce maintenance costs, improve operational safety, and decrease the environmental impact associated with major repairs or premature replacements of structures.
The project will be developed over the coming years and will include prototype phases, field testing, and gradual integration within the Elop Insight technology ecosystem.
Source and photo: https://elop.no/