STRUCTURE
Predictive Maintenance and Inspection of Transportation Infrastructure via Multi-Modal Sensing AI
Project description
The STRUCTURE project aims to automate and improve inspection and maintenance of transport infrastructure through a hardware and software framework built on four core technological innovations. It includes a sensor suite for detecting surface and subsurface defects using various modalities. An autonomous carrier platform will transport the sensors with precision, even in complex structures. AI algorithms will analyse combined sensor data for fault detection. And ultimately, a Digital Twin as a Service (DTaaS) will integrate inspection data with 3D models, geological maps, and traffic profiles to support asset health monitoring, predictive maintenance, and decision-making.
Belgium
FLIR Systems Trading Belgium
Belgium
SIRRIS
Belgium
SkyeBase
Belgium
XenomatiX NV
Belgium
Zensor
Belgium
Portugal
The Netherlands
Antea Group NL
The Netherlands
Avular Innovations B.V.
The Netherlands
Eindhoven University of Technology
The Netherlands
Sorama B.V.
The Netherlands
SpectX B.V.
The Netherlands
Türkiye
United Kingdom
Birmingham City University
United Kingdom
Evolve Dynamics Ltd
United Kingdom
National Highways
United Kingdom