Automated Smart Tagging for Digital Twin-Based Infrastructure Inspection and Analysis
21 August 2026
An AI-powered smart tagging and digital twin platform that automate the inspection, annotation, and reporting of structural defects.
Technology overview
An AI-powered smart tagging and digital twin platform that integrates drone-based photogrammetry, machine learning (ML) defect detection, and generative AI to automate the inspection, annotation, and reporting of structural defects. The system addresses critical gaps in current workflows by accurately mapping two-dimensional (2D) defect images onto three-dimensional (3D) digital twin models, enabling precise defect localisation and visualisation.
Technology features
Advanced Photogrammetry for Complex Façades: Optimised algorithms and texture-based abstraction techniques address longstanding challenges with reflective surfaces (e.g., glass curtain walls) and recessed areas.
Generative AI-Enhanced Defect Detection: Generative AI is employed for synthetic data augmentation and automated annotation, enabling transfer learning to update and refine existing ML models. This improves defect detection accuracy for complex façade features while reducing false positives and negatives.
Smart 2D-to-3D Defect Tagging: A novel image tagging algorithm correlates 2D close-range inspection images with 3D digital twin models using image metadata and feature co-relation, resolving synchronisation challenges arising from metadata mismatches, resolution differences, and scale or distortion issues.
Multi-Infrastructure Applicability: The platform is designed to extend defect detection capabilities to bridges, telecommunications towers, solar panels, and other critical infrastructure types, broadening its commercial applicability.
Potential applications
Building façade inspection
Broader infrastructure inspection
Predictive maintenance platforms
Smart city integration
Software-as-a-Service (SaaS) product development
Commercialisation
The technology is available for licensing and technology transfer.
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