Computer Vision in Facilities Management
Automating visual estate condition surveys, drone roof inspections, thermal leak detection, and mechanical wear identification using convolutional neural networks.
- ResponseOut-of-hours cover
- ComplianceStatutory testing & records
- EstatesCommercial & industrial
- ScopeHard & soft services
Key Takeaways: Computer Vision in Facilities Management

Automated Defect Tagging via Computer Vision
Infrared thermography scans of high-voltage distribution boards and ductwork expose thermal hotspots caused by loose electrical terminations or failing bearings. Convolutional neural networks automate anomaly detection across thousands of survey images.
Automating Visual Defect Recognition at Scale
Building surveying traditionally requires manual inspection from cherry pickers, scaffolding, or rope access. High-resolution drone imagery combined with computer vision algorithms can scan thousands of square metres of roof membrane, cladding panels, and masonry in hours—automatically identifying spalling brickwork, missing flashing, vegetative growth, and gutter blockages with millimeter precision.
Thermal Imaging & Energy Leak Detection
Infrared radiometric vision models analyse building envelopes to identify missing insulation, thermal bridging, and fenestration seal failures. In electrical switchrooms, thermographic vision systems detect hot spots in distribution boards before switchgear flashover occurs.
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