Thermal & Condition Intelligence

Radiometric thermal imaging captures precise, calibrated temperature data for each pixel in the image. Unlike standard thermal cameras that show only relative colour differences, radiometric sensors measure actual temperatures. This is critical for identifying the severity of a fault and tracking degradation over time with quantitative, auditable data.

Standard thermal cameras show qualitative colour maps of relative temperature differences but cannot measure actual temperatures. Radiometric cameras capture precise, calibrated temperature data for every pixel. This enables engineers to quantify fault severity, track degradation over time, and produce auditable evidence for insurance claims and compliance reporting.

Industry best practice recommends annual thermal inspections for critical electrical infrastructure (switchboards, transformers, distribution boards, solar panels) and biennial inspections for building envelopes, roofing, and mechanical systems. For assets with known issues or high-consequence failures, quarterly or monthly monitoring establishes trend baselines that predict component failure 6 months before any visible symptoms appear, significantly reducing unplanned downtime. This predictive approach reduces reactive maintenance costs by 3-5x and extends asset life.

Yes. A single drone flight inspects 1 MW of solar panels in approximately 15 minutes, compared to 2-3 days using handheld methods. Thermal inspection identifies hot spots, bypass diode failures, cell cracking, PID (Potential Induced Degradation), and string failures. Studies show 30-40% more defects found than ground-based visual assessment, with each undetected hot spot potentially reducing panel output by 10-25% and creating fire risk.

Yes. We deploy ground-based radiometric systems, handheld thermal imaging, indoor drones and robotics, and collision-tolerant confined space drones to inspect switchboards, roof spaces, lift shafts, mechanical rooms, tanks, and vessels. This allows comprehensive inspection without requiring human entry into hazardous areas, improving safety and reducing downtime.

High-resolution thermal data overlaid onto a dimensionally accurate 3D digital twin of your asset, processed through our enterprise reality modelling platform and delivered via browser-based 3D viewer. Your team sees exactly where faults are in spatial context, measures distances, and plans repairs with centimetre-level accuracy from any web browser.

Drone thermal inspection typically costs 50-70% less than traditional methods using elevated work platforms, rope access, or scaffolding to achieve the same coverage. The cost reduction comes from eliminating access equipment hire and traffic management, and from the 3-5x faster capture times compared to ground-based methods. For portfolio programs spanning multiple buildings, per-asset costs are further reduced through mobilisation efficiencies.

Calibrated radiometric data provides auditable, engineering-grade evidence of pre-loss condition, post-loss damage extent, and defect severity. Temperature measurements accurate to plus or minus 2 degrees Celsius, corrected for atmospheric conditions, are admissible as engineering evidence in claims and litigation. This accelerates claims processing, eliminates disputes, and ensures fair settlements.

By conducting regular condition assessments, we identify subtle temperature deviations that indicate developing faults. This trend analysis allows you to repair components before they fail. The predictive approach reduces reactive maintenance costs by 3-5x and extends asset life by identifying degradation patterns early, typically 6 months before visible failure occurs.

Yes. We routinely overlay thermal imagery onto high-resolution visual orthomosaics, LiDAR point clouds, and 3D/8D models. This multi-sensor fusion provides a comprehensive view of both physical condition and thermal performance in a single interactive model for better decision-making, precise maintenance planning, and comprehensive asset management.

Yes. Radiometric thermal imaging detects moisture ingress by identifying temperature differentials caused by evaporative cooling. Wet areas appear 2-5 degrees Celsius cooler than surrounding dry materials. This non-destructive method identifies leaks without opening walls or roofs, achieving 98.5% detection accuracy when combined with AI-powered analysis for early intervention.