Asset inspection & cleaning
Defect evidence and maintenance access for difficult assets.
Inspection finds and prioritises anomalies; controlled drone cleaning helps treat inaccessible surfaces with less exposure.
SurveyCopter combines visual, thermal and electrical evidence into location-linked asset registers. The inspection method changes with the asset: solar modules, blades, conductors, roofs and façades do not share the same sensor geometry or acceptance criteria.
Where maintenance is required, tethered ground-operated cleaning systems can reduce scaffolding, elevated-platform exposure and shutdown complexity.
Scope this serviceComplete scope.
One accountable team.
Solar thermal inspection
Module-level hotspot, string and performance-anomaly mapping.
Solar EL and IV testing
Electrical evidence to validate defects and estimate performance impact.
Wind turbine inspection
Blade, tower and nacelle condition records from safe stand-off positions.
Transmission inspection
Tower, pole, feeder, insulator and vegetation-condition evidence.
Industrial and façade inspection
RGB and thermal review of roofs, stacks, cladding and inaccessible structures.
Tethered drone cleaning
Controlled treatment for façade, solar, grid and industrial surfaces.
Built for where the ground matters.
- Solar portfolios
- Wind farms
- Transmission networks
- Industrial plants
- Commercial buildings
- High-rise façades
Evidence your team can use.
- Geotagged anomaly register
- Thermal and RGB evidence
- Severity classification
- Loss and priority analysis
- Cleaning plan
- Completion evidence
- Portfolio dashboard
Specified for the decision.
Verified for delivery.
Solar irradiance, wind, reflections, blade position, electrical operating state and façade material can change the evidence. Capture windows and exclusions are recorded before inspection, and cleaning pressure or access is assessed against the asset and manufacturer constraints.
- Radiometric thermal and high-resolution RGB payloads
- Solar EL and IV-curve test equipment
- Telephoto stand-off inspection
- Tethered ground-supplied cleaning systems
- Asset-linked anomaly classification
- Geotagged JPG and radiometric thermal files
- GIS anomaly layers and asset registers
- CSV/XLSX defect schedules
- PDF condition and loss reports
- Falcon AI portfolio views
Inspection confidence is governed by sensor calibration, viewing geometry, operating state and environmental conditions. Each finding carries location, evidence and classification; destructive conclusions are not inferred from imagery alone.
Falcon AI links observations to the correct module, blade, tower or façade zone so asset owners can review severity, responsibility, treatment and closure across an entire portfolio.
From scope
to defensible delivery.
Plan
Define asset hierarchy, sensor, operating limits and defect taxonomy.
Inspect
Capture repeatable RGB, thermal or electrical evidence.
Classify
Review anomalies against agreed severity and confidence rules.
Locate
Link each observation to the exact module, blade, tower or façade zone.
Treat
Deploy cleaning only where the asset and operating conditions permit.
Close
Publish before-and-after evidence and maintenance reporting.
Sorigin renewable portfolio
A distributed solar portfolio required consistent defect evidence and a way to prioritise action across sites.
Thermal and visual inspection records were standardised and linked to asset locations and reporting.
The programme identified 3,155 anomalies across 46 sites; the cleaning platform supports up to 1,000 m² per hour.
Practical answers.
Can drones identify solar hotspots?
Yes, when thermal capture follows appropriate irradiance, angle, calibration and operating conditions and findings are technically reviewed.
Does inspection require asset shutdown?
It depends on the asset and method. Many visual and thermal inspections reduce shutdown needs, while electrical tests may require controlled operating conditions.
Is drone cleaning suitable for every façade?
No. Surface, access, anchoring, water management, wind, pressure and manufacturer constraints are assessed before deployment.