Find module-level risk without losing the portfolio view.
Thermal drone inspection, terrain survey, construction monitoring and Falcon AI portfolio intelligence for utility-scale solar assets across India.
What makes this ground
consequential.
Defects hide inside scale
Thousands of modules, strings and electrical connections make manual sampling slow and inconsistent across a distributed portfolio.
Evidence arrives disconnected
Thermal frames, site lists and maintenance records often lack a stable spatial reference or common severity system.
Maintenance competes for priority
Teams need to distinguish urgent safety or yield risks from lower-confidence anomalies before mobilising corrective work.
Pre-construction terrain
Topography, drainage, access and earthwork intelligence for layout and design.
Construction progress
Recurring mapped capture, quantities and milestone evidence during delivery.
Thermal and RGB inspection
Module-linked hotspots, visible damage and string-level patterns captured under controlled conditions.
Electrical validation
EL and IV-curve evidence used where imagery alone cannot establish the failure mechanism.
Portfolio reporting
Consistent anomaly classes, estimated impact and action status across sites.
Evidence that enters
the operating workflow.
- Location-linked anomaly register
- Severity and maintenance priority
- Comparable site-level performance evidence
- Falcon AI portfolio visibility
- Documented inspection conditions and limitations
A utility-scale portfolio became inspectable as one system.
Challenge
A distributed portfolio required consistent defect evidence tied to module location, confidence and maintenance priority.
Aerial solution
SurveyCopter standardized thermal, RGB and electrical records and organized the findings into one review workflow.
Result
The programme retained the site and asset context needed for prioritised maintenance without exposing client-confidential records.